Articles | Volume 24, issue 1
https://doi.org/10.5194/nhess-24-145-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-145-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An assessment of potential improvements in social capital, risk awareness, and preparedness from digital technologies
Tommaso Piseddu
CORRESPONDING AUTHOR
Stockholm Environment Institute, Linnégatan 87D, 115 23 Stockholm, Sweden
Mathilda Englund
Stockholm Environment Institute, Linnégatan 87D, 115 23 Stockholm, Sweden
Karina Barquet
Stockholm Environment Institute, Linnégatan 87D, 115 23 Stockholm, Sweden
Related subject area
Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Spatial accessibility of emergency medical services under inclement weather: a case study in Beijing, China
Review article: Current approaches and critical issues in multi-risk recovery planning of urban areas exposed to natural hazards
Estimating emergency costs for earthquakes and floods in Central Asia based on modelled losses
Compound flood impacts from Hurricane Sandy on New York City in climate-driven storylines
Regional-scale landslide risk assessment in Central Asia
Cost estimation for the monitoring instrumentation of landslide early warning systems
The role of response efficacy and self-efficacy in disaster preparedness actions for vulnerable households
Scientists as storytellers: the explanatory power of stories told about environmental crises
Back analysis of a building collapse under snow and rain loads in a Mediterranean area
Brief communication: On the environmental impacts of 2023 flood in Emilia-Romagna (Italy)
Assessment of building damage and risk under extreme flood scenarios in Shanghai
Towards a global impact-based forecasting model for tropical cyclones
Mangrove ecosystem properties regulate high water levels in a river delta
Analysis of flood warning and evacuation efficiency by comparing damage and life-loss estimates with real consequences related to the São Francisco tailings dam failure in Brazil
Analysis of the effects of urban micro-scale vulnerabilities on tsunami evacuation using and Agent-Based model. Case study in the city of Iquique, Chile
Criteria-based visualization design for hazard maps
Low-regret climate change adaptation in coastal megacities – evaluating large-scale flood protection and small-scale rainwater detention measures for Ho Chi Minh City, Vietnam
Modeling compound flood risk and risk reduction using a globally applicable framework: a pilot in the Sofala province of Mozambique
A regional scale approach to assess non-residential buildings, transportation and croplands exposure in Central Asia
Scenario-based multi-risk assessment from existing single-hazard vulnerability models. An application to consecutive earthquakes and tsunamis in Lima, Peru
Using machine learning algorithms to identify predictors of social vulnerability in the event of a hazard: Istanbul case study
Large-scale risk assessment on snow avalanche hazard in alpine regions
Probabilistic and machine learning methods for uncertainty quantification in power outage prediction due to extreme events
Public intention to participate in sustainable geohazard mitigation: an empirical study based on an extended theory of planned behavior
An assessment of short–medium-term interventions using CAESAR-Lisflood in a post-earthquake mountainous area
Review article: Design and evaluation of weather index insurance for multi-hazard resilience and food insecurity
Design and application of a multi-hazard risk rapid assessment questionnaire for hill communities in the Indian Himalayan region
Identifying the drivers of private flood precautionary measures in Ho Chi Minh City, Vietnam
Performance of the flood warning system in Germany in July 2021 – insights from affected residents
Differences in volcanic risk perception among Goma's population before the Nyiragongo eruption of May 2021, Virunga volcanic province (DR Congo)
Empirical tsunami fragility modelling for hierarchical damage levels
Quantifying the potential benefits of risk-mitigation strategies on future flood losses in Kathmandu Valley, Nepal
Review article: Potential of nature-based solutions to mitigate hydro-meteorological risks in sub-Saharan Africa
Identifying Vulnerable Population in the Urban Society: a Case Study of Wuhan, China
Invited perspectives: An insurer's perspective on the knowns and unknowns in natural hazard risk modelling
