<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0" article-type="research-article">
  <front>
    <journal-meta><journal-id journal-id-type="publisher">NHESS</journal-id><journal-title-group>
    <journal-title>Natural Hazards and Earth System Sciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">NHESS</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Nat. Hazards Earth Syst. Sci.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1684-9981</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/nhess-22-4119-2022</article-id><title-group><article-title>Tsunami risk perception in central and southern Italy</article-title><alt-title>Tsunami risk perception in central and southern Italy</alt-title>
      </title-group><?xmltex \runningtitle{Tsunami risk perception in central and southern Italy}?><?xmltex \runningauthor{L. Cugliari et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Cugliari</surname><given-names>Lorenzo</given-names></name>
          <email>lorenzo.cugliari@ingv.it</email>
        <ext-link>https://orcid.org/0000-0001-6889-3915</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Crescimbene</surname><given-names>Massimo</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-3935-0070</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>La Longa</surname><given-names>Federica</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-8493-8781</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Cerase</surname><given-names>Andrea</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1099-9036</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Amato</surname><given-names>Alessandro</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-9521-6570</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Cerbara</surname><given-names>Loredana</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-5905-6944</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Earthquakes Department, National Institute of Geophysics and Volcanology, 00153, Rome, Italy​​​​​​​</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Department of Communication and Social Research, La Sapienza
University, 00198, Rome Italy</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Institute of Research on Population and Social Policies, National
Research Council, 00185, Rome, Italy</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Lorenzo Cugliari (lorenzo.cugliari@ingv.it)</corresp></author-notes><pub-date><day>22</day><month>December</month><year>2022</year></pub-date>
      
      <volume>22</volume>
      <issue>12</issue>
      <fpage>4119</fpage><lpage>4138</lpage>
      <history>
        <date date-type="received"><day>2</day><month>August</month><year>2022</year></date>
           <date date-type="rev-request"><day>6</day><month>September</month><year>2022</year></date>
           <date date-type="accepted"><day>8</day><month>November</month><year>2022</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2022 Lorenzo Cugliari et al.</copyright-statement>
        <copyright-year>2022</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022.html">This article is available from https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022.html</self-uri><self-uri xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022.pdf">The full text article is available as a PDF file from https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e137">The Tsunami Alert Centre of the National Institute of Geophysics and Volcanology (CAT-INGV) has been promoting, since 2018, the study of tsunami risk perception in Italy. Between 2018 and 2021 a semi-structured questionnaire on the perception of tsunami risk was administered to a sample of 5842 citizens residing in 450 Italian coastal municipalities, representative of more than 12 million people. The survey was conducted with
the computer-assisted telephone interviewing (CATI) methodology, described in
Cerase et al. (2019), who published the results of the first pilot survey
(about 1000 interviews). The large sample and the socio-demographic
stratification give an excellent representation of the resident population
in the surveyed Italian coastal municipalities. Moreover, in 2021 an
optimized version of the questionnaire was also administered via Telepanel
(a tool for collecting proportional and representative opinions of citizens) that was representative of the Italian population and included 1500 people distributed throughout the country.</p>

      <p id="d1e140">In this work we present the main results of the three survey phases, with a
comparison among the eight surveyed regions and between the coastal regions and some coastal metropolitan cities involved in the investigations (Rome, Naples, Bari, Reggio Calabria, and Catania).</p>

      <p id="d1e143">Data analysis reveals heterogeneous and generally low tsunami risk
perception. Some seaside populations, in fact, show a good perception of tsunami risk,
while others, such as in Apulia and Molise, reveal a lower perception, most
likely due to the long time elapsed since the last event and lack of
memory. We do not find relevant differences related to the socio-demographic
characteristics (age, gender) of the sample, whereas the education degree
appears to affect people's perception. The survey shows that the
respondents' predominant source of information on tsunamis is the television and other media sources (such as newspapers, books, films, internet), while the official sources (e.g., civil protection, local authorities, universities and research institutes) do not contribute significantly. Also,
we find an interesting difference in people's understanding of the words
tsunami and <italic>maremoto</italic>, the local term commonly used in Italy until the 2004
Sumatra–Andaman event, which should be taken into account in scientific and risk
communication. The Telepanel survey, based on a nationwide sample,
highlights a lower level of tsunami risk perception in comparison to average risk perception levels found in the coastal-municipality sample.</p>

      <p id="d1e149">Our results are being used to drive our communication strategy aimed at
reducing tsunami risk in Italy, to activate dissemination and educational
programs (data driven), to fill the data gap on tsunami risk perception in
the North-Eastern Atlantic, Mediterranean and connected seas (NEAM) area, and to implement multilevel civil protection actions
(national and local, top-down and bottom-up). Not least, outputs can address a better development of the UNESCO Tsunami Ready program in Italy.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e161">The Mediterranean region is highly exposed to tsunami risk, as witnessed by
several recent events (Yalçıner et al., 2017; Cirella et al., 2020; Dogan et al., 2021;
Kalligeris et al., 2022), basin-wide or local historical events (Solov'ev et al., 2000; Mauelshagen, 2007; Maramai et
al., 2014; Papadopoulos et al., 2014; Maramai et al.,
2021), and a recent assessment of seismically induced tsunami hazard
(Sørensen et al., 2012; Basili et al., 2021a). However, the tsunami risk
in the Mediterranean is thought to be underrated, due to the low frequency
of events, as in other regions of the world (Dawson et al., 2004; Dogulu et
al., 2014; UNESCO-IOC, 2017; Amato, 2020; Necmioğlu et al., 2021). It is
therefore important to raise awareness among people, as well as of that local
authorities responsible for civil protection measures and emergency
management and national/regional authorities.</p>
      <p id="d1e164">The Sendai Framework for Disaster Risk Reduction 2015–2030 gives high
attention to early warning systems (EWSs), suggesting to “invest in,
develop, maintain and strengthen people-centered multi-hazard, multisectoral
forecasting and early warning systems …; develop such systems
through a participatory process; [and] tailor them to the needs of users,
including social and cultural requirements, in particular
gender”. The strong emphasis on people means that any
communication strategy should be based on a preliminary assessment of
people's knowledge, awareness, and perception of the risk. Moreover, the
“needs of users” must be studied and understood to reach people and
communities in the right way using the best language and communication
channels and to have an optimal response in the case of an impending
inundation.</p>
      <p id="d1e167">The Italian Tsunami Alert Centre (Centro Allerta Tsunami, CAT) of the
Italian National Institute of Geophysics and Volcanology (INGV) is part of
the national tsunami warning system called SiAM (Italian national warning
system for tsunami of seismic origin), established in 2017 with a prime
minister directive (G.U. n.128 del 05-06-2017). SiAM is coordinated by
the national Civil Protection Department (DPC) and, besides CAT-INGV,
includes the Italian Institute for Environmental Protection and Research
(ISPRA, Istituto Superiore per la Protezione e la Ricerca Ambientale), which
manages the national sea level network and contributes to mapping the
tsunami inundation zones. CAT acts as the tsunami service provider (TSP) for
UNESCO member states of the North-Eastern Atlantic, Mediterranean and connected seas (NEAM) region (Amato et al., 2021), as well as the
national tsunami warning center (NTWC) and tsunami warning focal point (TWFP) for
Italy. Among the tasks of CAT, besides the tsunami surveillance/warning
and the hazard assessment, there are also scientific and risk communications
activities on tsunamis. CAT manages a dedicated website
(<uri>http://www.ingv.it/cat/en/</uri>, last access: 18 July 2022), where people can find information on tsunami hazard/risk, on the warning system, and on historical events, as well as news on projects,
papers, campaigns, and drills.</p>
      <p id="d1e173">From this perspective, the activities of CAT include assessing people's
perception of tsunami risk. This research aims to improve risk analysis and
decision-making, develop methods for eliciting opinions about risk, and provide
a basis for understanding and anticipating possible public reactions to
tsunami hazards, enhancing risk communication among lay people, technical
experts, and policy makers (Slovic et al., 1982; Slovic, 1987; Wildavsky and
Dake, 1990; Slovic, 2001; Rippl, 2002).</p>
      <p id="d1e177">This paper presents data on tsunami risk perception collected in central
and southern Italy between 2018 and 2021. The study involved the
administration of a semi-structured questionnaire to a sample of 5842
people in 450 coastal municipalities.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Studies on tsunami risk perception, a brief overview</title>
      <p id="d1e188">Risk perception studies taking into account socio-cultural and
psychological aspects assess people's response to natural hazards and the
behaviors they would adopt in response to risks. People's perceptions –
individually or collectively – of a natural hazard are also influenced by
individual factors such as personality, age, beliefs, gender, education
level, knowledge, and culture (Slovic et al., 1982; Slovic and Peters, 2006; McIvor et al., 2009; McNeill et al., 2013; Wachinger et al., 2013).</p>
      <p id="d1e191">Human behavior is driven by perceptions (Slovic, 1987) rather than
scientific knowledge about “facts” (Renn, 1990). Therefore, it becomes
strategic for those involved in risk mitigation and communication to have
in-depth studies on the process that influences our ability to assess the
risk of a natural phenomenon (Slovic, 1982) like tsunamis. Tsunamis are
known to be a phenomenon with a low probability of occurrence but high
impact, able to produce devastating consequences that can affect large
areas and have serious consequences for human lives (Behrens et al., 2021;
Rafliana et al., 2022). Their low frequency of occurrence is one of the
variables that directly affects risk perception. In some Mediterranean areas
(such as Italian coastal regions), tsunamis seem to be out of the
collective consciousness, leading authorities to underestimate the significance of tsunami
risk perception among the population and not take effective action to reduce the
risk.</p>
      <p id="d1e194">However, tsunamis' low frequency of occurrence does not reduce their
destructive potential. Moreover, how important it is to study people's
perceptions of natural hazards (Lindell and Perry, 2000; Paton et al., 2010; Wachinger et al., 2013; Bonaiuto et al., 2016), particularly tsunami risk perceptions, has emerged in various
studies conducted in countries that have been affected by tsunamis, such as the 2004 Indian Ocean tsunami or the 2011 Tōhoku, Japan, tsunami (Kurita et al., 2007; Sugimoto et al., 2010; Alam, 2016; Arias et al., 2017; Akbar et
al., 2020).</p>
      <p id="d1e197">A historical catalog of observed tsunami effects in the Mediterranean
(Maramai et al., 2014) cites over 200 documented events for the whole area,
90 % of which were caused by earthquakes. More recently, in the
Euro-Mediterranean area, 31 earthquakes above magnitude 5.5 occurred at sea
or near the coast between 2017 and October 2022, triggering the activation
of CAT. Among them, 10 earthquakes generated an alert level for possible sea
level change, including 6 advisory (possible sea level change with estimated
run-up less than 1 m) and 4 watch (possible sea level change with
estimated run-up values above 1 m) alerts. Two of them caused damage in Greece
and Turkey (Yalçıner et al., 2017; Dogan et al., 2019,
2021; Triantafyllou et al., 2021; Kalligeris et al., 2022).</p>
      <p id="d1e201">In addition, variables to be considered from a comprehensive perspective
include the large growth in population living along the Euro-Mediterranean
coasts. This phenomenon, which has occurred since the Second World War and has
intensified in recent decades, also includes the development of tourist
facilities and large industrial complexes. These intensive forms of
settlements require multi-risk analytical hazard approaches, where the
socio-cultural and psycho-social aspect becomes prominent. In this
framework, strengthening tsunami risk perception studies is needed,
surveying the opinions of employees; daily commuters; seasonal workers; and
tourists, whose presence dramatically increases the risk during holiday
seasons. The need to assess tsunami risk perception has been highlighted by
several authors as a key to improving emergency behaviors and minimizing
population risk by limiting casualties and infrastructure damage (Ho et al.,
2008; Martin et al., 2009; Ritchie and Roser, 2014; EMDAT, 2019).</p>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>CAT-INGV tsunami risk perception studies</title>
      <p id="d1e212">Since 2018 CAT-INGV has been promoting tsunami risk perception studies
to provide oriented support to civil protection activities and develop
data-driven, context-appropriate risk communication strategies. We
adopted CATI (computer-assisted telephone interviewing) questionnaire
structuring and administration methodology since it proved to be an
excellent tool to collect a large, standardized, retraceable, and
cost-effective number of data (Dawson et al., 2004; Cerase et al., 2019).
Furthermore, the questionnaire as a survey method to study tsunami risk
perception is widely used in the international context (see for example
Apatu et al., 2016; Sun et al., 2013; Lindell et al., 2015, 2016; Jon et al., 2016; Fraser et al.,
2016; Wei et al., 2017; Buylova et al., 2020).</p>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>The tsunami risk perception questionnaire</title>
      <p id="d1e222">In this study we have used the questionnaire designed and described in
Cerase et al. (2019; available in the English version in the paper's supplementary materials),
consisting of 6 sections and 27 items that allow us to detect respondents'
opinions regarding tsunami knowledge, risk perception, representation, and
cultural attitudes toward risks (Douglas and Wildavsky, 1982) and through
which channels respondents have been informed about tsunamis and would like
to receive an alert in the case of a tsunami.</p>
      <p id="d1e225">This questionnaire, implemented and administered in 2018, was subsequently
adopted in two other surveys carried out in 2020 and in 2021, extending the
coverage to six more Italian regions and achieving a better statistical
representativeness.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Study area and sample characteristics</title>
      <p id="d1e236">The coastal belts are among the most densely populated territories of the
Mediterranean, where several large urban centers and some industrial
activities have developed. In 2012, 40.8 % of the European Union (EU) population (about 200 million) lived in coastal regions, which comprised about 40.0 % of the EU 27 territorial extension, with an average population density of 100 inhabitants km<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Collet and Engelbert, 2013). Moreover, in
2018, 28 % of the Italian population (more than 17 million inhabitants)
resided in coastal municipalities (ISTAT, 2020a; ISTAT is the Italian National Institute of Statistics). Between 1951 and 2011, the
increase in coastal population was about 29 %. The eight regions surveyed
together represent about 78 % of the national coastline. Coastal areas are also among the most densely populated with an average of 398 inhabitants km<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> – with peaks of more than 500 inhabitants km<inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the metropolitan areas of
Genoa, Rome, Naples, Palermo, Catania, and Bari – compared to an average of
167 inhabitants km<inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in non-coastal
areas (ISTAT, 2020b).</p>
      <p id="d1e287">Our survey was carried out in three different phases. The first survey was
carried out in 2018 (4 April to 4 May) and covered the Apulia and Calabria
regions where 1021 questionnaires were collected (Cerase et al., 2019). In
the second survey phase, carried out between 27 December 2019 and 8 January 2020, 614 questionnaires were collected in the coastal municipalities of Molise, Basilicata, and eastern Sicily. In the third survey phase, completed in 2021 (between 21 December 2020 and 8 January 2021), 4207 questionnaires were collected in the coastal municipalities of Latium, Campania, Sardinia, and
southern and northern Sicily. At this stage, research only considers
permanent residents in coastal municipalities: therefore, seasonality is not
deemed to affect the results.</p>
      <p id="d1e290">The 2021 administration included all the coastal metropolitan cities of
central and southern Italy (ISTAT, 2020b). This is relevant for civil
protection because Naples, Rome, Palermo, Messina, and Catania are some of the
most densely populated Mediterranean coastal cities (UNESCO-IOC, 2020;
Collet and Engelbert, 2013). Adding to these cities also Bari, Reggio Calabria, and
Cagliari, also sampled in 2018 and 2021, we represent about 6 million
coastal inhabitants.</p>
      <p id="d1e293">All these regions were chosen because southern Italy, particularly the
Ionian side, has the highest tsunami hazard (Basili et al., 2019, 2021) compared to other Italian regions (Liguria, Marche, Abruzzo,
Veneto, etc.). We are planning to complete, in the next 1 to 2 years,
the questionnaire administration along the coastal areas of the remaining
regions in order to have a comprehensive view of the Italian coastal
territory on tsunami risk perception.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e300">Sample distribution in the three survey stages.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.91}[.91]?><oasis:tgroup cols="11">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right" colsep="1"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right" colsep="1"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:colspec colnum="10" colname="col10" align="right"/>
     <oasis:colspec colnum="11" colname="col11" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry rowsep="1" namest="col2" nameend="col3" align="center" colsep="1">First stage </oasis:entry>
         <oasis:entry rowsep="1" namest="col4" nameend="col6" align="center" colsep="1">Second stage </oasis:entry>
         <oasis:entry rowsep="1" namest="col7" nameend="col10" align="center">Third stage </oasis:entry>
         <oasis:entry colname="col11"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Apulia</oasis:entry>
         <oasis:entry colname="col3">Calabria</oasis:entry>
         <oasis:entry colname="col4">Molise</oasis:entry>
         <oasis:entry colname="col5">Basilicata</oasis:entry>
         <oasis:entry colname="col6">Eastern</oasis:entry>
         <oasis:entry colname="col7">Latium</oasis:entry>
         <oasis:entry colname="col8">Campania</oasis:entry>
         <oasis:entry colname="col9">Sicily</oasis:entry>
         <oasis:entry colname="col10">Sardinia</oasis:entry>
         <oasis:entry colname="col11">Total</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6">Sicily</oasis:entry>
         <oasis:entry colname="col7"/>
         <oasis:entry colname="col8"/>
         <oasis:entry colname="col9">(except</oasis:entry>
         <oasis:entry colname="col10"/>
         <oasis:entry colname="col11"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7"/>
         <oasis:entry colname="col8"/>
         <oasis:entry colname="col9">eastern)</oasis:entry>
         <oasis:entry colname="col10"/>
         <oasis:entry colname="col11"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Total residents</oasis:entry>
         <oasis:entry colname="col2">1 716 797</oasis:entry>
         <oasis:entry colname="col3">1 120 698</oasis:entry>
         <oasis:entry colname="col4">43 800</oasis:entry>
         <oasis:entry colname="col5">58 385</oasis:entry>
         <oasis:entry colname="col6">834 881</oasis:entry>
         <oasis:entry colname="col7">3 786 704</oasis:entry>
         <oasis:entry colname="col8">1 925 984</oasis:entry>
         <oasis:entry colname="col9">2 137 306</oasis:entry>
         <oasis:entry colname="col10">859 721</oasis:entry>
         <oasis:entry colname="col11">12 484 236</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Coastal municipalities</oasis:entry>
         <oasis:entry colname="col2">67</oasis:entry>
         <oasis:entry colname="col3">116</oasis:entry>
         <oasis:entry colname="col4">4</oasis:entry>
         <oasis:entry colname="col5">7</oasis:entry>
         <oasis:entry colname="col6">29</oasis:entry>
         <oasis:entry colname="col7">20</oasis:entry>
         <oasis:entry colname="col8">40</oasis:entry>
         <oasis:entry colname="col9">96</oasis:entry>
         <oasis:entry colname="col10">71</oasis:entry>
         <oasis:entry colname="col11">450</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry rowsep="1" colname="col1">No. respondents</oasis:entry>
         <oasis:entry rowsep="1" colname="col2">722</oasis:entry>
         <oasis:entry rowsep="1" colname="col3">491</oasis:entry>
         <oasis:entry rowsep="1" colname="col4">100</oasis:entry>
         <oasis:entry rowsep="1" colname="col5">140</oasis:entry>
         <oasis:entry rowsep="1" colname="col6">374</oasis:entry>
         <oasis:entry rowsep="1" colname="col7">1034</oasis:entry>
         <oasis:entry rowsep="1" colname="col8">1170</oasis:entry>
         <oasis:entry rowsep="1" colname="col9">1221</oasis:entry>
         <oasis:entry rowsep="1" colname="col10">782</oasis:entry>
         <oasis:entry colname="col11">5842</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Total</oasis:entry>
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">1021 respondents </oasis:entry>
         <oasis:entry namest="col4" nameend="col6" align="center" colsep="1">614 respondents </oasis:entry>
         <oasis:entry namest="col7" nameend="col10" align="center">4207 respondents </oasis:entry>
         <oasis:entry colname="col11"/>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?>

