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<journal-meta>
<journal-id journal-id-type="publisher">NHESSD</journal-id>
<journal-title-group>
<journal-title>Natural Hazards and Earth System Sciences Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">NHESSD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Nat. Hazards Earth Syst. Sci. Discuss.</abbrev-journal-title>
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<issn pub-type="epub">2195-9269</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/nhess-2019-199</article-id>
<title-group>
<article-title>Vulnerability analysis in Complex Networks under a Flood Risk
Reduction point of view</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Santos</surname>
<given-names>Leonardo B. L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jorge</surname>
<given-names>Aurelienne A. S.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Londe</surname>
<given-names>Luciana R.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Reani</surname>
<given-names>Regina T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bacelar</surname>
<given-names>Roberta B.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sokolov</surname>
<given-names>Igor M.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>National Center for Monitoring and Early Warning of Natural Disasters (Cemaden), Sao Jose dos Campos/SP, Brazil</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Humboldt University of Berlin, Germany</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>National Institute for Space Research (INPE), Cachoeira Paulista/SP, Brazil</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Anhanguera College, Sao Jose dos Campos/SP, Brazil</addr-line>
</aff>
<pub-date pub-type="epub">
<day>04</day>
<month>07</month>
<year>2019</year>
</pub-date>
<volume>2019</volume>
<fpage>1</fpage>
<lpage>8</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2019 Leonardo B. L. Santos et al.</copyright-statement>
<copyright-year>2019</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/preprints/nhess-2019-199/">This article is available from https://nhess.copernicus.org/preprints/nhess-2019-199/</self-uri>
<self-uri xlink:href="https://nhess.copernicus.org/preprints/nhess-2019-199/nhess-2019-199.pdf">The full text article is available as a PDF file from https://nhess.copernicus.org/preprints/nhess-2019-199/nhess-2019-199.pdf</self-uri>
<abstract>
<p>&lt;p&gt;The measurement and mapping of transportation network vulnerability constitute subjects of global interest. During a flood, some elements of a transportation network can be reached, causing damages directly (to people, vehicles and roads/streets) and indirect damages (services) with great economic impacts. The Complex Networks approach may offer a valuable perspective considering one type of vulnerability especially related to Disaster Risk Reduction on critical infrastructures: the topological vulnerability. The topological vulnerability index associated to an element in a graph is defined as the damage (variation) on the network’s average efficiency due to the removal of that element. We have performed a topological vulnerability analysis to the highways in the state of Santa Catarina (Brazil), and produced a risk map considering that index and the flood susceptible areas. Our results can represent an important tool for stakeholders from the transportation sector.&lt;/p&gt;</p>
</abstract>
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