Classifying marine faults for hazard assessment offshore Israel: a new approach based on fault size and vertical displacement
Assessing agriculture's vulnerability to drought in European pre-Alpine regions
Tsunami risk perception in central and southern Italy
Brief communication: Critical infrastructure impacts of the 2021 mid-July western European flood event
Multi-scenario urban flood risk assessment by integrating future land use change models and hydrodynamic models
Building-scale flood loss estimation through vulnerability pattern characterization: application to an urban flood in Milan, Italy
Process-based flood damage modelling relying on expert knowledge: a methodological contribution applied to the agricultural sector
Dynamic risk assessment of compound hazards based on VFS–IEM–IDM: a case study of typhoon–rainstorm hazards in Shenzhen, China
Integrated seismic risk assessment in Nepal
Machine learning models to predict myocardial infarctions from past climatic and environmental conditions
Reliability of flood marks and practical relevance for flood hazard assessment in southwestern Germany
Invited perspectives: Managed realignment as a solution to mitigate coastal flood risks – optimizing success through knowledge co-production
Invited perspectives: Views of 350 natural hazard community members on key challenges in natural hazards research and the Sustainable Development Goals
Estimating return intervals for extreme climate conditions related to winter disasters and livestock mortality in Mongolia
Surveying the surveyors to address risk perception and adaptive-behaviour cross-study comparability
Yuting Zhang, Kai Liu, Xiaoyong Ni, Ming Wang, Jianchun Zheng, Mengting Liu, and Dapeng Yu
Nat. Hazards Earth Syst. Sci., 24, 63–77, https://doi.org/10.5194/nhess-24-63-2024, https://doi.org/10.5194/nhess-24-63-2024, 2024
Short summary
Short summary
This article is aimed at developing a method to quantify the influence of inclement weather on the accessibility of emergency medical services (EMSs) in Beijing, China, and identifying the vulnerable areas that could not get timely EMSs under inclement weather. We found that inclement weather could reduce the accessibility of EMSs by up to 40%. Furthermore, towns with lower baseline EMSs accessibility are more vulnerable when inclement weather occurs.
Soheil Mohammadi, Silvia De Angeli, Giorgio Boni, Francesca Pirlone, and Serena Cattari
Nat. Hazards Earth Syst. Sci., 24, 79–107, https://doi.org/10.5194/nhess-24-79-2024, https://doi.org/10.5194/nhess-24-79-2024, 2024
Short summary
Short summary
This paper critically reviews disaster recovery literature from a multi-risk perspective. Identified key challenges encompass the lack of approaches integrating physical reconstruction and socio-economic recovery, the neglect of multi-risk interactions, the limited exploration of recovery from a pre-disaster planning perspective, and the low consideration of disaster recovery as a non-linear process in which communities need change over time.
Emilio Berny, Carlos Avelar, Mario A. Salgado-Gálvez, and Mario Ordaz
Nat. Hazards Earth Syst. Sci., 24, 53–62, https://doi.org/10.5194/nhess-24-53-2024, https://doi.org/10.5194/nhess-24-53-2024, 2024
Short summary
Short summary
This paper presents a methodology to estimate the total emergency costs based on modelled damages for earthquakes and floods, together with the demographic and building characteristics of the study area. The methodology has been applied in five countries in central Asia, the first time that these estimates are made available for the study area and are intended to be useful for regional and local stakeholders and decision makers.
Henrique M. D. Goulart, Irene Benito Lazaro, Linda van Garderen, Karin van der Wiel, Dewi Le Bars, Elco Koks, and Bart van den Hurk
Nat. Hazards Earth Syst. Sci., 24, 29–45, https://doi.org/10.5194/nhess-24-29-2024, https://doi.org/10.5194/nhess-24-29-2024, 2024
Short summary
Short summary
We explore how Hurricane Sandy (2012) could flood New York City under different scenarios, including climate change and internal variability. We find that sea level rise can quadruple coastal flood volumes, while changes in Sandy's landfall location can double flood volumes. Our results show the need for diverse scenarios that include climate change and internal variability and for integrating climate information into a modelling framework, offering insights for high-impact event assessments.