  <?xmltex \begin{scaleboxenv}{.91}[.91]?><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col5">2018, 2020, 2021 – territorial distribution </oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Regions</oasis:entry>
         <oasis:entry colname="col2">No. of provinces</oasis:entry>
         <oasis:entry colname="col3">Coastal municipalities</oasis:entry>
         <oasis:entry colname="col4">Respondents</oasis:entry>
         <oasis:entry colname="col5">Kilometers of coast surveyed</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">8</oasis:entry>
         <oasis:entry colname="col2">37</oasis:entry>
         <oasis:entry colname="col3">69.8 % (<inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:mn mathvariant="normal">450</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">645</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col4">5842 (12 484 236 pop tot)</oasis:entry>
         <oasis:entry colname="col5">77.9 % (6166 km)</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

      <p id="d1e648">Table 1 shows the numerical distribution of the sample by survey stage and
region. The survey covered a total of 8 regions with 37 provinces, achieving
69.8 % coverage of coastal municipalities for a total of 6166 km of
coasts surveyed and 5842 interviews conducted, which are considered
representative of 12 484 236 residents (ISTAT, 2021).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e653">Maps of the CATI interview distribution (left) and coastal
metropolitan cities (right). The differently colored circles, on the left map,
indicate the interview distribution in the different survey phases: blue
shows the interviews in the first survey phase (2018); red shows the second
survey phase (2020); orange shows the distribution of interviews in the
third survey phase (2021). Yellow stars, on the right map, indicate
metropolitan cities (provincial capitals) where population density is high
for a wide territorial area. Map data modified from © Google
Maps 2022.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022-f01.png"/>

        </fig>

      <p id="d1e662">Figure 1 shows the geographical distribution of interviews by stage and by
regions.</p>
      <p id="d1e665">The sampling design was structured respecting robust statistical standards
with attention to the population representativeness of even smaller coastal
municipalities.</p>
      <p id="d1e669">The survey sample is stratified by quota (not a probability sample). The
stratification is made by territory (municipalities of coastal regions), and
the quotas are identified by age and gender. In order to have a more
statistically robust sample, education degree was considered a quota for
the third survey stage (<inline-formula><mml:math id="M6" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M7" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 4207). The sample size reflects a choice to
ensure 95 % reliability of the estimates considering each quota as a simple
random sample. Thus, the overall sample design ensuring the estimates'
reliability and control for sampling error variability is guaranteed.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><?xmltex \opttitle{Sample validation for the three survey phases (Cronbach's alpha and $t$~test), statistical data processing}?><title>Sample validation for the three survey phases (Cronbach's alpha and <inline-formula><mml:math id="M8" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test), statistical data processing</title>
      <p id="d1e702">Since the three surveys were carried out in different years, great
methodological accuracy and some preliminary statistical operations to
validate and verify the data were required.</p>
      <p id="d1e705">First, we verified that the samples were statistically uniform, independent,
and representative in estimating the reference population mean. Further, we
checked whether the datasets could be aggregated into a single matrix to
produce robust outputs and correlations. For this, we used the <inline-formula><mml:math id="M9" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test (or
Student's test) (Student, 1908). In our case, we applied the <inline-formula><mml:math id="M10" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test to
questionnaire item nos. 8, 12, 14, 16, and 20, which are multiple-choice
questions, and to nos. 21, 23, and 24, which are Likert-scale question batteries,
between the first and the second surveys (2018–2020) and between the first
and third surveys (2018–2021), respectively. The results of the <inline-formula><mml:math id="M11" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test with a
confidence interval of 95 % confirm that the samples are statistically
uniform; comparable; and, consequently, analyzable in a single data matrix.
The same test has been used in similar research on tsunami risk perception
to compare averages of surveyed groups (see, e.g., Akbar et al., 2020; Buylova et al.,
2020; Musacchio et al., 2021; Liu et al., 2021).</p>
      <p id="d1e729">Once we had obtained the <inline-formula><mml:math id="M12" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula>-test confirmations, we verified that the collected data
were consistent and significant as a part of a robust sample. We calculated
Cronbach's alpha (Cronbach, 1951, 1988) on the items comprising
questionnaire section numbers 2, 3, 4, 5, and 6. The resulting alpha values
in the range 0.61 <inline-formula><mml:math id="M13" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M14" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M15" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 0.83 are generally considered optimal to corroborate the variable reliability (Nunnally, 1975). Particularly, values near <inline-formula><mml:math id="M16" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M17" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.80 or greater have an optimal consistency degree (Peterson, 2014). The alpha values resulting from our comparisons were in the range 0.74 <inline-formula><mml:math id="M18" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M19" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M20" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 0.89, therefore suggesting the statistical uniformity of the whole sample.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <label>3.4</label><title>The national sample</title>
      <p id="d1e805">In 2021 we administered a questionnaire to a representative sample of the
whole Italian population distributed by proportional shares.</p>
      <p id="d1e808">This has been done through a digital platform that reaches users – who are
registered with the proprietary company – through a link on their
smartphones (named Telepanel by the company). The link allows access to the
online, re-adapted questionnaire that users independently complete. Survey
respondents are subscribed to the service and are paid by the commissioning
company. The company (CSA Research, a specialized market research and
opinion survey company), as owner of the sample, takes care that it respects
scientific criteria and that the sample reproduces the same compositions of
the population strata. The sample is generally used to survey
shared-interest opinions, political polls, national trends, and customs.</p>
      <p id="d1e811">Proportional shares are respected, and the sample is stratified according to
the following variables: age, gender, geographic area, educational degree,
and profession.</p>
      <p id="d1e814">The national sample questionnaire surveyed the opinions of 1500 respondents
and was administered in the same period of the 2021 CATI survey.</p>
      <p id="d1e818">The national sample is built under different criteria due to the different
nature of interviewee selection, and it is used only as a term of
comparison (see Sect. 4.1.3).</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results and discussion</title>
      <p id="d1e830">The principal results of the three surveys are presented in two subsections:
“Tsunami risk perception” and “Tsunami knowledge”.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e835">Map data modified from © Google Maps 2022. Map of
surveyed Italian coasts and corresponding seas.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022-f02.png"/>

      </fig>

      <p id="d1e844">The map in Fig. 2 shows the geographical positions of the coastal
areas where the survey was conducted (by region) and the seas surrounding
Italy.</p>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Tsunami risk perception</title>
      <p id="d1e855">Risk perception is preliminarily calculated considering the items Q13, “In the Mediterranean Sea the occurrence of a tsunami is …?”,
and Q16, “Do you think that the coast of your municipality could be hit by a tsunami?”</p>
      <p id="d1e858">Survey data show that tsunami risk perception differs in relation to the
seaside.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e863">Q13 – tsunami risk perception in the Mediterranean sea by
coastal regions.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022-f03.png"/>

        </fig>

      <p id="d1e873">Figure 3 shows tsunami risk perception for events in the Mediterranean
divided by respondents' coastal seaside location.</p>
      <p id="d1e876"><?xmltex \hack{\newpage}?>In general, around 40 % of the interviewees believe that a tsunami is
likely to occur in the Mediterranean, except for the Adriatic Sea where the
percentage is around 30 %. Even more evident is the difference between
Adriatic and other seas if we look at the respondents to the “unlikeness”
of such an event: more than 60 % in the Adriatic vs. <inline-formula><mml:math id="M21" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 %
of the Tyrrhenian Sea, Strait of Sicily, Sea of Sardinian, and Sardinian Channel. Midway we find
the Ionian Sea (43 %), probably due to a mix between regions with memory
of the 1908 event (Calabria and eastern Sicily) and the Adriatic coasts of
Apulia, where most recent tsunamis date back to the 18th century
(Cerase et al., 2019).</p>
      <p id="d1e887">If we look to the response values of “neither likely nor unlikely” we
found high percentages of around 40 % for all coasts except Ionian
(12 %) and Adriatic (9 %). These high percentages are probably also
associated with low tsunami knowledge, especially if contextualized with regards to the
Mediterranean Sea by the population.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e892">Q16 – tsunami risk perception in respondents' municipalities by
sea areas.</p></caption>
          <?xmltex \igopts{width=384.112205pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022-f04.png"/>

        </fig>

      <p id="d1e901">Figure 4 shows the distribution of answers to the specific question about
the likelihood of a tsunami hitting the respondents' municipalities. The
samples from the Ionian and Tyrrhenian sides seem to have a higher tsunami
risk perception (49.6 % and 45.2 %, respectively). Differently, in the Adriatic coast municipalities, respondents have a lower perception of
tsunami risk, as with the previous question (Fig. 3). In fact, only 33 %
of them believe that their municipality may be affected by a tsunami, and
56.5 % believe it will not.</p>
      <p id="d1e905">In the three-stage survey sample (<inline-formula><mml:math id="M22" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M23" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 5842), no significant variations
are observed for the tsunami risk perception in relation to the gender of
the respondents.</p>
      <p id="d1e922">More significant differences emerge in relation to educational degrees. The
sample with a low educational degree showed more uncertainty in responses
associated with the “I don't know” modality (23.4 % and 23.1 %, respectively, versus
11.2 % of those with high educational degrees and 15 % of those with
medium educational degrees); a higher educational degree is correlated with
a significantly higher tsunami risk perception, 48.2 % compared to
37.9 % for those with a lower educational degree.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e927">Q16 – tsunami risk perception in municipalities according to the
numbers of generations of residence in the area.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022-f05.png"/>

        </fig>

      <p id="d1e936">The graph in Fig. 5 – reporting the tsunami risk perception in
municipalities according to the numbers of generations of residence in the
area – shows an interesting finding. In fact, risk perception is highest at
51.4 % for the third generation (“my grandparents lived there”), whereas the average response rate for other generations is about 40 %. These findings are consistent with recent
studies based on an interdisciplinary historical–anthropological approach
(e.g., Garnier and Lahournat, 2022). Indeed, these studies highlight the
role of memory transmission of past disasters and more generally cultural
memory as an effective tool for disaster risk reduction (DRR; Brokensha et al., 1980; Fernando,
2003; Gregg et al., 2006; Cohen, 2011; Sutton et al., 2021).</p>
<sec id="Ch1.S4.SS1.SSS1">
  <label>4.1.1</label><title>Tsunami risk perception in surveyed regions</title>
      <p id="d1e946">This subsection builds on the results of the paper by Cerase et al. (2019),
where a significant difference in tsunami risk perception between Apulia and
Calabria was found, despite the comparable, high tsunami hazard of the two
regions (Basili et al., 2021). In the first region only 30 % of
respondents think their region could be hit by a tsunami and 57.5 % think
it could not, whereas the results for Calabria are very different, with more
than 66 % yes and 25 % no (Fig. 6).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e951">Q16 – tsunami risk perception in respondent's municipalities
according to the regions.</p></caption>
            <?xmltex \igopts{width=384.112205pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022-f06.png"/>

          </fig>

      <p id="d1e960">In order to verify the perception of other regions' inhabitants, we have
compared the answers to the same question (Q16) related to the regions
investigated in the second and third survey phases.</p>
      <p id="d1e964">The graph below (Fig. 6) shows the percentages of responses collected for
Q16 for all the regions. The results show a strong heterogeneity
among different regions, with the aforementioned Calabria and Apulia as
end-members of risk perception. Molise, adjacent to Apulia in the Adriatic
Sea, is on the low-perception side with slightly higher values than the
latter (40 % yes, 53 % no). Basilicata, with a few municipalities on both the Ionian and the Tyrrhenian coasts, has a slightly higher
perception, with 44 % yes and 48 % no. Moving to the central Tyrrhenian Sea, Latium and Sardinia show equal distributions of yes and no with a large number of “I don't know” (40 %, 40 %, and 20 %, respectively). Historical catalogs do not report relevant tsunamis for these two regions. Southern Tyrrhenian regions (Campania and Sicily) exhibit higher risk perception (48 % and 46 % yes, 36 % and 33 % no, respectively), even though it is not as high as that of Calabria. This
can be explained by the presence of known tsunamis (such as the 1908 event) or
known potential tsunami sources, such as active volcanoes of the Neapolitan area
and in the southern Tyrrhenian area).</p>
      <p id="d1e967">These results are consistent with a similar study by Gravina et al. (2019). In that case, inhabitants from southern Italian regions facing the Tyrrhenian Sea were asked, “Do you consider [yourself] to be actively exposed to a tsunami risk?”. Among interviewees, 21 % answered
“highly”, more than 42 % “quite”, and over 30 % “low”. Nonresponses were 9 %.</p>
      <p id="d1e970">In addition, these regions, including Calabria, are highly seismically
active, and people experienced frequent and even strong earthquakes. The
traces of these events, present in the territory, are likely to increase people's memory of them from generation to generation.</p>
</sec>
<sec id="Ch1.S4.SS1.SSS2">
  <label>4.1.2</label><title>Tsunami risk perception in metropolitan areas and seaside areas</title>
      <p id="d1e982">We started from the research hypothesis that the perception of tsunami risk
could be different between the inhabitants of metropolitan cities and those
residing in the municipalities of the respective coast. In our opinion, this
comparison is particularly relevant for metropolitan cities in which the
exposed value (in terms of human lives, industries, and infrastructures) is
considerably higher than the adjacent, less populated coasts.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e988">Sample size data by metropolitan area and seaside area (source – ISTAT,
2022; database accessed in August 2022).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:colspec colnum="6" colname="col6" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Region</oasis:entry>
         <oasis:entry colname="col2">Latium</oasis:entry>
         <oasis:entry colname="col3">Campania</oasis:entry>
         <oasis:entry colname="col4">Apulia</oasis:entry>
         <oasis:entry colname="col5">Calabria</oasis:entry>
         <oasis:entry colname="col6">Sicily</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Metropolitan coastal city</oasis:entry>
         <oasis:entry colname="col2">Rome</oasis:entry>
         <oasis:entry colname="col3">Naples</oasis:entry>
         <oasis:entry colname="col4">Bari</oasis:entry>
         <oasis:entry colname="col5">Reggio Calabria</oasis:entry>
         <oasis:entry colname="col6">Catania</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Sub-demographic areas</oasis:entry>
         <oasis:entry colname="col2">6</oasis:entry>
         <oasis:entry colname="col3">5</oasis:entry>
         <oasis:entry colname="col4">2</oasis:entry>
         <oasis:entry colname="col5">5</oasis:entry>
         <oasis:entry colname="col6">2</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Total municipalities</oasis:entry>
         <oasis:entry colname="col2">121</oasis:entry>
         <oasis:entry colname="col3">92</oasis:entry>
         <oasis:entry colname="col4">41</oasis:entry>
         <oasis:entry colname="col5">97</oasis:entry>
         <oasis:entry colname="col6">58</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Total residents</oasis:entry>
         <oasis:entry colname="col2">4 342 000</oasis:entry>
         <oasis:entry colname="col3">4 250 000</oasis:entry>
         <oasis:entry colname="col4">1 261 000</oasis:entry>
         <oasis:entry colname="col5">549 000</oasis:entry>
         <oasis:entry colname="col6">1 068 000</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Metropolitan city respondents</oasis:entry>
         <oasis:entry colname="col2">824</oasis:entry>
         <oasis:entry colname="col3">938</oasis:entry>
         <oasis:entry colname="col4">169</oasis:entry>
         <oasis:entry colname="col5">134</oasis:entry>
         <oasis:entry colname="col6">155</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Seaside respondents</oasis:entry>
         <oasis:entry colname="col2">3201</oasis:entry>
         <oasis:entry colname="col3">3201</oasis:entry>
         <oasis:entry colname="col4">549</oasis:entry>
         <oasis:entry colname="col5">910 (Ionian)</oasis:entry>
         <oasis:entry colname="col6">910</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">3201 (Tyrrhenian)</oasis:entry>
         <oasis:entry colname="col6"/>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1187">The following graphs (Figs. 7–11) show the risk perception surveyed in
coastal metropolitan cities (Rome, Naples, Bari, Reggio Calabria, and
Catania) in relation to the risk perception of the seaside area where the city
lies (Table 2).</p>
      <p id="d1e1191">To prevent statistical bias, the data for each individual metropolitan city
were removed from the coastal data on which the city is located. We also
carried out the <inline-formula><mml:math id="M24" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test for independent samples from which a significant
difference between the averages of the two samples (metropolitan cities and
coastal area) was found. We used the test to indicate the sample
statistical uniformity and comparability.</p>
      <p id="d1e1201">The graph in Fig. 7 shows the comparison between the sample of the
Metropolitan city of Rome and the relative Tyrrhenian coastal area. In the
case of the metropolitan city of Rome it is important to remember that Rome
(2.7 million inhabitants) cannot be considered entirely a coastal city, even
if some densely populated districts (like Ostia, with its 231 000
inhabitants) are entirely located on the seaside.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e1206">Tsunami risk perception: comparison between the Tyrrhenian coastal
area and the metropolitan city of Rome. (Q16 – Do you think that the coast
of your municipality could be hit by a tsunami?)</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022-f07.png"/>

          </fig>

      <p id="d1e1215">This is probably the reason why the average of the tsunami risk perception
in Rome (Fig. 7) seems to be lower than for the Tyrrhenian area. Indeed, only
36.3 % of the respondents believe that a tsunami may hit their
municipality, versus the 48.2 % of respondents living on the Tyrrhenian
seaside.</p>
      <p id="d1e1218">Tsunami risk perception in the metropolitan city of Naples (Fig. 8) is almost
the same as the average surveyed on the Tyrrhenian side. Among respondents, 47.2 % said that a tsunami could hit the coasts of their municipality
compared to the Tyrrhenian area average, which – excluding the metropolitan
city of Naples – has a value of 44.9 %. In this town 31.8 % of
respondents believe that a tsunami is unlikely to hit their municipality's
coast, and 21 % say they do not know the answer.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e1224">Tsunami risk perception (Q16): comparison between the Tyrrhenian
coastal area and the metropolitan city of Naples.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022-f08.png"/>

          </fig>

      <p id="d1e1233">These data are consistent with the seaside average, and they diverge from the
starting hypothesis.</p>
      <p id="d1e1236">These data could be related to multi-hazard variables that lead the
municipalities' residents to express a greater risk perception due to the
presence of the Vesuvius volcano, the seismic memory of the 1980 Irpinia
earthquake, and the frequent bradyseism and micro-earthquakes that occur in
the Neapolitan area (i.e., in the Phlegraean Fields). Traces of these events
are also found in the literature, such as the case of the tsunami in 1345 CE, documented by the famous Italian writer Francesco Petrarca in his
<italic>Letters on Familiar Matters</italic> (Petrarca, 2005) and recently described in Rosi et al. (2019).</p>
      <p id="d1e1242">Moreover, the city of Naples and the coastal municipalities of its
hinterland have high exposure due to civil settlements and industrial
complexes including some major-accident-hazard industries (Tinti and
Armigliato, 2003; DePippo et al., 2008; Grezio et al., 2012) that are
located on the coast. Last but not least, the metropolitan city of Naples
has one of the highest coastal population densities in Europe, with
concentrations ranging between 500 and 2500 inhabitants km<inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (ISTAT, 2020b).</p>
      <p id="d1e1257">The average risk perception for the metropolitan city of Bari is low (Fig. 9), in line with the Adriatic coast. In fact, we observe that only 34.3 % of respondents believe that a tsunami could hit their municipality, versus 32.4 % of those residing in municipalities on the Adriatic coast. We also observe that 54.4 % of respondents say a tsunami could not hit their coastal municipality, compared to 57.4 % for the average of those living in
coastal municipalities in the same seaside area.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><?xmltex \currentcnt{9}?><?xmltex \def\figurename{Figure}?><label>Figure 9</label><caption><p id="d1e1263">Tsunami risk perception (Q16): comparison between the Adriatic
coastal area and the metropolitan city of Bari.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022-f09.png"/>

          </fig>

      <p id="d1e1272">The perception results appear to be low compared with the estimated hazard
for the southern Adriatic coast and Bari metropolitan city, which is
medium–high (Basili et al., 2021). The estimated hazard takes into account
the strong earthquakes occurring along the Hellenic arc, able to generate
tsunamis that would hit the Adriatic coasts including Bari. The low tsunami
risk perception may also be influenced by the absence of recent tsunami
events (Maramai et al., 2019) as already noted in Cerase et al. (2019).</p>
      <p id="d1e1275">The tsunami risk perception in the metropolitan city of Reggio Calabria is
on average high (Fig. 10). The graph shows that 70.9 % of respondents
believe that the city may be hit by a tsunami compared to the average of
46.5 % of respondents living in the Ionian sides' remaining municipalities
and 45 % of those living in the Tyrrhenian sides' municipalities.
Furthermore, data analysis shows that only 8.9 % of respondents answered
“I don't know” to the specific question. This percentage could indicate that residents
of the metropolitan city of Reggio Calabria have a greater tsunami risk
knowledge of their area, compared to the other metropolitan cities
considered in the analysis. The high tsunami risk perception is likely
related to the 1908 tsunami, which had a strong impact on the territory,
causing widespread damage and about 2000 casualties (attributed to the
tsunami), and still holds a high media echo today and is still in residents'
memories. The same regions were also struck by a tsunami in 1783 that,
according to historical sources, caused about 1500 casualties (in addition
to the over 25 000 caused by the earthquake) (Sarconi, 1784; Vivenzio, 1788; Boschi et al., 2000) and in 1905 when sea level changes were also recorded by tide gauges in Naples and Civitavecchia (about 500 km away).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><?xmltex \currentcnt{10}?><?xmltex \def\figurename{Figure}?><label>Figure 10</label><caption><p id="d1e1280">Tsunami risk perception (Q16): comparison between the Tyrrhenian
and Ionian coastal area and the metropolitan city of Reggio Calabria.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022-f10.png"/>

          </fig>

      <p id="d1e1289">In addition, Reggio Calabria residents' tsunami risk perception is in line
with the high tsunami hazard estimated for the area (Basili et al., 2021).</p>
      <p id="d1e1293">The tsunami risk perception in the metropolitan city of Catania (Fig. 11) is
slightly higher (49.7 %) than the risk perception of respondents of the
Ionian coastal area (45.8 %). Only 11.6 % of the respondents answered
“I don't know”, in line with the responses from the other coastal-area municipalities.
The percentage of tsunami risk perception in Catania is probably associated
with the presence of easily recognized hazards (e.g., volcanic risk and ash
management due to the close Etna volcano, frequent earthquake shaking). In addition, industrial complexes and refineries along the coast
increase the exposed value and possibly the risk perception. Not least, the
tsunami hazard (Basili et al., 2021) in the Catania area is quite high, due
to both local and distant tsunamis.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11"><?xmltex \currentcnt{11}?><?xmltex \def\figurename{Figure}?><label>Figure 11</label><caption><p id="d1e1298">Tsunami risk perception (Q16): comparison between the Ionian
coastal area and the metropolitan city of Catania.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022-f11.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12" specific-use="star"><?xmltex \currentcnt{12}?><?xmltex \def\figurename{Figure}?><label>Figure 12</label><caption><p id="d1e1309">Tsunami risk perception (Q16): comparison between the
metropolitan cities (“yes” answer percentages).</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022-f12.png"/>

          </fig>

      <p id="d1e1318">Comparison among metropolitan cities (Fig. 12) shows a higher tsunami risk
perception in Reggio Calabria, Catania, and Naples. These cities, throughout
history, have been repeatedly affected by disruptive natural events
including strong earthquakes, volcanic eruptions, and tsunamis. The
difference in risk perception between metropolitan areas and coastal areas
remains the subject of further study. The metropolitan city of Bari has a low
tsunami risk perception even though it is located on a stretch of coastline
where tsunami hazard is considered medium–high. This could be associated
with events that occurred in the distant past and the low frequency of
earthquake occurrence.</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S4.SS1.SSS3">
  <label>4.1.3</label><title>Tsunami risk perception: comparison with a national sample</title>
      <p id="d1e1330">In this section, we compare the tsunami risk perception for events in the
Mediterranean area (surveyed in Q13) among the whole coastal
population described above, and a national population sample (national
sample survey <inline-formula><mml:math id="M26" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M27" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 1500). From the graph (Fig. 13), it can be seen that
risk perception is higher in coastal communities (39.4 %, CATI survey) and lower for the national average (19.2 %, national sample survey). Minor
variations can be observed in the other response modes. A difference of
13 % also emerges in the central mode “neither likely nor unlikely” from which low tsunami knowledge is assumed.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F13" specific-use="star"><?xmltex \currentcnt{13}?><?xmltex \def\figurename{Figure}?><label>Figure 13</label><caption><p id="d1e1349">Tsunami risk perception in Mediterranean Sea by the national sample
and CATI surveys, a comparison.</p></caption>
            <?xmltex \igopts{width=469.470472pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022-f13.png"/>

          </fig>

      <p id="d1e1358">The national sample survey also becomes of primary relevance to investigate
the risk perception of the population not living in coastal areas who might
face this risk in a summer vacation context even in non-national
territories. Moreover, these data can be considered representative of the
national mean related to the tsunami risk perception and may be used for
comparison with data related to the same specific groups of population
living on the coasts.</p>
      <p id="d1e1362">This result is not surprising, considering the lower familiarity of
non-coastal inhabitants with sea activities – and hazards – compared to
coastal-city residents. Also, we should consider that the tsunami risk for
people spending for instance a 2-week vacation in a seaside location is
statistically much lower compared to the risk to which a coastal resident is
exposed. We anticipate that this result strongly suggests the need for a
communication effort specifically oriented to tourists.</p><?xmltex \hack{\newpage}?>
</sec>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Tsunami knowledge</title>
<sec id="Ch1.S4.SS2.SSS1">
  <label>4.2.1</label><?xmltex \opttitle{Phenomenon description: elicitation of the terms tsunami and \textit{maremoto}}?><title>Phenomenon description: elicitation of the terms tsunami and <italic>maremoto</italic></title>
      <p id="d1e1385">In order to explore people's understanding of tsunamis, we considered qualitative
attributes to be relevant indicators of the phenomena of mental representation and
related effects. The first step aims to explore the differences between the
Japanese word “tsunami” (literally harbor wave), broadly used in the international scientific community, and the word “<italic>maremoto</italic>” (literally seaquake),
which is a common alternative in colloquial Italian language. The overall
results of this research confirm the different meanings attributed to these
two terms by respondents.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F14" specific-use="star"><?xmltex \currentcnt{14}?><?xmltex \def\figurename{Figure}?><label>Figure 14</label><caption><p id="d1e1393">Tsunami and <italic>maremoto</italic> attribute comparison.</p></caption>
            <?xmltex \igopts{width=355.659449pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/22/4119/2022/nhess-22-4119-2022-f14.png"/>

          </fig>

      <p id="d1e1405">Figure 14 shows that the largest part of the sample shows greater
familiarity with the term tsunami (57 %), while <italic>maremoto</italic> drops by
several percentage points (43 %). The word tsunami seems to sound more familiar for those who have higher education levels (66 %) and are below 65 years old. Some interesting differences regarding the usefulness of the two terms are related to local characteristics and will be further
investigated. For example, in the metropolitan city of Reggio Calabria interviewees
generally use the term <italic>maremoto</italic> to identify the phenomenon (57 %), whereas
in Naples the term tsunami is more familiar (63 %).</p>
      <p id="d1e1415">We could hypothesize that past events differently shape the way the
phenomenon is acknowledged and understood, as culture provides different
resources to address these events, where traditional environmental knowledge
plays a prominent role along with scientific communication. These aspects
are reflected in social representations (Moscovici, 1961) as well as in
language being used to express such representations (Moscovici, 1976).</p>
      <p id="d1e1418">Data in Fig. 14 show that the word tsunami is mostly associated with
“big wave” (56 %), “earthquake” (54 %), and “sea storm” (34 %) and in a more detached position
“inundation” (26 %), “flooding” (16 %), and “sea withdrawal” (13 %). Instead, the word <italic>maremoto</italic> is first
associated with “earthquake” (57 %) and then with “sea storm” (40 %) and “big wave” (37 %). The terms “inundation” (23 %) and “flooding” (18 %) are still present along with “rough sea” (17 %).</p>
</sec>
<sec id="Ch1.S4.SS2.SSS2">
  <label>4.2.2</label><title>Knowledge about causes of tsunamis</title>
      <p id="d1e1432">With regard to the alleged causes of tsunamis, they are generally attributed
correctly to earthquakes, 74 % as the main cause, and then to volcanic
eruptions (44 %), in agreement with the most frequent tsunami causes
worldwide (NCEI/WDS, 2017); in the Mediterranean (Maramai et al., 2014); and
in Italy, where 68 % of observed or recorded tsunamis were caused by
earthquakes and about 16 % by volcanoes (Vesuvius and volcanoes of the
Aeolian Islands) (Maramai et al., 2021).</p>
      <p id="d1e1435"><?xmltex \hack{\newpage}?>In general, it is observed that tsunami knowledge is not directly related to gender and interviewee distribution but directly increases with
educational degree and decreases with age (young, highly educated people
under 50 years old are best informed).</p>
      <p id="d1e1439">Tsunamis are also associated by respondents with meteorological phenomena.
In general terms this is somehow overestimated, but we know that
meteotsunamis are rather frequent in the Mediterranean, especially in the
Adriatic Sea (Šepić et al., 2009; Vilibić and Šepić, 2009; Maramai
et al., 2022). However, it is possible that people confuse sea storms with
(meteo)tsunamis. To verify this, we carried out a bivariate analysis that
can provide some clues regarding this belief. Indeed, data highlight higher
percentages for those who live in municipalities overlooking the Sea of
Sardinia and the Sardinian Channel, both frequently swept by
strong mistral winds, which can locally cause sea storms with waves several meters high.</p>
      <p id="d1e1442">We also note that weather conditions are most frequently mentioned by people
with low education levels (22 %) versus 15 % of the sample with a high
educational level.</p>
      <p id="d1e1446">Furthermore, landslides are properly indicated as possibly causing tsunamis
by 14.8 % of respondents, as well as meteorites and space objects. A
similar question, about tsunami risk perception induced by rock landslides,
was asked in a survey conducted in Norway during the ASTARTE project by
Goeldner-Gianella et al. (2017). In Norway, respondents correctly show high tsunami
risk perception induced by rock landslides. This result is mainly due to the
frequency of rock collapses occurring locally and to citizens' trust in
local institutions for how tsunami risk is managed and how information is
disseminated (Goeldner-Gianella et al., 2017).</p>
</sec>
<sec id="Ch1.S4.SS2.SSS3">
  <label>4.2.3</label><title>Knowledge about tsunami effects</title>
      <p id="d1e1457">Knowledge about tsunami effects is investigated by Q22 (“Try to figure out the effects of a tsunami on the coasts of your region. How far do you agree with the following statements?”). Results show that
in general, people are well aware of the possible worst effects of tsunamis on
the coasts of their region. In particular, deaths and serious injuries are
recalled by 93.9 % of the sample; damage to houses, buildings, and
infrastructures by 93.1 %; and negative impacts on economy and on occupation
and economy are both indicated by 89.4 %. It is worth saying that despite
high rates of knowledge about possible tsunami impacts, women, most educated
people, and people aged up to 65 years – as
well as the inhabitants of the municipalities included in the area hit by
the 1908 Strait of Messina tsunami – show slightly higher percentages. Summarizing, these kinds of effects are
well known and evident to interviewees.</p>
      <p id="d1e1460">The data also show a catastrophic representation of tsunami effects that
does not correspond to the expected effects on the Italian coasts where
moderate-sized tsunamis are more likely to occur. This scenario probably
comes from the diffusion of the catastrophic images of the tsunamis that
occurred in Sumatra–Andaman in 2004 and in Tōhoku, Japan, in 2011, widely conveyed by
television and social media. Given that macro-effects of a tsunami are well
recognized and understood, smaller effects at the local and individual level
seem to appear unfamiliar to respondents.</p>
      <p id="d1e1463">Indeed, data show that large coastal flooding is acknowledged by 83 % of
the interviewed and sea withdrawal by 77 %, and the possibility that a
small tsunami might drag an adult into the sea is known by 75 % (Q23).
Only 24 % of respondents think that fleeing to the beach after a strong
earthquake is appropriate behavior. The question about the possibility
that a large tsunami with waves of up to 20 m may occur in the Mediterranean Sea raises some concerns, as only 46 % of the overall sample
considers it a real possibility. Cross-tables highlight some unexpected
surprises, such as higher rates of youngsters (31 %) and women (27 %)
who consider fleeing to the beach a proper response to a massive earthquake.</p>
</sec>
<sec id="Ch1.S4.SS2.SSS4">
  <label>4.2.4</label><title>Data on source information</title>
      <p id="d1e1474">Data on the sources of information being used by the interviewees provide a
relevant framework to address and improve tsunami risk communication. As with our previous paper (Cerase et al. 2019), we have decided to group different sources into
homogeneous categories. Data provide a clear indication of the central role
of television, which is indicated as an information source by almost 90 %
of the sample. In more detail, television news reaches 83 % of respondents and
documentaries or scientific channels reach 23 %. Other traditional
broadcast media, considered a unique category including newspapers,
books, radio, and movies, are found to reach 58 % of the public.
Considering disaggregate penetration rates, newspapers were mentioned by
35 %, books by 19 %, movies by 12 %, and finally radio by 8 %.
Surprisingly enough, all internet sources show a penetration rate of
about 18 % and interpersonal sources such as friends, relatives, and
neighbors 5 %.</p>
      <p id="d1e1477">As noticed in the first step of the research, the impact of institutional
and scientific sources appears to be a problematic issue, making urgent the
development of a proper and effective risk communication strategy, since
their overall penetration rate is a mere 3.5 %. In more detail, rates are about 2 % for civil protection; 1.6 % for universities and research institutions; and barely 1 % for local administrative entities such as those of the region, the province, and the municipalities. The residual
category, other, was mentioned by only 35 people, corresponding to
0.6 %. This suggests that a strong effort is needed for institutional
parties to fill this gap, through widespread and comprehensive dissemination
of information (including information on evacuation routes and procedures) by using
state-of-the-art communication channels.</p>
      <p id="d1e1480">Of course, data deserve further analysis by means of data reduction
procedures, aimed at aggregating variables into new indicators and producing
synthetic, more effective understanding of the considered phenomena.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Discussion and concluding remarks</title>
      <p id="d1e1494">The three surveys on tsunami risk perception, conducted between 2018 and
2021, started from the necessity to study and understand the level of
knowledge of tsunami risk and the awareness of Italian citizens living in or
visiting coastal areas exposed to tsunami hazard.</p>
      <p id="d1e1497">To date, these surveys represent a relevant sample of the Italian
population, both for the number of interviewees and for the adopted
methodology (5842 CATI interviews carried out on over 6000 km of coastline
with moderate to very high tsunami hazard, plus a nationwide “Telepanel”
sample representative of the whole Italian population).</p>
      <p id="d1e1500">The main results show that the tsunami risk perception varies significantly
according to the coastal region. In particular, regions in the Adriatic
(Apulia, Molise) show very low levels of risk perception compared to
Calabria, Sicily, and Campania, on both the Ionian and the Tyrrhenian
seaside. Latium and Sardinia lie in the middle, with equal numbers of people
thinking that a tsunami could hit their region.</p>
      <p id="d1e1503">The educational degree affects tsunami risk perception: the higher the
educational degree, the higher the tsunami risk perception.</p>
      <p id="d1e1507">On the contrary, data analyses show that tsunami risk perception is not
influenced by either gender or age. A slight difference is observed in the
middle age group in which interviewees of 35–49 years appear to have a
slightly higher perception. Elderly people show the lowest frequency
percentage in the response modality “I don't know” associated with low tsunami risk perception.</p>
      <p id="d1e1510">These data are consistent with several studies on local cultures, showing
how communities that have previously experienced disasters are more likely
to develop better resilience to and preparedness (Dekens, 2007) for these
calamitous events. Such knowledge, which differs from scientific knowledge
(Flavier et al., 1995), is associated with the historical memory of past
experiences learned and transmitted through rituals, traditions, narratives,
and folk songs (e.g., <italic>smong</italic> songs on the island of Simeulue) (McAdoo et al., 2006;
Rahman et al., 2017, 2018; Sutton et al., 2021) and defined
in a different way to “local knowledge”, “traditional knowledge”, “indigenous technical knowledge”, “peasant knowledge”, “traditional environmental knowledge”, and “folk knowledge” (Sillitoe, 1998; Mercer et al., 2007, 2010).</p>
      <p id="d1e1516">Memories of previous disasters both inform people's knowledge of their
environment and vulnerability and influence their risk interpretation
and response to future disasters (Arunotai, 2008). Collective memory,
relying on oral tradition shared by a specific group, most commonly the
family, tends to disappear with the death of the last eyewitness to the
event (the three-generation limit). Cultural memory, supported by documents
(such as newspapers, archives, images) and memorials as tangible signs for
the community, ensures that disaster meanings and interpretations are
recorded and transmitted from generation to generation. These forms of
cultural memory, considered by Mercer et al. (2010) an existing or
acquired knowledge set by local communities, are born and maintained through
the accumulation of experiences, social relations, and community practices and
institutions and their transmission across generations.</p>
      <p id="d1e1519">The study of Garnier and Lahournat (2022) highlights how Japanese stone monuments,
representing elements of both tangible and intangible culture for the
population, demonstrate the existence of disaster memory and reflect a
desire to commemorate and transmit significant past events to current and
future generations. These findings highlight the importance of oral
transmission between generations regarding tsunami risk and could be very useful
for designing effective information and communications activities about
tsunami risk reduction (Spahn et al., 2010; Løvholt et al., 2014; Oktari
et al., 2018; Sutton et al., 2020).</p>
      <p id="d1e1522">In this work, we also carried out a comparative analysis on tsunami risk
perception between metropolitan areas and their respective coasts (see
Sect. 4.1.1), starting from the hypothesis that risk perception could be
different among the population residing in a large city and the population
of small municipalities distributed along the seaside. The territorial units
analyzed were selected based on exposure (higher coastal population density
or proximity of major urban settlements to the coast) and territorial
vulnerability (high concentration of anthropogenic activities such as
industries or intensive tourism activities) according to ISTAT (Italian National Institute of Statistics) data.</p>
      <p id="d1e1525">The goal of this comparison is both to highlight possible differences in
perceptions associated with densely populated urban areas and to provide a
solid basis for targeted risk mitigation actions in specific contexts (for
example to improve and better address the UNESCO Tsunami Ready program; Valbonesi et al., 2019, 2021; Valbonesi, 2022).</p>
      <p id="d1e1529">The results indicate that in Reggio Calabria, Catania, and Naples
there are indeed significant differences in tsunami risk perception compared to in
the respective seaside areas. These data are most evident in Reggio Calabria (71 %)
with a difference of over 25 percentage points compared to the Tyrrhenian
(45 %) and Ionian (46 %) sides of the same region (Calabria).</p>
      <p id="d1e1532">The data continue to be significant, albeit less evidently, for Catania
(50 %) and the Ionian seaside (46 %) and for the city of Naples (47 %)
and the Tyrrhenian seaside (45 %). It is useful to underline that the
metropolitan city of Bari, despite being on a stretch of coast considered to
be at high risk, has significantly lower values of perception of the tsunami
risk (34 %), in line with the data for the whole Adriatic coast (32 %).
Tsunami risk perception in the metropolitan area of Rome seems to be lower
than on the Tyrrhenian coast. This is probably because Rome cannot really be
considered a coastal town because most of its over 3 million inhabitants
live far from the sea. The presence within the metropolitan area of Rome of
the town of Ostia, a very populous municipality (over 231 000 inhabitants)
lying along the Tyrrhenian coast, is not enough to raise the overall risk
perception of the capital. It would be interesting to deepen this aspect
with specific analysis of the local residents, commuters, and visitors. Given
the city's proximity to the coast (about 20 km), it is also worth
considering the large daily (as well as seasonal) tourist flows of the
summer period.</p>
      <p id="d1e1535">The Telepanel data (<inline-formula><mml:math id="M28" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M29" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 1500), collected in the same time period as the
third survey, deserve particular attention because they provide a representative
sample of the population at the national level, which means people
predominantly living far from the seaside. Comparing the tsunami risk
perception of the Telepanel with the surveys carried out on the coastal
population, it emerges that the coastal population on average has a
perception of risk significantly higher than the national average of about
20 percentage points. These data suggest that it is necessary to pay
particular attention to the coastal touristic areas where every year
millions of people spend their holidays. Providing information panels along
the beaches and in the harbors, indicating evacuation routes and meeting
points and establishing redundant alarm systems are the main tools to be put
in place to reduce the tsunami risk of both residents and tourists.</p>
      <p id="d1e1552">As for knowledge of tsunamis, we started by considering the different
associations linked to the two terms that are commonly used in the Italian
language: tsunami and <italic>maremoto</italic>.</p>
      <p id="d1e1558">Results indicate that most of the sample is more familiar with the term
tsunami (57 %), particularly those with a higher level of education
(66 %), and the term is less familiar to people over 65 years old.</p>
      <p id="d1e1561">However, there are some differences that appear to be linked to local
characteristics and which will be the subject of further investigation.</p>
      <p id="d1e1565">It is interesting to notice that the two terms are associated with different
phenomena. For instance, the term tsunami is mostly related to the
occurrence of a great destructive wave, while the word <italic>maremoto</italic> is more often related to the occurrence of an earthquake.</p>
      <p id="d1e1571">As for knowledge of the causes that generate tsunamis, in general the
sample correctly attributes the occurrence of a tsunami to earthquakes and
secondarily to volcanic eruptions, in line with scientific knowledge.
Furthermore, tsunami knowledge does not seem to be linked to the gender and
the areas of residence of the interviewees but increases according to their
educational degree and inversely with age (people with a higher education degree
and who are younger than 50 years old appear to be more informed).</p>
      <p id="d1e1574">Our data indicate that in general people are aware of the possible effects
of tsunamis on their regions. However, this knowledge appears to be closely
influenced by the media representation of the great tsunamis that occurred
in Tōhoku, Japan (2011), and Sumatra–Andaman (2004). This type of media representation could
turn out to be misleading with respect to the more modest phenomena that can
be generated by smaller tsunamis, which are more frequently expected in the Italian
coastal territory but are also capable of causing serious damage and creating victims.</p>
      <p id="d1e1577">However, the probability of a tsunami of significant size – such as the one that
occurred in 1908 in southern Italy – is not entirely negligible.</p>
      <p id="d1e1580">Moreover, our data indicate that television continues to play a central role
in conveying information relating to tsunami risk, while the information
role played by social media and the web appears to still be marginal. A
particularly problematic aspect concerns the poor visibility of scientific
institutions and civil protection and local authorities in being recognized by the
interviewees as official sources of information on the tsunami risk.</p>
      <p id="d1e1583">Our results suggest that the loss of memory of past events affects the
perception of risk by citizens and communities, making risk mitigation actions more difficult and
even ineffective (see for example Kurita et al.,
2007; Sugimoto et al., 2010; Arias et al., 2017; Wei et al., 2017). Memory
and recollections (such as commemorations of past events) are relevant for
the development of risk mitigation strategies and to increase population
resilience. More specifically, awareness raising aimed at
attributing a sense and a meaning to the memory is needed in order to reduce risk. We believe that the results of this study, although limited to
central and southern Italy, can be used in other countries of the NEAM
region and worldwide to orient communication strategies and risk reduction
actions.</p>
      <p id="d1e1587">In the near future, given the large number of data collected in the three
surveys, we will focus on the creation of synthetic indexes for the
perception and knowledge of tsunami risk.</p>
      <p id="d1e1590">We are also working to deepen knowledge related to cultural
differences in the perception of risk, which seem to be very influenced by
the local culture of reference. We are confident that this will allow us to
better explain the differences in perception and knowledge that the data
show in the different sea areas (coastal sides) and metropolitan cities.
Finally, our efforts will be focused on translating the results of risk
perception analyses into effective communication strategies for tsunami risk
reduction. Not least, the 2018 pilot survey results – published in a
previous paper by Cerase et al. (2019) – have already been extensively used in
developing and improving the CAT website content. Moreover, several relevant
aspects of the study made it possible to better address approaches in risk
awareness campaigns such as “Io Non Rischio” (a civil protection campaign)
as well as to undertake dissemination campaigns aimed both at raising awareness
and at surveying tsunami risk perception in schools (one of the Tsunami Ready
program indicators).</p>
</sec>