Francesco Caleca, Chiara Scaini, William Frodella, and Veronica Tofani
Nat. Hazards Earth Syst. Sci., 24, 13–27, https://doi.org/10.5194/nhess-24-13-2024, https://doi.org/10.5194/nhess-24-13-2024, 2024
Short summary
Short summary
Landslide risk analysis is a powerful tool because it allows us to identify where physical and economic losses could occur due to a landslide event. The purpose of our work was to provide the first regional-scale analysis of landslide risk for central Asia, and it represents an advanced step in the field of risk analysis for very large areas. Our findings show, per square kilometer, a total risk of about USD 3.9 billion and a mean risk of USD 0.6 million.
Marta Sapena, Moritz Gamperl, Marlene Kühnl, Carolina Garcia-Londoño, John Singer, and Hannes Taubenböck
Nat. Hazards Earth Syst. Sci., 23, 3913–3930, https://doi.org/10.5194/nhess-23-3913-2023, https://doi.org/10.5194/nhess-23-3913-2023, 2023
Short summary
Short summary
A new approach for the deployment of landslide early warning systems (LEWSs) is proposed. We combine data-driven landslide susceptibility mapping and population maps to identify exposed locations. We estimate the cost of monitoring sensors and demonstrate that LEWSs could be installed with a budget ranging from EUR 5 to EUR 41 per person in Medellín, Colombia. We provide recommendations for stakeholders and outline the challenges and opportunities for successful LEWS implementation.
Dong Qiu, Binglin Lv, Yuepeng Cui, and Zexiong Zhan
Nat. Hazards Earth Syst. Sci., 23, 3789–3803, https://doi.org/10.5194/nhess-23-3789-2023, https://doi.org/10.5194/nhess-23-3789-2023, 2023
Short summary
Short summary
This paper divides preparedness behavior into minimal and adequate preparedness. In addition to studying the main factors that promote families' disaster preparedness, we also study the moderating effects of response efficacy and self-efficacy on preparedness actions by vulnerable families. Based on the findings of this study, policymakers can target interventions and programs that can be designed to remedy the current lack of disaster preparedness education for vulnerable families.
Jenni Barclay, Richie Robertson, and M. Teresa Armijos
Nat. Hazards Earth Syst. Sci., 23, 3603–3615, https://doi.org/10.5194/nhess-23-3603-2023, https://doi.org/10.5194/nhess-23-3603-2023, 2023
Short summary
Short summary
Stories create avenues for sharing the meanings and social implications of scientific knowledge. We explore their value when told between scientists during a volcanic eruption. They are important vehicles for understanding how risk is generated during volcanic eruptions and create new knowledge about these interactions. Stories explore how risk is negotiated when scientific information is ambiguous or uncertain, identify cause and effect, and rationalize the emotional intensity of a crisis.
Isabelle Ousset, Guillaume Evin, Damien Raynaud, and Thierry Faug
Nat. Hazards Earth Syst. Sci., 23, 3509–3523, https://doi.org/10.5194/nhess-23-3509-2023, https://doi.org/10.5194/nhess-23-3509-2023, 2023
Short summary
Short summary
This paper deals with an exceptional snow and rain event in a Mediterranean region of France which is usually not prone to heavy snowfall and its consequences on a particular building that collapsed completely. Independent analyses of the meteorological episode are carried out, and the response of the building to different snow and rain loads is confronted to identify the main critical factors that led to the collapse.
Chiara Arrighi and Alessio Domeneghetti
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-184, https://doi.org/10.5194/nhess-2023-184, 2023
Revised manuscript accepted for NHESS
Short summary
Short summary
This communication reflects on environmental flood impacts by analysing the reported environmental consequences of the 2023 Emilia-Romagna flood. The most frequently reported damages involve water resources and water-related ecosystems. Indirect effects in time and space, intrinsic recovery capacity, cascade impacts on socio-economic systems and lack of established monitoring activities appear as the most challenging aspects for future research.