      
      </body>
    <back><notes notes-type="codeavailability"><title>Code availability</title>

      <p id="d1e1597">The research was carried out through the production of data with the CATI method and statistical analysis with dedicated software. ​​​​​​​Analyses were performed in SPSS Statistics, Version 26.0 (IBM Corp, Armonk, NY). The software requires a license fee and can be accessed online from the website: <uri>https://www.ibm.com/uk-en/products/spss-statistics</uri> (last access: 26 November 2022). The paper was written using the Microsoft Office suite. The software requires a paid license and can be accessed from: <uri>https://www.microsoft.com/en-gb</uri> (last access: 26 November 2022). No other type of code or software was used.</p>
  </notes><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e1609">The dataset generated for the present study is not yet publicly available because the questionnaire has not yet been administered in all Italian coastal areas and the data are being further analyzed by the research team. However, data are available from the corresponding author on reasonable request.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e1615">The authors contributed to the different sections of this paper as follows: Introduction – LCu, MC, FLL, AC, AA, and LCe; Sect. 2 “Studies on tsunami risk perception, a brief overview” – LCu, MC, FLL, AC, AA, and LCe; Sect. 3 “CAT-INGV tsunami risk perception studies” – LCu, MC, FLL, AC, AA, and LCe; Sect. 3.1, “The tsunami risk perception questionnaire” – MC, FLL, and AC; Sect. 3.2 “Study area and sample characteristics” – MC, FLL, and AC; Sect. 3.3 “Sample validation for the three survey phases” – LCu and LCe; Sect. 3.4 “The national sample” – LCu and LCe; Sect. 4.1 “Tsunami risk perception” – LCu, MC, FLL, and LCe; Sect. 4.2 “Tsunami knowledge” – AC; Sect. 5 – LCu, MC, FLL, AC, AA, and LCe.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e1621">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e1627">This paper does not necessarily represent DPC's official opinion and policies.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Publisher’s note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d1e1636">This article is part of the special issue “Tsunamis: from source processes to coastal hazard and warning”. It is not associated with a conference.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e1642">We thank the two anonymous reviewers and the editor Hélène Hébert for helpful suggestions that improved the manuscript. We thank Fabrizio Romano​​​​​​​ for his encouragement. This paper has benefited from the agreement between CAT-INGV and the Italian Presidenza del Consiglio dei Ministri, Department of Civil Protection (DPC).</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e1647">This research has been supported by the National Department of Civil Protection (grant no. All. B2 2019/2021).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e1653">This paper was edited by Hélène Hébert and reviewed by two anonymous referees.</p>
  </notes><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><?label 1?><mixed-citation>Akbar, Z., Suryaratri, R. D., Tri, Y., Gumelar, G., and Ariyani, M.: Disaster Risk Perception and Household Disaster Preparedness: Lesson Learned from Tsunami in Banten, in: IOP Conference Series: Earth and Environmental Science, IOP Publishing, 448, 012099, <ext-link xlink:href="https://doi.org/10.1088/1755-1315/448/1/012099" ext-link-type="DOI">10.1088/1755-1315/448/1/012099</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><?label 1?><mixed-citation>Alam, E.: Earthquake and tsunami knowledge, risk perception and preparedness
in the SE Bangladesh, J. Geogr. Nat. Disasters, 6, 1–7, <ext-link xlink:href="https://doi.org/10.4172/2167-0587.1000154" ext-link-type="DOI">10.4172/2167-0587.1000154</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><?label 1?><mixed-citation>Amato, A.: Some reflections on tsunami early warning systems and their
impact, with a look at the NEAMTWS, Boll. Geofis. Teor. Appl., 61, 403–420, <ext-link xlink:href="https://doi.org/10.4430/bgta0329" ext-link-type="DOI">10.4430/bgta0329</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><?label 1?><mixed-citation>Amato, A., Avallone, A., Basili, R., Bernardi, F., Brizuela, B., Graziani, L., Herrero, A., Lorenzino, M. C., Lorito, S., Mele, F. M., Michelini, A., Piatanesi, A., Pintore, S., Romano, F., Selva, J., Stramondo, S., Tonini, R., and Volpe, M.: From seismic monitoring to tsunami
warning in the mediterranean sea, Seismol. Res. Lett., 92,
1796–1816, <ext-link xlink:href="https://doi.org/10.1785/0220200437" ext-link-type="DOI">10.1785/0220200437</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><?label 1?><mixed-citation>Apatu, E. J., Gregg, C. E., Wood, N. J., and Wang, L.: Household evacuation characteristics in American Samoa during the 2009 Samoa Islands tsunami, Disasters, 40, 779–798, <ext-link xlink:href="https://doi.org/10.1111/disa.12170" ext-link-type="DOI">10.1111/disa.12170</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><?label 1?><mixed-citation>Arias, J. P., Bronfman, N. C., Cisternas, P. C., and Repetto, P. B.: Hazard proximity
and risk perception of tsunamis in coastal cities: Are people able to
identify their risk?, PLoS one, 12, e0186455, <ext-link xlink:href="https://doi.org/10.1371/journal.pone.0186455" ext-link-type="DOI">10.1371/journal.pone.0186455</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><?label 1?><mixed-citation>Arunotai, N.: Saved by an old legend and a keen observation: The case of
Moken sea nomads in Thailand, in: Indigenous Knowledge for Disaster Risk Reduction: Good Practices and Lessons Learnt from the Asia-Pacific Region, edited by: Shaw, R., Uy, N., and Baumwoll, J., UNISDR Asia and
Pacific, Bangkok, 73–78, <uri>https://www.unisdr.org/files/3646_IndigenousKnowledgeDRR.pdf</uri> (last access: 26 November 2022), 2008.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><?label 1?><mixed-citation>Basili, R., Brizuela, B., Herrero, A., Iqbal, S., Lorito, S., Maesano, F. E., Murphy, S., Perfetti, P., Romano, F., Scala, A., Selva, J., Taroni, M., Thio, H. K., Tiberti, M. M., Tonini, R., Volpe, M., Glimsdal, S., Harbitz, C. B., Løvholt, F., Baptista, M. A., Carrilho, F., Matias, L. M., Omira, R., Babeyko, A., Hoechner, A., Gurbuz, M., Pekcan, O., Yalçıner, A., Canals, M., Lastras, G., Agalos, A., Papadopoulos, G., Triantafyllou, I., Benchekroun, S., Agrebi Jaouadi, H., Attafi, K., Ben Abdallah, S., Bouallegue, A., Hamdi, H., and Oueslati, F.: NEAMTHM18 Documentation: the making of the TSUMAPS-NEAM Tsunami Hazard Model 2018, Istituto Nazionale di Geofisica e Vulcanologia (INGV), Zenodo, <ext-link xlink:href="https://doi.org/10.5281/zenodo.3406625" ext-link-type="DOI">10.5281/zenodo.3406625</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><?label 1?><mixed-citation>Basili, R., Brizuela, B., Herrero, A., Iqbal, S., Lorito, S., Maesano, F. E., Murphy, S., Perfetti, P., Romano, F., Scala, A., Selva, J., Taroni, M., Tiberti, M. M., Thio, H. K., Tonini, R., Volpe, M., Glimsdal, S., Harbitz, C. B., Løvholt, F., Baptista, M. A., Carrilho, F., Matias, L. M., Omira, R., Babeyko, A., Hoechner, A., Gürbüz, M., Pekcan, O., Yalçıner, A., Canals, M., Lastras, G., Agalos, A., Papadopoulos, G., Triantafyllou, I., Benchekroun, S., Agrebi, Jaouadi, H., Ben Abdallah, S., Bouallegue, A., Hamdi, H., Oueslati, F., Amato, A., Armigliato, A., Behrens, J., Davies, G., Di Bucci, D., Dolce, M., Geist, E., Gonzalez Vida, J. M., González, M., Macías Sánchez, J., Meletti, C., Ozer Sozdinler, C., Pagani, M., Parsons, T., Polet, J., Power, W., Sørensen, M., and Zaytsev, A.: The Making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18), Front. Earth Sci., 8, 616594, <ext-link xlink:href="https://doi.org/10.3389/feart.2020.616594" ext-link-type="DOI">10.3389/feart.2020.616594</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><?label 1?><mixed-citation>Behrens, J., Løvholt, F., Jalayer, F., Lorito, S., Salgado-Gálvez, M. A., Sørensen, M., Abadie, S., Aguirre-Ayerbe, I., Aniel-Quiroga, I., Babeyko, A., Baiguera, M., Basili, R., Belliazzi, S., Grezio, A., Johnson, K., Murphy, S., Paris, R., Rafliana, I., De Risi, R., Rossetto, T., Selva, J., Taroni, M., Del Zoppo, M., Armigliato, A., Bureš, V., Cech, P., Cecioni, C., Christodoulides, P., Davies, G., Dias, F., Bayraktar, H. B., González, M., Gritsevich, M., Guillas, S., Harbitz, C. B., Kânoǧlu, U., Macías, J., Papadopoulos, G. A., Polet, J., Romano, F., Salamon, A., Scala, A., Stepinac, M., Tappin, D. R., Thio, H. K., Tonini, R., Triantafyllou, I., Ulrich, T., Varini, E., Volpe, M., and Vyhmeister, E.: Probabilistic tsunami
hazard and risk analysis: a review of research gaps, Front. Earth
Sci., 9, 628772, <ext-link xlink:href="https://doi.org/10.3389/feart.2021.628772" ext-link-type="DOI">10.3389/feart.2021.628772</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><?label 1?><mixed-citation>Bonaiuto, M., Alves, S., De Dominicis, S., and Petruccelli, I.: Place attachment and natural hazard risk: Research review and agenda, J. Environ. Psychol., 48, 33–53, <ext-link xlink:href="https://doi.org/10.1016/j.jenvp.2016.07.007" ext-link-type="DOI">10.1016/j.jenvp.2016.07.007</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><?label 1?><mixed-citation>
Boschi, E., Guidoboni, E., Ferrari, G., Mariotti, D., Valensise, G., and Gasperini, P.: Catalogue of Strong Italian Earthquakes from 461 BC to 1997, Appendix to volume 43, No. 4, 2000, Ann. Geophys.-Italy, 43, 609–868, 2000.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><?label 1?><mixed-citation>
Brokensha, D. W., Warren, D. M., and Werner, O.: Indigenous knowledge
systems and development, University Press of America, Washington D.C., ISBN 9780819111029, 1980.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><?label 1?><mixed-citation>Buylova, A., Chen, C., Cramer, L. A., Wang, H., and Cox, D. T.: Household risk perceptions and
evacuation intentions in earthquake and tsunami in a Cascadia Subduction
Zone, Int. J. Disast. Risk Re., 44, 101442, <ext-link xlink:href="https://doi.org/10.1016/j.ijdrr.2019.101442" ext-link-type="DOI">10.1016/j.ijdrr.2019.101442</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><?label 1?><mixed-citation>Cerase, A., Crescimbene, M., La Longa, F., and Amato, A.: Tsunami risk perception in southern Italy: first evidence from a sample survey, Nat. Hazards Earth Syst. Sci., 19, 2887–2904, <ext-link xlink:href="https://doi.org/10.5194/nhess-19-2887-2019" ext-link-type="DOI">10.5194/nhess-19-2887-2019</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><?label 1?><mixed-citation>Cirella, A., Romano, F., Avallone, A., Piatanesi, A., Briole, P., Ganas, A., Theodoulidis, N., Chousianitis, K., Volpe, M., Bozionellos, G., Selvaggi, G., and Lorito, S.: The 2018 Mw 6.8 Zakynthos (Ionian Sea, Greece) earthquake: Seismic source and local tsunami characterization, Geophys. J. Int., 221, 1043–1054, <ext-link xlink:href="https://doi.org/10.1093/gji/ggaa053" ext-link-type="DOI">10.1093/gji/ggaa053</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><?label 1?><mixed-citation>Cohen, E.: Tourism and land grab in the aftermath of the Indian Ocean
tsunami, Scand. J. Hosp. Tour., 11, 224–236,
<ext-link xlink:href="https://doi.org/10.1080/15022250.2011.593359" ext-link-type="DOI">10.1080/15022250.2011.593359</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><?label 1?><mixed-citation>Collet, I. and Engelbert, A.: Eurostat: General and regional statistics, Catalogue number: KS-SF-13-030-EN-N, ISSN 2314-9647, <uri>http://ec.europa.eu/eurostat/statistics-explained/index.php/Archive:Coastal_regions_-_population_statistics</uri> (last access: 26 November 2022), 2013.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><?label 1?><mixed-citation>Cronbach, L. J.: Coefficient alpha and the internal structure of tests,
Psychometrika, 16, 297–334, <ext-link xlink:href="https://doi.org/10.1007/BF02310555" ext-link-type="DOI">10.1007/BF02310555</ext-link>, 1951.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><?label 1?><mixed-citation>Cronbach, L. J.: Internal consistency of tests: Analyses old and new,
Psychometrika, 53, 63–70, <ext-link xlink:href="https://doi.org/10.1007/BF02294194" ext-link-type="DOI">10.1007/BF02294194</ext-link>, 1988.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><?label 1?><mixed-citation>Dawson, A. G., Lockett, P., and Shi, S.: Tsunami hazards in Europe,
Environ. Int., 30, 577–585, <ext-link xlink:href="https://doi.org/10.1016/j.envint.2003.10.005" ext-link-type="DOI">10.1016/j.envint.2003.10.005</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><?label 1?><mixed-citation>Dekens, J.: Local knowledge for disaster preparedness: A literature review,
International Centre for Integrated Mountain Development (ICIMOD),
Kathmandu, <ext-link xlink:href="https://doi.org/10.53055/ICIMOD.474" ext-link-type="DOI">10.53055/ICIMOD.474</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><?label 1?><mixed-citation>DePippo, T., Donadio, C., Pennetta, M., Petrosino, C., Terlizzi, F., and Valente, A.: Coastal hazard assessment
and mapping in Northern Campania, Italy, Geomorphology, 97, 451–466,
<ext-link xlink:href="https://doi.org/10.1016/j.geomorph.2007.08.015" ext-link-type="DOI">10.1016/j.geomorph.2007.08.015</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><?label 1?><mixed-citation>Dogan, G. G., Annunziato, A., Papadopoulos, G. A., Guler, H. G., Yalciner, A. C., Cakir, T. E., Sozdinler, C. O., Ulutas, E., Arikawa, T., Suzen, M. L., Guler, I., Probst, P., Kânoğlu, U., and Synolakis, C.: The 20th July
2017 Bodrum–Kos Tsunami Field Survey, Pure Appl. Geophys., 176,
2925–2949, <ext-link xlink:href="https://doi.org/10.1007/s00024-019-02151-1" ext-link-type="DOI">10.1007/s00024-019-02151-1</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><?label 1?><mixed-citation>Dogan, G. G., Yalciner, A. C., Yuksel, Y., Ulutaş, E., Polat, O., Güler, I., Şahin, C., Tarih, A., and Kânoğlu, U.: The 30 October 2020
Aegean Sea Tsunami: Post-Event Field Survey Along Turkish Coast, Pure Appl.
Geophys., 178, 785–812, <ext-link xlink:href="https://doi.org/10.1007/s00024-021-02693-3" ext-link-type="DOI">10.1007/s00024-021-02693-3</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><?label 1?><mixed-citation>Dogulu, N., Karanci, N., and Lavigne, F.: Review of the existing work on
tsunami resilient communities and identification of key indicators and
gaps, ASTARTE Deliverable, report, 9, <ext-link xlink:href="https://doi.org/10.13140/RG.2.1.2412.5922" ext-link-type="DOI">10.13140/RG.2.1.2412.5922</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><?label 1?><mixed-citation>Douglas, M. and Wildavsky, A.: How can we know the risks we face? Why risk
selection is a social process 1, Risk Anal., 2, 49–58, <ext-link xlink:href="https://doi.org/10.1111/j.1539-6924.1982.tb01365.x" ext-link-type="DOI">10.1111/j.1539-6924.1982.tb01365.x</ext-link>, 1982.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><?label 1?><mixed-citation>EMDAT: Natural Disasters: Number of deaths by type of natural disaster, Int. Disaster Database, Univ. Cathol. Louvain. Bruselas, Belgica, <uri>https://www.emdat.be/</uri>​​​, (last access: 28 November 2022), 2019.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><?label 1?><mixed-citation>Fernando, J. L.: NGOs and production of indigenous knowledge under the
condition of postmodernity, Ann. Am. Acad. Polit. S. S., 590, 54–72, <ext-link xlink:href="https://doi.org/10.1177/0002716203258374" ext-link-type="DOI">10.1177/0002716203258374</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><?label 1?><mixed-citation>
Flavier, J. M., Jesus, A. D., and Navarro, C. S.: The regional program for
the promotion of indigenous knowledge in Asia. The cultural dimension of
development: indigenous knowledge systems, Intermediate Technology Publications, London, 479–487, ISBN 9781853392511, 1995.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><?label 1?><mixed-citation>Fraser, S. A., Doyle, E. E., Wright, K. C., Potter, S. H., McClure, J., Johnston, D. M., Leonard, G. S., Coomer, M. A., Becker, J. S., and Johal, S.: Tsunami response
behaviour during and following two local-source earthquakes in Wellington,
New Zealand, Int. J. Disast. Risk Re., 16, 123–133,
<ext-link xlink:href="https://doi.org/10.1016/j.ijdrr.2016.02.008" ext-link-type="DOI">10.1016/j.ijdrr.2016.02.008</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><?label 1?><mixed-citation>Garnier, E. and Lahournat, F.: Japanese stone monuments and disaster
memory–perspectives for DRR, Disaster Prev. Manag. Int. J., 31, 1–12,
<ext-link xlink:href="https://doi.org/10.1108/DPM-03-2021-0089" ext-link-type="DOI">10.1108/DPM-03-2021-0089</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><?label 1?><mixed-citation>Goeldner-Gianella, L., Grancher, D., Robertsen, Ø., Anselme, B., Brunstein, D., and Lavigne, F.: Perception of the risk of tsunami in a context of high-level risk assessment and management: the case of the fjord Lyngen in Norway, Geoenviron. Disasters, 4, 1–15, <ext-link xlink:href="https://doi.org/10.1186/s40677-017-0068-y" ext-link-type="DOI">10.1186/s40677-017-0068-y</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><?label 1?><mixed-citation>Gravina, T., Nicola, M., Luca, F., and Pierfrancesco, C.: Tsunami risk perception along the
Tyrrhenian coasts of Southern Italy: the case of Marsili volcano, Nat.
Hazards, 97, 437–454, <ext-link xlink:href="https://doi.org/10.1007/s11069-019-03652-x" ext-link-type="DOI">10.1007/s11069-019-03652-x</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><?label 1?><mixed-citation>Gregg, C. E., Houghton, B. F., Paton, D., Lachman, R., Lachman, J., Johnston, D. M., and Wongbusarakum, S.: Natural warning signs of
tsunamis: human sensory experience and response to the 2004 great Sumatra
earthquake and tsunami in Thailand, Earthq. Spectra, 22, 671–691, <ext-link xlink:href="https://doi.org/10.1193/1.2206791" ext-link-type="DOI">10.1193/1.2206791</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><?label 1?><mixed-citation>Grezio, A., Gasparini, P., Marzocchi, W., Patera, A., and Tinti, S.: Tsunami risk assessments in Messina, Sicily – Italy, Nat. Hazards Earth Syst. Sci., 12, 151–163, <ext-link xlink:href="https://doi.org/10.5194/nhess-12-151-2012" ext-link-type="DOI">10.5194/nhess-12-151-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><?label 1?><mixed-citation>Ho, M., Shaw, D., Shuyeu, L., and Yao-Chu, C.: How do disaster characteristics influence risk perception?, Risk Anal., 28, 635–643, <ext-link xlink:href="https://doi.org/10.1111/j.1539-6924.2008.01040.x" ext-link-type="DOI">10.1111/j.1539-6924.2008.01040.x</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><?label 1?><mixed-citation>ISTAT: Rapporto annuale 2020, La situazione del paese, Report, <uri>https://www.istat.it/it/archivio/244848</uri> (last access: 4 July 2022), 2020a.</mixed-citation></ref>
      <ref id="bib1.bib39"><label>39</label><?label 1?><mixed-citation>ISTAT: Rapporto sul territorio, 2020, Ambiente, Economia e Società, Report, <ext-link xlink:href="https://doi.org/10.1481/Istat.RapportoTerritorio.2020" ext-link-type="DOI">10.1481/Istat.RapportoTerritorio.2020</ext-link>, 2020b.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><?label 1?><mixed-citation>
ISTAT: Demografia in cifre, ISTAT, Rome, Italy, ISBN 978-88-458-2066-3, 2021.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><?label 1?><mixed-citation>Jon, I., Lindell, M. K., Prater, C. S., Huang, S. K., Wu, H. C., Johnston, D. M., Becker, J. S., Shiroshita, H., Doyle, E. E. H., and Potter, S. H.: Behavioral Response in the
Immediate Aftermath of Shaking: Earthquakes in Christchurch and Wellington,
New Zealand, and Hitachi, Japan, Int. J. Env. Res. Pub. He., 13, 1137, <ext-link xlink:href="https://doi.org/10.3390/ijerph13111137" ext-link-type="DOI">10.3390/ijerph13111137</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib42"><label>42</label><?label 1?><mixed-citation>Kalligeris, N., Skanavis, V., Melis, N. S., Okal, E. A., Dimitroulia, A.,
Charalampakis, M., Lynett, P. J., and Synolakis, C. E.: The Mw <inline-formula><mml:math id="M30" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 6.6 earthquake and tsunami of south Crete on 2020 May 2, Geophys. J.
Int., 230, 480–506, 2022.</mixed-citation></ref>
      <ref id="bib1.bib43"><label>43</label><?label 1?><mixed-citation>Kurita, T., Arakida, M., and Colombage, S. R.: Regional characteristics of
tsunami risk perception among the tsunami affected countries in the Indian
Ocean, Journal of Natural Disaster Science, 29, 29–38, <ext-link xlink:href="https://doi.org/10.2328/jnds.29.29" ext-link-type="DOI">10.2328/jnds.29.29</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib44"><label>44</label><?label 1?><mixed-citation>Lindell, M. K. and Perry, R. W.: Household Adjustment to Earthquake Hazard: A Review of Research, Environ. Behav., 32, 461–501, <ext-link xlink:href="https://doi.org/10.1177/00139160021972621" ext-link-type="DOI">10.1177/00139160021972621</ext-link>, 2000.</mixed-citation></ref>
      <ref id="bib1.bib45"><label>45</label><?label 1?><mixed-citation>Lindell, M. K., Prater, C. S., Gregg, C. E., Apatu, E., Huang, S. K., and Wu, H. C.: Households' immediate
responses to the 2009 American Samoa Earthquake and Tsunami, Int.
J. Disast. Risk Re., 12, 328–340, <ext-link xlink:href="https://doi.org/10.1016/j.ijdrr.2015.03.003" ext-link-type="DOI">10.1016/j.ijdrr.2015.03.003</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib46"><label>46</label><?label 1?><mixed-citation>Lindell, M. K., Prater, C. S., Wu, H. C., Huang, S. K., Johnston, D. M., Becker, J. S., and Shiroshita, H.: Immediate behavioural
responses to earthquakes in Christchurch, New Zealand, and Hitachi, Japan,
Disasters, 40, 85–111, <ext-link xlink:href="https://doi.org/10.1111/disa.12133" ext-link-type="DOI">10.1111/disa.12133</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib47"><label>47</label><?label 1?><mixed-citation>Liu, Y., Yu, J., Yin, Q., Sun, C., and Sun, A.: Impacts of human factors on evacuation performance in university gymnasiums, Physica A, 582, 126236,
<ext-link xlink:href="https://doi.org/10.1016/j.physa.2021.126236" ext-link-type="DOI">10.1016/j.physa.2021.126236</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib48"><label>48</label><?label 1?><mixed-citation>Løvholt, F., Setiadi, N., Birkmann, J., Harbitz, C., Bach, C., Fernando, N., Kaiser, G., and Nadim, F.: Tsunami risk reduction – are we better prepared today than in 2004?, Int. J. Disast. Risk Re., 10, 127–142, <ext-link xlink:href="https://doi.org/10.1016/j.ijdrr.2014.07.008" ext-link-type="DOI">10.1016/j.ijdrr.2014.07.008</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib49"><label>49</label><?label 1?><mixed-citation>Maramai, A., Brizuela, B., and Graziani, L.: The Euro-Mediterranean tsunami
catalogue, Ann. Geophys.-Italy, 57, S0435, <ext-link xlink:href="https://doi.org/10.4401/ag-6437" ext-link-type="DOI">10.4401/ag-6437</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib50"><label>50</label><?label 1?><mixed-citation>Maramai A., Graziani L., and Brizuela B.: Italian Tsunami Effects Database
(ITED), Istituto Nazionale di Geofisica e Vulcanologia (INGV), <ext-link xlink:href="https://doi.org/10.13127/tsunami/ited.1.0" ext-link-type="DOI">10.13127/tsunami/ited.1.0</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib51"><label>51</label><?label 1?><mixed-citation>Maramai, A., Graziani, L., and Brizuela, B.: Italian tsunami effects
database (ITED): the first database of tsunami effects observed along the
Italian coasts, Front. Earth Sci., 9, 596044, <ext-link xlink:href="https://doi.org/10.3389/feart.2021.596044" ext-link-type="DOI">10.3389/feart.2021.596044</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib52"><label>52</label><?label 1?><mixed-citation>Maramai, A., Brizuela, B., and Graziani, L.: A Database for Tsunamis and
Meteotsunamis in the Adriatic Sea, Appl. Sci., 12, 5577,
<ext-link xlink:href="https://doi.org/10.3390/app12115577" ext-link-type="DOI">10.3390/app12115577</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bib53"><label>53</label><?label 1?><mixed-citation>Martin, W. E., Martin, I. M., and Kent, B.: The role of risk perceptions in
the risk mitigation process: the case of wildfire in high risk communities,
J. Environ. Manage., 91, 489–498, <ext-link xlink:href="https://doi.org/10.1016/j.jenvman.2009.09.007" ext-link-type="DOI">10.1016/j.jenvman.2009.09.007</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib54"><label>54</label><?label 1?><mixed-citation>Mauelshagen, F.: Flood disasters and political culture at the German North
Sea coast: a long-term historical perspectiv, Hist. Soc. Res., 32, 133–144, <ext-link xlink:href="https://doi.org/10.12759/hsr.32.2007.3.133-144" ext-link-type="DOI">10.12759/hsr.32.2007.3.133-144</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib55"><label>55</label><?label 1?><mixed-citation>McAdoo, B. G., Dengler, L., Prasetya, G., and Titov, V.: Smong: How an oral history
saved thousands on Indonesia's Simeulue Island during the December 2004 and
March 2005 tsunamis, Earthq. Spectra, 22, 661–669, <ext-link xlink:href="https://doi.org/10.1193/1.2204966" ext-link-type="DOI">10.1193/1.2204966</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib56"><label>56</label><?label 1?><mixed-citation>McIvor, O., Napoleon, A., and Dickie, K. M.: Language and culture as
protective factors for at-risk communities, International Journal of
Indigenous Health, 5, 6–25, <ext-link xlink:href="https://doi.org/10.18357/ijih51200912327" ext-link-type="DOI">10.18357/ijih51200912327</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib57"><label>57</label><?label 1?><mixed-citation>McNeill, I. M., Dunlop, P. D., Heath, J. B., Skinner, T. C., and Morrison, D. L.: Expecting the
unexpected: Predicting physiological and psychological wildfire preparedness
from perceived risk, responsibility, and obstacles, Risk Anal., 33,
1829–1843, <ext-link xlink:href="https://doi.org/10.1111/risa.12037" ext-link-type="DOI">10.1111/risa.12037</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib58"><label>58</label><?label 1?><mixed-citation>Mercer, J., Dominey-Howes, D., Kelman, I., and Lloyd, K.: The potential for combining indigenous and western knowledge in reducing vulnerability to environmental hazards in small island developing states, Environ. Hazards, 7, 245–256, <ext-link xlink:href="https://doi.org/10.1016/j.envhaz.2006.11.001" ext-link-type="DOI">10.1016/j.envhaz.2006.11.001</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib59"><label>59</label><?label 1?><mixed-citation>Mercer, J., Kelman, I., Taranis, L., and Suchet‐Pearson, S.: Framework for integrating
indigenous and scientific knowledge for disaster risk reduction, Disasters,
34, 214–239, <ext-link xlink:href="https://doi.org/10.1111/j.1467-7717.2009.01126.x" ext-link-type="DOI">10.1111/j.1467-7717.2009.01126.x</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib60"><label>60</label><?label 1?><mixed-citation>Moscovici, S.: La psychoanalyse, son immage et son publique, Paris, PUF,
<ext-link xlink:href="https://doi.org/10.2307/3319763" ext-link-type="DOI">10.2307/3319763</ext-link>, 1961.</mixed-citation></ref>
      <ref id="bib1.bib61"><label>61</label><?label 1?><mixed-citation>
Moscovici, S.: Social influence and social change, London, Accademic Press,
trad.it, Psicologia delle minoranze attive, Torino, Boringhieri, in
Palmonari, A. (1995), Processi simbolici e dinamiche sociali, Bologna, Il
Mulino, ISBN 0125084501, 1976.</mixed-citation></ref>
      <ref id="bib1.bib62"><label>62</label><?label 1?><mixed-citation>Musacchio, G., Eva, E., Crescimbene, M., Pino, N. A., and Cugliari, L.: A protocol to communicate seismic risk in schools: design, test and assessment in Italy, Ann. Geophys.-Italy, 64, 1-22, <ext-link xlink:href="https://doi.org/10.4401/ag-8533" ext-link-type="DOI">10.4401/ag-8533</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib63"><label>63</label><?label 1?><mixed-citation>National Geophysical Data Center/World Data Service (NCEI/WDS): NCEI/WDS global historical tsunami database. National Oceanic and Atmospheric
Administration, National Centers for Environmental Information, <ext-link xlink:href="https://doi.org/10.7289/V5PN93H7" ext-link-type="DOI">10.7289/V5PN93H7</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib64"><label>64</label><?label 1?><mixed-citation>Necmioğlu, Ö., Turhan, F., Özer Sözdinler, C., Yılmazer, M., Güneş, Y., Cambaz, M. D., Altuncu Poyraz, S., Ergün, T., Kalafat, D., and Özener, H.​​​​​​​:
KOERI's tsunami warning system in the eastern mediterranean and its
connected seas: a decade of achievements and challenges, Appl. Sci.,
11, 11247, <ext-link xlink:href="https://doi.org/10.3390/app112311247" ext-link-type="DOI">10.3390/app112311247</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib65"><label>65</label><?label 1?><mixed-citation>Nunnally, J. C.: Psychometric theory – 25 years ago and now, Educ.
Researcher, 4, 7–21, <ext-link xlink:href="https://doi.org/10.3102/0013189X004010007" ext-link-type="DOI">10.3102/0013189X004010007</ext-link>, 1975.</mixed-citation></ref>
      <ref id="bib1.bib66"><label>66</label><?label 1?><mixed-citation>Oktari, R. S., Shiwaku, K., Munadi, K., and Shaw, R.: Enhancing community resilience towards disaster: The contributing factors of school-community collaborative network in the tsunami affected area in Aceh, Int. J. Disast. Risk Re., 29, 3–12,
<ext-link xlink:href="https://doi.org/10.1016/j.ijdrr.2017.07.009" ext-link-type="DOI">10.1016/j.ijdrr.2017.07.009</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib67"><label>67</label><?label 1?><mixed-citation>Papadopoulos, G. A., Gràcia, E., Urgeles, R., Sallares, V., De Martini, P. C., Pantosti, D., González, M., Yalciner, A. C., Mascle, J., Sakellariou, D., Salamon, A,  Tinti, S., Karastathis, V., Fokaefs, A., Camerlenghi, A., Novikova, T., and Papageorgiou, A.: Historical and
pre-historical tsunamis in the Mediterranean and its connected seas:
Geological signatures, generation mechanisms and coastal impacts, Mar.
Geol., 354, 81–109, <ext-link xlink:href="https://doi.org/10.1016/j.margeo.2014.04.014" ext-link-type="DOI">10.1016/j.margeo.2014.04.014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib68"><label>68</label><?label 1?><mixed-citation>Paton, D., Sagala, S., Okada, N., Jang, L. J., Bürgelt, P. T., and Gregg, C. E.: Making sense of natural hazard
mitigation: Personal, social and cultural influences, Environ. Hazards,
9, 183–196, <ext-link xlink:href="https://doi.org/10.3763/ehaz.2010.0039" ext-link-type="DOI">10.3763/ehaz.2010.0039</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib69"><label>69</label><?label 1?><mixed-citation>Peterson, R.: A Meta-Analysis of Cronbach's Coefficient Alpha, J.
Consum. Res., 21, 381–391, <ext-link xlink:href="https://doi.org/10.1086/209405" ext-link-type="DOI">10.1086/209405</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib70"><label>70</label><?label 1?><mixed-citation>Petrarca, F.: Letters on Familiar Matters (Rerum Familiarium Libri): Vol.  1: Books I–VIII, translated by: Bernardo, A. S., Italica Press, New York, NY, <ext-link xlink:href="https://doi.org/10.2307/j.ctt1tqxw4s" ext-link-type="DOI">10.2307/j.ctt1tqxw4s</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib71"><label>71</label><?label 1?><mixed-citation>Rafliana, I., Jalayer, F., Cerase, A., Cugliari, L., Baiguera, M., Salmanidou, D., Necmioğlu, Ö., Aguirre Ayerbe, I., Lorito, S., Fraser, S., Løvholt, F., Babeyko, A., Salgado-Gálvez, M. A., Selva, J., De Risi, R., Sørensen, M. B., Behrens, J., Aniel-Quiroga, I., Del Zoppo, M., Belliazzi, S., Pranantyo, I. R., Amato, A., and Hancilar, U.: Tsunami risk communication and management: Contemporary gaps and challenges, Int. J. Disast. Risk Re., 70, 1–30, <ext-link xlink:href="https://doi.org/10.1016/j.ijdrr.2021.102771" ext-link-type="DOI">10.1016/j.ijdrr.2021.102771</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bib72"><label>72</label><?label 1?><mixed-citation>Rahman, A., Sakurai, A., and Munadi, K.: Indigenous knowledge management to
enhance community resilience to tsunami risk: Lessons learned from Smong
traditions in Simeulue island, Indonesia, in: IOP Conference series: earth
and environmental science, IOP Publishing, 56, 012018,
<ext-link xlink:href="https://doi.org/10.1088/1755-1315/56/1/012018" ext-link-type="DOI">10.1088/1755-1315/56/1/012018</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib73"><label>73</label><?label 1?><mixed-citation>Rahman, A., Sakurai, A., and Munadi, K.: The analysis of the development of
the Smong story on the 1907 and 2004 Indian Ocean tsunamis in strengthening
the Simeulue island community's resilience, Int. J. Disast. Risk Re., 29, 13–23, <ext-link xlink:href="https://doi.org/10.1016/j.ijdrr.2017.07.015" ext-link-type="DOI">10.1016/j.ijdrr.2017.07.015</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib74"><label>74</label><?label 1?><mixed-citation>Renn, O.: Public responses to the Chernobyl accident, J. Environ. Psychol., 10, 151–167, <ext-link xlink:href="https://doi.org/10.1016/S0272-4944(05)80125-2" ext-link-type="DOI">10.1016/S0272-4944(05)80125-2</ext-link>, 1990.</mixed-citation></ref>
      <ref id="bib1.bib75"><label>75</label><?label 1?><mixed-citation>Rippl, S.: Cultural theory and risk perception: a proposal for a better
measurement, J. Risk Res., 5, 147–165, <ext-link xlink:href="https://doi.org/10.1080/13669870110042598" ext-link-type="DOI">10.1080/13669870110042598</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bib76"><label>76</label><?label 1?><mixed-citation>Ritchie, H. and Roser, M.: Natural Disasters. Our World in Data, BE
J. Econo. Anal. Poli., 8, 1935–1682, <uri>https://ourworldindata.org/grapher/natural-disaster-death-rates?time=1900..2018&amp;country=~All+natural+disasters</uri> (last access: 26 November​​​​​​​ 2022), 2014.</mixed-citation></ref>
      <ref id="bib1.bib77"><label>77</label><?label 1?><mixed-citation>Rosi, M., Levi, S. T., Pistolesi, M., Bertagnini, A., Brunelli, D., Cannavò, V., Di Renzoni, A., Ferranti, F., Renzulli, A., and Yoon, D.: Geoarchaeological evidence of
middle-age tsunamis at Stromboli and consequences for the tsunami hazard in
the Southern Tyrrhenian Sea, Sci. Rep., 9, 1–10, <ext-link xlink:href="https://doi.org/10.1038/s41598-018-37050-3" ext-link-type="DOI">10.1038/s41598-018-37050-3</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib78"><label>78</label><?label 1?><mixed-citation>Sarconi M.: Istoria de' fenomeni del tremuoto avvenuto nelle Calabrie e nel
Valdemone nell'anno 1783, posta in luce dalla Reale Accademia delle Scienze
e delle Belle Lettere di Napoli, edited by: Campo, G., Napoli, 197 pp., ISBN 8849813236, <uri>http://digital.casalini.it/8849813236</uri> (last access: 26 November​​​​​​​ 2022), 1784 (in Italian).</mixed-citation></ref>
      <ref id="bib1.bib79"><label>79</label><?label 1?><mixed-citation>Šepić, J., Vilibić, I., and Belušić, D.: Source of the
2007 Ist meteotsunami (Adriatic Sea), J. Geophys. Res.-Oceans, 114, 1–14, <ext-link xlink:href="https://doi.org/10.1029/2008JC005092" ext-link-type="DOI">10.1029/2008JC005092</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib80"><label>80</label><?label 1?><mixed-citation>Sillitoe, P.: The development of indigenous knowledge: a new applied
anthropology, Curr. Anthropol., 39, 223–252, <ext-link xlink:href="https://doi.org/10.1086/204722" ext-link-type="DOI">10.1086/204722</ext-link>, 1998.</mixed-citation></ref>
      <ref id="bib1.bib81"><label>81</label><?label 1?><mixed-citation>Slovic, P.: Perception of risk, Science, 236, 280–285, <ext-link xlink:href="https://doi.org/10.1126/science.3563507" ext-link-type="DOI">10.1126/science.3563507</ext-link>, 1987.</mixed-citation></ref>
      <ref id="bib1.bib82"><label>82</label><?label 1?><mixed-citation>Slovic, P.: The risk game, J. Hazard. Mater., 86, 17–24, <ext-link xlink:href="https://doi.org/10.1016/S0304-3894(01)00248-5" ext-link-type="DOI">10.1016/S0304-3894(01)00248-5</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bib83"><label>83</label><?label 1?><mixed-citation>Slovic, P. and Peters, E.: Risk perception and affect, Curr. Dir.
Psychol. Sci., 15, 322–325, <ext-link xlink:href="https://doi.org/10.1111/j.1467-8721.2006.00461.x" ext-link-type="DOI">10.1111/j.1467-8721.2006.00461.x</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib84"><label>84</label><?label 1?><mixed-citation>Slovic, P., Fischhoff, B., and Lichtenstein, S.: Why study risk perception?,
Risk Anal., 2, 83–93, <ext-link xlink:href="https://doi.org/10.1111/j.1539-6924.1982.tb01369.x" ext-link-type="DOI">10.1111/j.1539-6924.1982.tb01369.x</ext-link>, 1982.</mixed-citation></ref>
      <ref id="bib1.bib85"><label>85</label><?label 1?><mixed-citation>Soloviev, S. L., Solovieva, O. N., Go, C. N., Kim, K. S., and Shchetnikov, N. A.: Tsunamis in the Mediterranean Sea 2000 BC–2000 AD, Kluwer Academic Publishers, 237 pp., <ext-link xlink:href="https://doi.org/10.1007/978-94-015-9510-0" ext-link-type="DOI">10.1007/978-94-015-9510-0</ext-link>, 2000.</mixed-citation></ref>
      <ref id="bib1.bib86"><label>86</label><?label 1?><mixed-citation>Sørensen, M. B., Spada, M., Babeyko, A., Wiemer, S., and Grünthal, G.: Probabilistic tsunami hazard in the Mediterranean Sea, J. Geophys. Res., 117, B01305, <ext-link xlink:href="https://doi.org/10.1029/2010JB008169" ext-link-type="DOI">10.1029/2010JB008169</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib87"><label>87</label><?label 1?><mixed-citation>Spahn, H., Hoppe, M., Vidiarina, H. D., and Usdianto, B.: Experience from three years of local capacity development for tsunami early warning in Indonesia: challenges, lessons and the way ahead, Nat. Hazards Earth Syst. Sci., 10, 1411–1429, <ext-link xlink:href="https://doi.org/10.5194/nhess-10-1411-2010" ext-link-type="DOI">10.5194/nhess-10-1411-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib88"><label>88</label><?label 1?><mixed-citation>Student​​​​​​​: The probable error of a mean, Biometrika, 6, 1–25, <ext-link xlink:href="https://doi.org/10.2307/2331554" ext-link-type="DOI">10.2307/2331554</ext-link>, 1908.</mixed-citation></ref>
      <ref id="bib1.bib89"><label>89</label><?label 1?><mixed-citation>Sugimoto, M., Iemura, H., and Shaw, R.: Tsunami height poles and disaster
awareness: Memory, education and awareness of disaster on the reconstruction
for resilient city in Banda Aceh, Indonesia, Disaster Prev. Manag., 19, 527–540, <ext-link xlink:href="https://doi.org/10.1108/09653561011091869" ext-link-type="DOI">10.1108/09653561011091869</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib90"><label>90</label><?label 1?><mixed-citation>Sun, Y., Yamori, K., Tanisawa, R., and Kondo, S.: Consciousness of disaster risk
and tsunami evacuation: a questionnaire survey in Okitsu, Kochi Prefecture,
Journal of Natural Disaster Science, 34, 127–141,
<ext-link xlink:href="https://doi.org/10.2328/jnds.34.127" ext-link-type="DOI">10.2328/jnds.34.127</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib91"><label>91</label><?label 1?><mixed-citation>Sutton, S. A., Paton, D., Buergelt, P., Sagala, S., and Meilianda, E.: Sustaining a Transformative
Disaster Risk Reduction Strategy: Grandmothers' Telling and Singing Tsunami
Stories for over 100 Years Saving Lives on Simeulue Island, Int.
J. Env. Res. Pub. He., 17, 7764, <ext-link xlink:href="https://doi.org/10.3390/ijerph17217764" ext-link-type="DOI">10.3390/ijerph17217764</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib92"><label>92</label><?label 1?><mixed-citation>Sutton, S. A., Paton, D., Buergelt, P., Sagala, S., and Meilianda, E.: Nandong Smong and Tsunami
lullabies: Song and music as an effective communication tool in disaster
risk reduction, Int. J. Disast. Risk Re., 65,
102527, <ext-link xlink:href="https://doi.org/10.1016/j.ijdrr.2021.102527" ext-link-type="DOI">10.1016/j.ijdrr.2021.102527</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib93"><label>93</label><?label 1?><mixed-citation>Tinti, S. and Armigliato, A.: The use of scenarios to evaluate the tsunami
impact in southern Italy, Mar. Geol., 199, 221–243,
<ext-link xlink:href="https://doi.org/10.1016/S0025-3227(03)00192-0" ext-link-type="DOI">10.1016/S0025-3227(03)00192-0</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bib94"><label>94</label><?label 1?><mixed-citation>Triantafyllou, I., Gogou, M., Mavroulis, S., Lekkas, E., Papadopoulos, G. A., and Thravalos, M.: The Tsunami Caused by
the 30 October 2020 Samos (Aegean Sea) Mw7.0 Earthquake: Hydrodynamic
Features, Source Properties and Impact Assessment from Post-EventField
Survey and Video Records, J. Mar. Sci. Eng., 9, 1–31,
<ext-link xlink:href="https://doi.org/10.3390/jmse9010068" ext-link-type="DOI">10.3390/jmse9010068</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib95"><label>95</label><?label 1?><mixed-citation>UNESCO-IOC (Intergovernmental Oceanographic Commission): 10 years of
the north-Eastern Atlantic, the Mediterranean and connected seas Tsunami
Warning and mitigation System (NEAMTWS): accomplishments and challenges in
preparing for the next tsunami, IOC/INF-1340, 59 pp.,
<uri>https://unesdoc.unesco.org/ark:/48223/pf0000247393</uri> (last access: 26 November 2022), 2017.
</mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib96"><label>96</label><?label 1?><mixed-citation>UNESCO-IOC: Tsunami Early Warning and Mitigation System in the North-Eastern
Atlantic, the Mediterranean and Connected Seas (NEAMTWS) 2005–2020, <uri>https://unesdoc.unesco.org/ark:/48223/pf0000373791</uri> (last access: 26 November 2022), 2020.</mixed-citation></ref>
      <ref id="bib1.bib97"><label>97</label><?label 1?><mixed-citation>Valbonesi, C.: Tsunami Ready Programme in NEAM region: strategies, responsibilities and further advancements to protect communities from tsunamis, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11876, <ext-link xlink:href="https://doi.org/10.5194/egusphere-egu22-11876" ext-link-type="DOI">10.5194/egusphere-egu22-11876</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bib98"><label>98</label><?label 1?><mixed-citation>Valbonesi, C., Amato, A., and Cerase, A.: The INGV Tsunami Alert Centre: analysis of the responsibility profiles, procedures and risk communication issues, B. Geofis. Teor. Appl., 60, 359–374, <ext-link xlink:href="https://doi.org/10.4430/bgta0252" ext-link-type="DOI">10.4430/bgta0252</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bib99"><label>99</label><?label 1?><mixed-citation>Valbonesi, C., Amato, A., and Cugliari, L.: Tsunami Ready in Italy: first steps, EGU General Assembly 2021, online, 19–30 April 2021, EGU21-12521, <ext-link xlink:href="https://doi.org/10.5194/egusphere-egu21-12521" ext-link-type="DOI">10.5194/egusphere-egu21-12521</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib100"><label>100</label><?label 1?><mixed-citation>Vilibić, I. and Šepić, J.: Destructive meteotsunamis along the
eastern Adriatic coast: Overview, Phys. Chem. Earth A/B/C, 34, 904–917, <ext-link xlink:href="https://doi.org/10.1016/j.pce.2009.08.004" ext-link-type="DOI">10.1016/j.pce.2009.08.004</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib101"><label>101</label><?label 1?><mixed-citation>
Vivenzio, G.: Historia dei tremuoti avvenuti nella provincia di Calabria
ulteriore e nella città di Messina nell'anno 1783 e di quanto nelle
Calabrie fu fatto per il suo risorgimento fino al 1787, preceduta da una
Teoria, ed Istoria Generale de' Tremuoti, con un Atlante di 21 Tavole.
Stamperia Regale, 2 voll., Napoli, ISBN 8864560920, 1788 (in Italian).</mixed-citation></ref>
      <ref id="bib1.bib102"><label>102</label><?label 1?><mixed-citation>Wachinger, G., Renn, O., Begg, C., and Kuhlicke, C.: The risk perception paradox – implications for governance and communication of natural hazards, Risk Anal., 33, 1049–1065,
<ext-link xlink:href="https://doi.org/10.1111/j.1539-6924.2012.01942.x" ext-link-type="DOI">10.1111/j.1539-6924.2012.01942.x</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib103"><label>103</label><?label 1?><mixed-citation>Wei, H. L., Wu, H. C., Lindell, M. K., Prater, C. S., Shiroshita, H., Johnston, D. M., and Becker, J. S.: Assessment of households'
responses to the tsunami threat: A comparative study of Japan and New
Zealand, Int. J. Disast. Risk Re., 25, 274—282, <ext-link xlink:href="https://doi.org/10.1016/j.ijdrr.2017.09.011" ext-link-type="DOI">10.1016/j.ijdrr.2017.09.011</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib104"><label>104</label><?label 1?><mixed-citation>Wildavsky, A. and Dake, K.: Theories of risk perception: Who fears what and
why?, Daedalus, 119, 41–60, <uri>http://www.jstor.org/stable/20025337</uri> (last access: 26 November 2022), 1990.</mixed-citation></ref>
      <ref id="bib1.bib105"><label>105</label><?label 1?><mixed-citation>Yalçıner, A., Annunziato, A., Papadopoulos, G., Güney-Doğan, G., Gökhan-Güler, H., ErayCakir, T., Özer-Sözdinler, C., Ulutaş, E., Arikawa, T., Süzen, L., Kanoğlu, U., Güler, I., Probst, P., and Synolakis, C.: The 20th July 2017 (22:31 UTC) Bodrum-Kos Earthquake and Tsunami: Post Tsunami Field
Survey Report, <uri>http://www.emsc-csem.org</uri> (last access: 26 November 2022), 2017.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Tsunami risk perception in central and southern Italy</article-title-html>
<abstract-html/>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Akbar, Z., Suryaratri, R. D., Tri, Y., Gumelar, G., and Ariyani, M.: Disaster Risk Perception and Household Disaster Preparedness: Lesson Learned from Tsunami in Banten, in: IOP Conference Series: Earth and Environmental Science, IOP Publishing, 448, 012099, <a href="https://doi.org/10.1088/1755-1315/448/1/012099" target="_blank">https://doi.org/10.1088/1755-1315/448/1/012099</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Alam, E.: Earthquake and tsunami knowledge, risk perception and preparedness
in the SE Bangladesh, J. Geogr. Nat. Disasters, 6, 1–7, <a href="https://doi.org/10.4172/2167-0587.1000154" target="_blank">https://doi.org/10.4172/2167-0587.1000154</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Amato, A.: Some reflections on tsunami early warning systems and their
impact, with a look at the NEAMTWS, Boll. Geofis. Teor. Appl., 61, 403–420, <a href="https://doi.org/10.4430/bgta0329" target="_blank">https://doi.org/10.4430/bgta0329</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Amato, A., Avallone, A., Basili, R., Bernardi, F., Brizuela, B., Graziani, L., Herrero, A., Lorenzino, M. C., Lorito, S., Mele, F. M., Michelini, A., Piatanesi, A., Pintore, S., Romano, F., Selva, J., Stramondo, S., Tonini, R., and Volpe, M.: From seismic monitoring to tsunami
warning in the mediterranean sea, Seismol. Res. Lett., 92,
1796–1816, <a href="https://doi.org/10.1785/0220200437" target="_blank">https://doi.org/10.1785/0220200437</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Apatu, E. J., Gregg, C. E., Wood, N. J., and Wang, L.: Household evacuation characteristics in American Samoa during the 2009 Samoa Islands tsunami, Disasters, 40, 779–798, <a href="https://doi.org/10.1111/disa.12170" target="_blank">https://doi.org/10.1111/disa.12170</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Arias, J. P., Bronfman, N. C., Cisternas, P. C., and Repetto, P. B.: Hazard proximity
and risk perception of tsunamis in coastal cities: Are people able to
identify their risk?, PLoS one, 12, e0186455, <a href="https://doi.org/10.1371/journal.pone.0186455" target="_blank">https://doi.org/10.1371/journal.pone.0186455</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Arunotai, N.: Saved by an old legend and a keen observation: The case of
Moken sea nomads in Thailand, in: Indigenous Knowledge for Disaster Risk Reduction: Good Practices and Lessons Learnt from the Asia-Pacific Region, edited by: Shaw, R., Uy, N., and Baumwoll, J., UNISDR Asia and
Pacific, Bangkok, 73–78, <a href="https://www.unisdr.org/files/3646_IndigenousKnowledgeDRR.pdf" target="_blank"/> (last access: 26 November 2022), 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Basili, R., Brizuela, B., Herrero, A., Iqbal, S., Lorito, S., Maesano, F. E., Murphy, S., Perfetti, P., Romano, F., Scala, A., Selva, J., Taroni, M., Thio, H. K., Tiberti, M. M., Tonini, R., Volpe, M., Glimsdal, S., Harbitz, C. B., Løvholt, F., Baptista, M. A., Carrilho, F., Matias, L. M., Omira, R., Babeyko, A., Hoechner, A., Gurbuz, M., Pekcan, O., Yalçıner, A., Canals, M., Lastras, G., Agalos, A., Papadopoulos, G., Triantafyllou, I., Benchekroun, S., Agrebi Jaouadi, H., Attafi, K., Ben Abdallah, S., Bouallegue, A., Hamdi, H., and Oueslati, F.: NEAMTHM18 Documentation: the making of the TSUMAPS-NEAM Tsunami Hazard Model 2018, Istituto Nazionale di Geofisica e Vulcanologia (INGV), Zenodo, <a href="https://doi.org/10.5281/zenodo.3406625" target="_blank">https://doi.org/10.5281/zenodo.3406625</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Basili, R., Brizuela, B., Herrero, A., Iqbal, S., Lorito, S., Maesano, F. E., Murphy, S., Perfetti, P., Romano, F., Scala, A., Selva, J., Taroni, M., Tiberti, M. M., Thio, H. K., Tonini, R., Volpe, M., Glimsdal, S., Harbitz, C. B., Løvholt, F., Baptista, M. A., Carrilho, F., Matias, L. M., Omira, R., Babeyko, A., Hoechner, A., Gürbüz, M., Pekcan, O., Yalçıner, A., Canals, M., Lastras, G., Agalos, A., Papadopoulos, G., Triantafyllou, I., Benchekroun, S., Agrebi, Jaouadi, H., Ben Abdallah, S., Bouallegue, A., Hamdi, H., Oueslati, F., Amato, A., Armigliato, A., Behrens, J., Davies, G., Di Bucci, D., Dolce, M., Geist, E., Gonzalez Vida, J. M., González, M., Macías Sánchez, J., Meletti, C., Ozer Sozdinler, C., Pagani, M., Parsons, T., Polet, J., Power, W., Sørensen, M., and Zaytsev, A.: The Making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18), Front. Earth Sci., 8, 616594, <a href="https://doi.org/10.3389/feart.2020.616594" target="_blank">https://doi.org/10.3389/feart.2020.616594</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
Behrens, J., Løvholt, F., Jalayer, F., Lorito, S., Salgado-Gálvez, M. A., Sørensen, M., Abadie, S., Aguirre-Ayerbe, I., Aniel-Quiroga, I., Babeyko, A., Baiguera, M., Basili, R., Belliazzi, S., Grezio, A., Johnson, K., Murphy, S., Paris, R., Rafliana, I., De Risi, R., Rossetto, T., Selva, J., Taroni, M., Del Zoppo, M., Armigliato, A., Bureš, V., Cech, P., Cecioni, C., Christodoulides, P., Davies, G., Dias, F., Bayraktar, H. B., González, M., Gritsevich, M., Guillas, S., Harbitz, C. B., Kânoǧlu, U., Macías, J., Papadopoulos, G. A., Polet, J., Romano, F., Salamon, A., Scala, A., Stepinac, M., Tappin, D. R., Thio, H. K., Tonini, R., Triantafyllou, I., Ulrich, T., Varini, E., Volpe, M., and Vyhmeister, E.: Probabilistic tsunami
hazard and risk analysis: a review of research gaps, Front. Earth
Sci., 9, 628772, <a href="https://doi.org/10.3389/feart.2021.628772" target="_blank">https://doi.org/10.3389/feart.2021.628772</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
Bonaiuto, M., Alves, S., De Dominicis, S., and Petruccelli, I.: Place attachment and natural hazard risk: Research review and agenda, J. Environ. Psychol., 48, 33–53, <a href="https://doi.org/10.1016/j.jenvp.2016.07.007" target="_blank">https://doi.org/10.1016/j.jenvp.2016.07.007</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Boschi, E., Guidoboni, E., Ferrari, G., Mariotti, D., Valensise, G., and Gasperini, P.: Catalogue of Strong Italian Earthquakes from 461&thinsp;BC to 1997, Appendix to volume 43, No. 4, 2000, Ann. Geophys.-Italy, 43, 609–868, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Brokensha, D. W., Warren, D. M., and Werner, O.: Indigenous knowledge
systems and development, University Press of America, Washington D.C., ISBN 9780819111029, 1980.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Buylova, A., Chen, C., Cramer, L. A., Wang, H., and Cox, D. T.: Household risk perceptions and
evacuation intentions in earthquake and tsunami in a Cascadia Subduction
Zone, Int. J. Disast. Risk Re., 44, 101442, <a href="https://doi.org/10.1016/j.ijdrr.2019.101442" target="_blank">https://doi.org/10.1016/j.ijdrr.2019.101442</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Cerase, A., Crescimbene, M., La Longa, F., and Amato, A.: Tsunami risk perception in southern Italy: first evidence from a sample survey, Nat. Hazards Earth Syst. Sci., 19, 2887–2904, <a href="https://doi.org/10.5194/nhess-19-2887-2019" target="_blank">https://doi.org/10.5194/nhess-19-2887-2019</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Cirella, A., Romano, F., Avallone, A., Piatanesi, A., Briole, P., Ganas, A., Theodoulidis, N., Chousianitis, K., Volpe, M., Bozionellos, G., Selvaggi, G., and Lorito, S.: The 2018 Mw 6.8 Zakynthos (Ionian Sea, Greece) earthquake: Seismic source and local tsunami characterization, Geophys. J. Int., 221, 1043–1054, <a href="https://doi.org/10.1093/gji/ggaa053" target="_blank">https://doi.org/10.1093/gji/ggaa053</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
Cohen, E.: Tourism and land grab in the aftermath of the Indian Ocean
tsunami, Scand. J. Hosp. Tour., 11, 224–236,
<a href="https://doi.org/10.1080/15022250.2011.593359" target="_blank">https://doi.org/10.1080/15022250.2011.593359</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Collet, I. and Engelbert, A.: Eurostat: General and regional statistics, Catalogue number: KS-SF-13-030-EN-N, ISSN 2314-9647, <a href="http://ec.europa.eu/eurostat/statistics-explained/index.php/Archive:Coastal_regions_-_population_statistics" target="_blank"/> (last access: 26 November 2022), 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Cronbach, L. J.: Coefficient alpha and the internal structure of tests,
Psychometrika, 16, 297–334, <a href="https://doi.org/10.1007/BF02310555" target="_blank">https://doi.org/10.1007/BF02310555</a>, 1951.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
Cronbach, L. J.: Internal consistency of tests: Analyses old and new,
Psychometrika, 53, 63–70, <a href="https://doi.org/10.1007/BF02294194" target="_blank">https://doi.org/10.1007/BF02294194</a>, 1988.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Dawson, A. G., Lockett, P., and Shi, S.: Tsunami hazards in Europe,
Environ. Int., 30, 577–585, <a href="https://doi.org/10.1016/j.envint.2003.10.005" target="_blank">https://doi.org/10.1016/j.envint.2003.10.005</a>, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Dekens, J.: Local knowledge for disaster preparedness: A literature review,
International Centre for Integrated Mountain Development (ICIMOD),
Kathmandu, <a href="https://doi.org/10.53055/ICIMOD.474" target="_blank">https://doi.org/10.53055/ICIMOD.474</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
DePippo, T., Donadio, C., Pennetta, M., Petrosino, C., Terlizzi, F., and Valente, A.: Coastal hazard assessment
and mapping in Northern Campania, Italy, Geomorphology, 97, 451–466,
<a href="https://doi.org/10.1016/j.geomorph.2007.08.015" target="_blank">https://doi.org/10.1016/j.geomorph.2007.08.015</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Dogan, G. G., Annunziato, A., Papadopoulos, G. A., Guler, H. G., Yalciner, A. C., Cakir, T. E., Sozdinler, C. O., Ulutas, E., Arikawa, T., Suzen, M. L., Guler, I., Probst, P., Kânoğlu, U., and Synolakis, C.: The 20th July
2017 Bodrum–Kos Tsunami Field Survey, Pure Appl. Geophys., 176,
2925–2949, <a href="https://doi.org/10.1007/s00024-019-02151-1" target="_blank">https://doi.org/10.1007/s00024-019-02151-1</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
Dogan, G. G., Yalciner, A. C., Yuksel, Y., Ulutaş, E., Polat, O., Güler, I., Şahin, C., Tarih, A., and Kânoğlu, U.: The 30 October 2020
Aegean Sea Tsunami: Post-Event Field Survey Along Turkish Coast, Pure Appl.
Geophys., 178, 785–812, <a href="https://doi.org/10.1007/s00024-021-02693-3" target="_blank">https://doi.org/10.1007/s00024-021-02693-3</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>26</label><mixed-citation>
Dogulu, N., Karanci, N., and Lavigne, F.: Review of the existing work on
tsunami resilient communities and identification of key indicators and
gaps, ASTARTE Deliverable, report, 9, <a href="https://doi.org/10.13140/RG.2.1.2412.5922" target="_blank">https://doi.org/10.13140/RG.2.1.2412.5922</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation>
Douglas, M. and Wildavsky, A.: How can we know the risks we face? Why risk
selection is a social process 1, Risk Anal., 2, 49–58, <a href="https://doi.org/10.1111/j.1539-6924.1982.tb01365.x" target="_blank">https://doi.org/10.1111/j.1539-6924.1982.tb01365.x</a>, 1982.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>28</label><mixed-citation>
EMDAT: Natural Disasters: Number of deaths by type of natural disaster, Int. Disaster Database, Univ. Cathol. Louvain. Bruselas, Belgica, <a href="https://www.emdat.be/" target="_blank"/>​​​, (last access: 28 November 2022), 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation>
Fernando, J. L.: NGOs and production of indigenous knowledge under the
condition of postmodernity, Ann. Am. Acad. Polit. S. S., 590, 54–72, <a href="https://doi.org/10.1177/0002716203258374" target="_blank">https://doi.org/10.1177/0002716203258374</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation>
Flavier, J. M., Jesus, A. D., and Navarro, C. S.: The regional program for
the promotion of indigenous knowledge in Asia. The cultural dimension of
development: indigenous knowledge systems, Intermediate Technology Publications, London, 479–487, ISBN 9781853392511, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>31</label><mixed-citation>
Fraser, S. A., Doyle, E. E., Wright, K. C., Potter, S. H., McClure, J., Johnston, D. M., Leonard, G. S., Coomer, M. A., Becker, J. S., and Johal, S.: Tsunami response
behaviour during and following two local-source earthquakes in Wellington,
New Zealand, Int. J. Disast. Risk Re., 16, 123–133,
<a href="https://doi.org/10.1016/j.ijdrr.2016.02.008" target="_blank">https://doi.org/10.1016/j.ijdrr.2016.02.008</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>32</label><mixed-citation>
Garnier, E. and Lahournat, F.: Japanese stone monuments and disaster
memory–perspectives for DRR, Disaster Prev. Manag. Int. J., 31, 1–12,
<a href="https://doi.org/10.1108/DPM-03-2021-0089" target="_blank">https://doi.org/10.1108/DPM-03-2021-0089</a>, 2022.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>33</label><mixed-citation>
Goeldner-Gianella, L., Grancher, D., Robertsen, Ø., Anselme, B., Brunstein, D., and Lavigne, F.: Perception of the risk of tsunami in a context of high-level risk assessment and management: the case of the fjord Lyngen in Norway, Geoenviron. Disasters, 4, 1–15, <a href="https://doi.org/10.1186/s40677-017-0068-y" target="_blank">https://doi.org/10.1186/s40677-017-0068-y</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>34</label><mixed-citation>
Gravina, T., Nicola, M., Luca, F., and Pierfrancesco, C.: Tsunami risk perception along the
Tyrrhenian coasts of Southern Italy: the case of Marsili volcano, Nat.
Hazards, 97, 437–454, <a href="https://doi.org/10.1007/s11069-019-03652-x" target="_blank">https://doi.org/10.1007/s11069-019-03652-x</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>35</label><mixed-citation>
Gregg, C. E., Houghton, B. F., Paton, D., Lachman, R., Lachman, J., Johnston, D. M., and Wongbusarakum, S.: Natural warning signs of
tsunamis: human sensory experience and response to the 2004 great Sumatra
earthquake and tsunami in Thailand, Earthq. Spectra, 22, 671–691, <a href="https://doi.org/10.1193/1.2206791" target="_blank">https://doi.org/10.1193/1.2206791</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>36</label><mixed-citation>
Grezio, A., Gasparini, P., Marzocchi, W., Patera, A., and Tinti, S.: Tsunami risk assessments in Messina, Sicily – Italy, Nat. Hazards Earth Syst. Sci., 12, 151–163, <a href="https://doi.org/10.5194/nhess-12-151-2012" target="_blank">https://doi.org/10.5194/nhess-12-151-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>37</label><mixed-citation>
Ho, M., Shaw, D., Shuyeu, L., and Yao-Chu, C.: How do disaster characteristics influence risk perception?, Risk Anal., 28, 635–643, <a href="https://doi.org/10.1111/j.1539-6924.2008.01040.x" target="_blank">https://doi.org/10.1111/j.1539-6924.2008.01040.x</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>38</label><mixed-citation>
ISTAT: Rapporto annuale 2020, La situazione del paese, Report, <a href="https://www.istat.it/it/archivio/244848" target="_blank"/> (last access: 4 July 2022), 2020a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>39</label><mixed-citation>
ISTAT: Rapporto sul territorio, 2020, Ambiente, Economia e Società, Report, <a href="https://doi.org/10.1481/Istat.RapportoTerritorio.2020" target="_blank">https://doi.org/10.1481/Istat.RapportoTerritorio.2020</a>, 2020b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>40</label><mixed-citation>
ISTAT: Demografia in cifre, ISTAT, Rome, Italy, ISBN 978-88-458-2066-3, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>41</label><mixed-citation>
Jon, I., Lindell, M. K., Prater, C. S., Huang, S. K., Wu, H. C., Johnston, D. M., Becker, J. S., Shiroshita, H., Doyle, E. E. H., and Potter, S. H.: Behavioral Response in the
Immediate Aftermath of Shaking: Earthquakes in Christchurch and Wellington,
New Zealand, and Hitachi, Japan, Int. J. Env. Res. Pub. He., 13, 1137, <a href="https://doi.org/10.3390/ijerph13111137" target="_blank">https://doi.org/10.3390/ijerph13111137</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>42</label><mixed-citation>
Kalligeris, N., Skanavis, V., Melis, N. S., Okal, E. A., Dimitroulia, A.,
Charalampakis, M., Lynett, P. J., and Synolakis, C. E.: The Mw&thinsp; = &thinsp;6.6 earthquake and tsunami of south Crete on 2020 May 2, Geophys. J.
Int., 230, 480–506, 2022.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>43</label><mixed-citation>
Kurita, T., Arakida, M., and Colombage, S. R.: Regional characteristics of
tsunami risk perception among the tsunami affected countries in the Indian
Ocean, Journal of Natural Disaster Science, 29, 29–38, <a href="https://doi.org/10.2328/jnds.29.29" target="_blank">https://doi.org/10.2328/jnds.29.29</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>44</label><mixed-citation>
Lindell, M. K. and Perry, R. W.: Household Adjustment to Earthquake Hazard: A Review of Research, Environ. Behav., 32, 461–501, <a href="https://doi.org/10.1177/00139160021972621" target="_blank">https://doi.org/10.1177/00139160021972621</a>, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>45</label><mixed-citation>
Lindell, M. K., Prater, C. S., Gregg, C. E., Apatu, E., Huang, S. K., and Wu, H. C.: Households' immediate
responses to the 2009 American Samoa Earthquake and Tsunami, Int.
J. Disast. Risk Re., 12, 328–340, <a href="https://doi.org/10.1016/j.ijdrr.2015.03.003" target="_blank">https://doi.org/10.1016/j.ijdrr.2015.03.003</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>46</label><mixed-citation>
Lindell, M. K., Prater, C. S., Wu, H. C., Huang, S. K., Johnston, D. M., Becker, J. S., and Shiroshita, H.: Immediate behavioural
responses to earthquakes in Christchurch, New Zealand, and Hitachi, Japan,
Disasters, 40, 85–111, <a href="https://doi.org/10.1111/disa.12133" target="_blank">https://doi.org/10.1111/disa.12133</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>47</label><mixed-citation>
Liu, Y., Yu, J., Yin, Q., Sun, C., and Sun, A.: Impacts of human factors on evacuation performance in university gymnasiums, Physica A, 582, 126236,
<a href="https://doi.org/10.1016/j.physa.2021.126236" target="_blank">https://doi.org/10.1016/j.physa.2021.126236</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>48</label><mixed-citation>
Løvholt, F., Setiadi, N., Birkmann, J., Harbitz, C., Bach, C., Fernando, N., Kaiser, G., and Nadim, F.: Tsunami risk reduction – are we better prepared today than in 2004?, Int. J. Disast. Risk Re., 10, 127–142, <a href="https://doi.org/10.1016/j.ijdrr.2014.07.008" target="_blank">https://doi.org/10.1016/j.ijdrr.2014.07.008</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>49</label><mixed-citation>
Maramai, A., Brizuela, B., and Graziani, L.: The Euro-Mediterranean tsunami
catalogue, Ann. Geophys.-Italy, 57, S0435, <a href="https://doi.org/10.4401/ag-6437" target="_blank">https://doi.org/10.4401/ag-6437</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>50</label><mixed-citation>
Maramai A., Graziani L., and Brizuela B.: Italian Tsunami Effects Database
(ITED), Istituto Nazionale di Geofisica e Vulcanologia (INGV), <a href="https://doi.org/10.13127/tsunami/ited.1.0" target="_blank">https://doi.org/10.13127/tsunami/ited.1.0</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>51</label><mixed-citation>
Maramai, A., Graziani, L., and Brizuela, B.: Italian tsunami effects
database (ITED): the first database of tsunami effects observed along the
Italian coasts, Front. Earth Sci., 9, 596044, <a href="https://doi.org/10.3389/feart.2021.596044" target="_blank">https://doi.org/10.3389/feart.2021.596044</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>52</label><mixed-citation>
Maramai, A., Brizuela, B., and Graziani, L.: A Database for Tsunamis and
Meteotsunamis in the Adriatic Sea, Appl. Sci., 12, 5577,
<a href="https://doi.org/10.3390/app12115577" target="_blank">https://doi.org/10.3390/app12115577</a>, 2022.
</mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>53</label><mixed-citation>
Martin, W. E., Martin, I. M., and Kent, B.: The role of risk perceptions in
the risk mitigation process: the case of wildfire in high risk communities,
J. Environ. Manage., 91, 489–498, <a href="https://doi.org/10.1016/j.jenvman.2009.09.007" target="_blank">https://doi.org/10.1016/j.jenvman.2009.09.007</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>54</label><mixed-citation>
Mauelshagen, F.: Flood disasters and political culture at the German North
Sea coast: a long-term historical perspectiv, Hist. Soc. Res., 32, 133–144, <a href="https://doi.org/10.12759/hsr.32.2007.3.133-144" target="_blank">https://doi.org/10.12759/hsr.32.2007.3.133-144</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>55</label><mixed-citation>
McAdoo, B. G., Dengler, L., Prasetya, G., and Titov, V.: Smong: How an oral history
saved thousands on Indonesia's Simeulue Island during the December 2004 and
March 2005 tsunamis, Earthq. Spectra, 22, 661–669, <a href="https://doi.org/10.1193/1.2204966" target="_blank">https://doi.org/10.1193/1.2204966</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>56</label><mixed-citation>
McIvor, O., Napoleon, A., and Dickie, K. M.: Language and culture as
protective factors for at-risk communities, International Journal of
Indigenous Health, 5, 6–25, <a href="https://doi.org/10.18357/ijih51200912327" target="_blank">https://doi.org/10.18357/ijih51200912327</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>57</label><mixed-citation>
McNeill, I. M., Dunlop, P. D., Heath, J. B., Skinner, T. C., and Morrison, D. L.: Expecting the
unexpected: Predicting physiological and psychological wildfire preparedness
from perceived risk, responsibility, and obstacles, Risk Anal., 33,
1829–1843, <a href="https://doi.org/10.1111/risa.12037" target="_blank">https://doi.org/10.1111/risa.12037</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>58</label><mixed-citation>
Mercer, J., Dominey-Howes, D., Kelman, I., and Lloyd, K.: The potential for combining indigenous and western knowledge in reducing vulnerability to environmental hazards in small island developing states, Environ. Hazards, 7, 245–256, <a href="https://doi.org/10.1016/j.envhaz.2006.11.001" target="_blank">https://doi.org/10.1016/j.envhaz.2006.11.001</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>59</label><mixed-citation>
Mercer, J., Kelman, I., Taranis, L., and Suchet‐Pearson, S.: Framework for integrating
indigenous and scientific knowledge for disaster risk reduction, Disasters,
34, 214–239, <a href="https://doi.org/10.1111/j.1467-7717.2009.01126.x" target="_blank">https://doi.org/10.1111/j.1467-7717.2009.01126.x</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>60</label><mixed-citation>
Moscovici, S.: La psychoanalyse, son immage et son publique, Paris, PUF,
<a href="https://doi.org/10.2307/3319763" target="_blank">https://doi.org/10.2307/3319763</a>, 1961.
</mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>61</label><mixed-citation>
Moscovici, S.: Social influence and social change, London, Accademic Press,
trad.it, Psicologia delle minoranze attive, Torino, Boringhieri, in
Palmonari, A. (1995), Processi simbolici e dinamiche sociali, Bologna, Il
Mulino, ISBN 0125084501, 1976.
</mixed-citation></ref-html>
<ref-html id="bib1.bib62"><label>62</label><mixed-citation>
Musacchio, G., Eva, E., Crescimbene, M., Pino, N. A., and Cugliari, L.: A protocol to communicate seismic risk in schools: design, test and assessment in Italy, Ann. Geophys.-Italy, 64, 1-22, <a href="https://doi.org/10.4401/ag-8533" target="_blank">https://doi.org/10.4401/ag-8533</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib63"><label>63</label><mixed-citation>
National Geophysical Data Center/World Data Service (NCEI/WDS): NCEI/WDS global historical tsunami database. National Oceanic and Atmospheric
Administration, National Centers for Environmental Information, <a href="https://doi.org/10.7289/V5PN93H7" target="_blank">https://doi.org/10.7289/V5PN93H7</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib64"><label>64</label><mixed-citation>
Necmioğlu, Ö., Turhan, F., Özer Sözdinler, C., Yılmazer, M., Güneş, Y., Cambaz, M. D., Altuncu Poyraz, S., Ergün, T., Kalafat, D., and Özener, H.​​​​​​​:
KOERI's tsunami warning system in the eastern mediterranean and its
connected seas: a decade of achievements and challenges, Appl. Sci.,
11, 11247, <a href="https://doi.org/10.3390/app112311247" target="_blank">https://doi.org/10.3390/app112311247</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib65"><label>65</label><mixed-citation>
Nunnally, J. C.: Psychometric theory – 25 years ago and now, Educ.
Researcher, 4, 7–21, <a href="https://doi.org/10.3102/0013189X004010007" target="_blank">https://doi.org/10.3102/0013189X004010007</a>, 1975.
</mixed-citation></ref-html>
<ref-html id="bib1.bib66"><label>66</label><mixed-citation>
Oktari, R. S., Shiwaku, K., Munadi, K., and Shaw, R.: Enhancing community resilience towards disaster: The contributing factors of school-community collaborative network in the tsunami affected area in Aceh, Int. J. Disast. Risk Re., 29, 3–12,
<a href="https://doi.org/10.1016/j.ijdrr.2017.07.009" target="_blank">https://doi.org/10.1016/j.ijdrr.2017.07.009</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib67"><label>67</label><mixed-citation>
Papadopoulos, G. A., Gràcia, E., Urgeles, R., Sallares, V., De Martini, P. C., Pantosti, D., González, M., Yalciner, A. C., Mascle, J., Sakellariou, D., Salamon, A,  Tinti, S., Karastathis, V., Fokaefs, A., Camerlenghi, A., Novikova, T., and Papageorgiou, A.: Historical and
pre-historical tsunamis in the Mediterranean and its connected seas:
Geological signatures, generation mechanisms and coastal impacts, Mar.
Geol., 354, 81–109, <a href="https://doi.org/10.1016/j.margeo.2014.04.014" target="_blank">https://doi.org/10.1016/j.margeo.2014.04.014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib68"><label>68</label><mixed-citation>
Paton, D., Sagala, S., Okada, N., Jang, L. J., Bürgelt, P. T., and Gregg, C. E.: Making sense of natural hazard
mitigation: Personal, social and cultural influences, Environ. Hazards,
9, 183–196, <a href="https://doi.org/10.3763/ehaz.2010.0039" target="_blank">https://doi.org/10.3763/ehaz.2010.0039</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib69"><label>69</label><mixed-citation>
Peterson, R.: A Meta-Analysis of Cronbach's Coefficient Alpha, J.
Consum. Res., 21, 381–391, <a href="https://doi.org/10.1086/209405" target="_blank">https://doi.org/10.1086/209405</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib70"><label>70</label><mixed-citation>
Petrarca, F.: Letters on Familiar Matters (Rerum Familiarium Libri): Vol.  1: Books I–VIII, translated by: Bernardo, A. S., Italica Press, New York, NY, <a href="https://doi.org/10.2307/j.ctt1tqxw4s" target="_blank">https://doi.org/10.2307/j.ctt1tqxw4s</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib71"><label>71</label><mixed-citation>
Rafliana, I., Jalayer, F., Cerase, A., Cugliari, L., Baiguera, M., Salmanidou, D., Necmioğlu, Ö., Aguirre Ayerbe, I., Lorito, S., Fraser, S., Løvholt, F., Babeyko, A., Salgado-Gálvez, M. A., Selva, J., De Risi, R., Sørensen, M. B., Behrens, J., Aniel-Quiroga, I., Del Zoppo, M., Belliazzi, S., Pranantyo, I. R., Amato, A., and Hancilar, U.: Tsunami risk communication and management: Contemporary gaps and challenges, Int. J. Disast. Risk Re., 70, 1–30, <a href="https://doi.org/10.1016/j.ijdrr.2021.102771" target="_blank">https://doi.org/10.1016/j.ijdrr.2021.102771</a>, 2022.
</mixed-citation></ref-html>
<ref-html id="bib1.bib72"><label>72</label><mixed-citation>
Rahman, A., Sakurai, A., and Munadi, K.: Indigenous knowledge management to
enhance community resilience to tsunami risk: Lessons learned from Smong
traditions in Simeulue island, Indonesia, in: IOP Conference series: earth
and environmental science, IOP Publishing, 56, 012018,
<a href="https://doi.org/10.1088/1755-1315/56/1/012018" target="_blank">https://doi.org/10.1088/1755-1315/56/1/012018</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib73"><label>73</label><mixed-citation>
Rahman, A., Sakurai, A., and Munadi, K.: The analysis of the development of
the Smong story on the 1907 and 2004 Indian Ocean tsunamis in strengthening
the Simeulue island community's resilience, Int. J. Disast. Risk Re., 29, 13–23, <a href="https://doi.org/10.1016/j.ijdrr.2017.07.015" target="_blank">https://doi.org/10.1016/j.ijdrr.2017.07.015</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib74"><label>74</label><mixed-citation>
Renn, O.: Public responses to the Chernobyl accident, J. Environ. Psychol., 10, 151–167, <a href="https://doi.org/10.1016/S0272-4944(05)80125-2" target="_blank">https://doi.org/10.1016/S0272-4944(05)80125-2</a>, 1990.
</mixed-citation></ref-html>
<ref-html id="bib1.bib75"><label>75</label><mixed-citation>
Rippl, S.: Cultural theory and risk perception: a proposal for a better
measurement, J. Risk Res., 5, 147–165, <a href="https://doi.org/10.1080/13669870110042598" target="_blank">https://doi.org/10.1080/13669870110042598</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib76"><label>76</label><mixed-citation>
Ritchie, H. and Roser, M.: Natural Disasters. Our World in Data, BE
J. Econo. Anal. Poli., 8, 1935–1682, <a href="https://ourworldindata.org/grapher/natural-disaster-death-rates?time=1900..2018&amp;country=~All+natural+disasters" target="_blank"/> (last access: 26 November​​​​​​​ 2022), 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib77"><label>77</label><mixed-citation>
Rosi, M., Levi, S. T., Pistolesi, M., Bertagnini, A., Brunelli, D., Cannavò, V., Di Renzoni, A., Ferranti, F., Renzulli, A., and Yoon, D.: Geoarchaeological evidence of
middle-age tsunamis at Stromboli and consequences for the tsunami hazard in
the Southern Tyrrhenian Sea, Sci. Rep., 9, 1–10, <a href="https://doi.org/10.1038/s41598-018-37050-3" target="_blank">https://doi.org/10.1038/s41598-018-37050-3</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib78"><label>78</label><mixed-citation>
Sarconi M.: Istoria de' fenomeni del tremuoto avvenuto nelle Calabrie e nel
Valdemone nell'anno 1783, posta in luce dalla Reale Accademia delle Scienze
e delle Belle Lettere di Napoli, edited by: Campo, G., Napoli, 197 pp., ISBN 8849813236, <a href="http://digital.casalini.it/8849813236" target="_blank"/> (last access: 26 November​​​​​​​ 2022), 1784 (in Italian).
</mixed-citation></ref-html>
<ref-html id="bib1.bib79"><label>79</label><mixed-citation>
Šepić, J., Vilibić, I., and Belušić, D.: Source of the
2007 Ist meteotsunami (Adriatic Sea), J. Geophys. Res.-Oceans, 114, 1–14, <a href="https://doi.org/10.1029/2008JC005092" target="_blank">https://doi.org/10.1029/2008JC005092</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib80"><label>80</label><mixed-citation>
Sillitoe, P.: The development of indigenous knowledge: a new applied
anthropology, Curr. Anthropol., 39, 223–252, <a href="https://doi.org/10.1086/204722" target="_blank">https://doi.org/10.1086/204722</a>, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib81"><label>81</label><mixed-citation>
Slovic, P.: Perception of risk, Science, 236, 280–285, <a href="https://doi.org/10.1126/science.3563507" target="_blank">https://doi.org/10.1126/science.3563507</a>, 1987.
</mixed-citation></ref-html>
<ref-html id="bib1.bib82"><label>82</label><mixed-citation>
Slovic, P.: The risk game, J. Hazard. Mater., 86, 17–24, <a href="https://doi.org/10.1016/S0304-3894(01)00248-5" target="_blank">https://doi.org/10.1016/S0304-3894(01)00248-5</a>, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib83"><label>83</label><mixed-citation>
Slovic, P. and Peters, E.: Risk perception and affect, Curr. Dir.
Psychol. Sci., 15, 322–325, <a href="https://doi.org/10.1111/j.1467-8721.2006.00461.x" target="_blank">https://doi.org/10.1111/j.1467-8721.2006.00461.x</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib84"><label>84</label><mixed-citation>
Slovic, P., Fischhoff, B., and Lichtenstein, S.: Why study risk perception?,
Risk Anal., 2, 83–93, <a href="https://doi.org/10.1111/j.1539-6924.1982.tb01369.x" target="_blank">https://doi.org/10.1111/j.1539-6924.1982.tb01369.x</a>, 1982.
</mixed-citation></ref-html>
<ref-html id="bib1.bib85"><label>85</label><mixed-citation>
Soloviev, S. L., Solovieva, O. N., Go, C. N., Kim, K. S., and Shchetnikov, N. A.: Tsunamis in the Mediterranean Sea 2000&thinsp;BC–2000&thinsp;AD, Kluwer Academic Publishers, 237 pp., <a href="https://doi.org/10.1007/978-94-015-9510-0" target="_blank">https://doi.org/10.1007/978-94-015-9510-0</a>, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib86"><label>86</label><mixed-citation>
Sørensen, M. B., Spada, M., Babeyko, A., Wiemer, S., and Grünthal, G.: Probabilistic tsunami hazard in the Mediterranean Sea, J. Geophys. Res., 117, B01305, <a href="https://doi.org/10.1029/2010JB008169" target="_blank">https://doi.org/10.1029/2010JB008169</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib87"><label>87</label><mixed-citation>
Spahn, H., Hoppe, M., Vidiarina, H. D., and Usdianto, B.: Experience from three years of local capacity development for tsunami early warning in Indonesia: challenges, lessons and the way ahead, Nat. Hazards Earth Syst. Sci., 10, 1411–1429, <a href="https://doi.org/10.5194/nhess-10-1411-2010" target="_blank">https://doi.org/10.5194/nhess-10-1411-2010</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib88"><label>88</label><mixed-citation>
Student​​​​​​​: The probable error of a mean, Biometrika, 6, 1–25, <a href="https://doi.org/10.2307/2331554" target="_blank">https://doi.org/10.2307/2331554</a>, 1908.
</mixed-citation></ref-html>
<ref-html id="bib1.bib89"><label>89</label><mixed-citation>
Sugimoto, M., Iemura, H., and Shaw, R.: Tsunami height poles and disaster
awareness: Memory, education and awareness of disaster on the reconstruction
for resilient city in Banda Aceh, Indonesia, Disaster Prev. Manag., 19, 527–540, <a href="https://doi.org/10.1108/09653561011091869" target="_blank">https://doi.org/10.1108/09653561011091869</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib90"><label>90</label><mixed-citation>
Sun, Y., Yamori, K., Tanisawa, R., and Kondo, S.: Consciousness of disaster risk
and tsunami evacuation: a questionnaire survey in Okitsu, Kochi Prefecture,
Journal of Natural Disaster Science, 34, 127–141,
<a href="https://doi.org/10.2328/jnds.34.127" target="_blank">https://doi.org/10.2328/jnds.34.127</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib91"><label>91</label><mixed-citation>
Sutton, S. A., Paton, D., Buergelt, P., Sagala, S., and Meilianda, E.: Sustaining a Transformative
Disaster Risk Reduction Strategy: Grandmothers' Telling and Singing Tsunami
Stories for over 100 Years Saving Lives on Simeulue Island, Int.
J. Env. Res. Pub. He., 17, 7764, <a href="https://doi.org/10.3390/ijerph17217764" target="_blank">https://doi.org/10.3390/ijerph17217764</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib92"><label>92</label><mixed-citation>
Sutton, S. A., Paton, D., Buergelt, P., Sagala, S., and Meilianda, E.: Nandong Smong and Tsunami
lullabies: Song and music as an effective communication tool in disaster
risk reduction, Int. J. Disast. Risk Re., 65,
102527, <a href="https://doi.org/10.1016/j.ijdrr.2021.102527" target="_blank">https://doi.org/10.1016/j.ijdrr.2021.102527</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib93"><label>93</label><mixed-citation>
Tinti, S. and Armigliato, A.: The use of scenarios to evaluate the tsunami
impact in southern Italy, Mar. Geol., 199, 221–243,
<a href="https://doi.org/10.1016/S0025-3227(03)00192-0" target="_blank">https://doi.org/10.1016/S0025-3227(03)00192-0</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib94"><label>94</label><mixed-citation>
Triantafyllou, I., Gogou, M., Mavroulis, S., Lekkas, E., Papadopoulos, G. A., and Thravalos, M.: The Tsunami Caused by
the 30 October 2020 Samos (Aegean Sea) Mw7.0 Earthquake: Hydrodynamic
Features, Source Properties and Impact Assessment from Post-EventField
Survey and Video Records, J. Mar. Sci. Eng., 9, 1–31,
<a href="https://doi.org/10.3390/jmse9010068" target="_blank">https://doi.org/10.3390/jmse9010068</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib95"><label>95</label><mixed-citation>
UNESCO-IOC (Intergovernmental Oceanographic Commission): 10 years of
the north-Eastern Atlantic, the Mediterranean and connected seas Tsunami
Warning and mitigation System (NEAMTWS): accomplishments and challenges in
preparing for the next tsunami, IOC/INF-1340, 59 pp.,
<a href="https://unesdoc.unesco.org/ark:/48223/pf0000247393" target="_blank"/> (last access: 26 November 2022), 2017.

</mixed-citation></ref-html>
<ref-html id="bib1.bib96"><label>96</label><mixed-citation>
UNESCO-IOC: Tsunami Early Warning and Mitigation System in the North-Eastern
Atlantic, the Mediterranean and Connected Seas (NEAMTWS) 2005–2020, <a href="https://unesdoc.unesco.org/ark:/48223/pf0000373791" target="_blank"/> (last access: 26 November 2022), 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib97"><label>97</label><mixed-citation>
Valbonesi, C.: Tsunami Ready Programme in NEAM region: strategies, responsibilities and further advancements to protect communities from tsunamis, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11876, <a href="https://doi.org/10.5194/egusphere-egu22-11876" target="_blank">https://doi.org/10.5194/egusphere-egu22-11876</a>, 2022.
</mixed-citation></ref-html>
<ref-html id="bib1.bib98"><label>98</label><mixed-citation>
Valbonesi, C., Amato, A., and Cerase, A.: The INGV Tsunami Alert Centre: analysis of the responsibility profiles, procedures and risk communication issues, B. Geofis. Teor. Appl., 60, 359–374, <a href="https://doi.org/10.4430/bgta0252" target="_blank">https://doi.org/10.4430/bgta0252</a>, 2019.
</mixed-citation></ref-html>
<ref-html id="bib1.bib99"><label>99</label><mixed-citation>
Valbonesi, C., Amato, A., and Cugliari, L.: Tsunami Ready in Italy: first steps, EGU General Assembly 2021, online, 19–30 April 2021, EGU21-12521, <a href="https://doi.org/10.5194/egusphere-egu21-12521" target="_blank">https://doi.org/10.5194/egusphere-egu21-12521</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib100"><label>100</label><mixed-citation>
Vilibić, I. and Šepić, J.: Destructive meteotsunamis along the
eastern Adriatic coast: Overview, Phys. Chem. Earth A/B/C, 34, 904–917, <a href="https://doi.org/10.1016/j.pce.2009.08.004" target="_blank">https://doi.org/10.1016/j.pce.2009.08.004</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib101"><label>101</label><mixed-citation>
Vivenzio, G.: Historia dei tremuoti avvenuti nella provincia di Calabria
ulteriore e nella città di Messina nell'anno 1783 e di quanto nelle
Calabrie fu fatto per il suo risorgimento fino al 1787, preceduta da una
Teoria, ed Istoria Generale de' Tremuoti, con un Atlante di 21 Tavole.
Stamperia Regale, 2 voll., Napoli, ISBN 8864560920, 1788 (in Italian).
</mixed-citation></ref-html>
<ref-html id="bib1.bib102"><label>102</label><mixed-citation>
Wachinger, G., Renn, O., Begg, C., and Kuhlicke, C.: The risk perception paradox – implications for governance and communication of natural hazards, Risk Anal., 33, 1049–1065,
<a href="https://doi.org/10.1111/j.1539-6924.2012.01942.x" target="_blank">https://doi.org/10.1111/j.1539-6924.2012.01942.x</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib103"><label>103</label><mixed-citation>
Wei, H. L., Wu, H. C., Lindell, M. K., Prater, C. S., Shiroshita, H., Johnston, D. M., and Becker, J. S.: Assessment of households'
responses to the tsunami threat: A comparative study of Japan and New
Zealand, Int. J. Disast. Risk Re., 25, 274—282, <a href="https://doi.org/10.1016/j.ijdrr.2017.09.011" target="_blank">https://doi.org/10.1016/j.ijdrr.2017.09.011</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib104"><label>104</label><mixed-citation>
Wildavsky, A. and Dake, K.: Theories of risk perception: Who fears what and
why?, Daedalus, 119, 41–60, <a href="http://www.jstor.org/stable/20025337" target="_blank"/> (last access: 26 November 2022), 1990.
</mixed-citation></ref-html>
<ref-html id="bib1.bib105"><label>105</label><mixed-citation>
Yalçıner, A., Annunziato, A., Papadopoulos, G., Güney-Doğan, G., Gökhan-Güler, H., ErayCakir, T., Özer-Sözdinler, C., Ulutaş, E., Arikawa, T., Süzen, L., Kanoğlu, U., Güler, I., Probst, P., and Synolakis, C.: The 20th July 2017 (22:31&thinsp;UTC) Bodrum-Kos Earthquake and Tsunami: Post Tsunami Field
Survey Report, <a href="http://www.emsc-csem.org" target="_blank"/> (last access: 26 November 2022), 2017.
</mixed-citation></ref-html>--></article>