Jiachang Tu, Jiahong Wen, Liang Emlyn Yang, Andrea Reimuth, Stephen S. Young, Min Zhang, Luyang Wang, and Matthias Garschagen
Nat. Hazards Earth Syst. Sci., 23, 3247–3260, https://doi.org/10.5194/nhess-23-3247-2023, https://doi.org/10.5194/nhess-23-3247-2023, 2023
Short summary
Short summary
This paper evaluates the flood risk and the resulting patterns in buildings following low-probability, high-impact flood scenarios by a risk analysis chain in Shanghai. The results provide a benchmark and also a clear future for buildings with respect to flood risks in Shanghai. This study links directly to disaster risk management, e.g., the Shanghai Master Plan. We also discussed different potential adaptation options for flood risk management.
Mersedeh Kooshki Forooshani, Marc van den Homberg, Kyriaki Kalimeri, Andreas Kaltenbrunner, Yelena Mejova, Leonardo Milano, Pauline Ndirangu, Daniela Paolotti, Aklilu Teklesadik, and Monica L. Turner
EGUsphere, https://doi.org/10.5194/egusphere-2023-2205, https://doi.org/10.5194/egusphere-2023-2205, 2023
Short summary
Short summary
In this work, we improve an existing impact forecasting model for the Philippines by transforming the target variable (percentage of damaged houses) to a fine grid and using only features which are globally available. We show that our two-stage model conserves the performance of the original, and even has the potential of introducing savings in anticipatory action resources. Such model generalizability is important in increasing the applicability of such tools around the world.
Ignace Pelckmans, Jean-Philippe Belliard, Luis E. Dominguez-Granda, Cornelis Slobbe, Stijn Temmerman, and Olivier Gourgue
Nat. Hazards Earth Syst. Sci., 23, 3169–3183, https://doi.org/10.5194/nhess-23-3169-2023, https://doi.org/10.5194/nhess-23-3169-2023, 2023
Short summary
Short summary
Mangroves are increasingly recognized as a coastal protection against extreme sea levels. Their effectiveness in doing so, however, is still poorly understood, as mangroves are typically located in tropical countries where data on mangrove vegetation and topography properties are often scarce. Through a modelling study, we identified the degree of channelization and the mangrove forest floor topography as the key properties for regulating high water levels in a tropical delta.
André Felipe Rocha Silva and Julian Cardoso Eleutério
Nat. Hazards Earth Syst. Sci., 23, 3095–3110, https://doi.org/10.5194/nhess-23-3095-2023, https://doi.org/10.5194/nhess-23-3095-2023, 2023
Short summary
Short summary
This work evaluates the application of flood consequence models through their application in a real case related to a tailings dam failure. Furthermore, we simulated the implementation of less efficient alert systems on life-loss alleviation. The results revealed that the models represented the event well and were able to estimate the relevance of implementing efficient alert systems. They highlight that their use may be an important tool for new regulations for dam safety legislation.
Rodrigo Cienfuegos, Gonzalo Álvarez, Jorge León, Alejandro Urrutia, and Sebastián Castro
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-139, https://doi.org/10.5194/nhess-2023-139, 2023
Revised manuscript under review for NHESS
Short summary
Short summary
This study carries out a detailed analysis of possible tsunami evacuation scenarios in the city of Iquique in Chile. Evacuation and tsunami modeling are integrated, allowing for an estimation of the potential number of people that the inundation may reach under different scenarios, by emulating the dynamics and behavior of the population and the decision making regarding the starting time of the evacuation.
Max Schneider, Fabrice Cotton, and Pia-Johanna Schweizer
Nat. Hazards Earth Syst. Sci., 23, 2505–2521, https://doi.org/10.5194/nhess-23-2505-2023, https://doi.org/10.5194/nhess-23-2505-2023, 2023
Short summary
Short summary
Hazard maps are fundamental to earthquake risk reduction, but research is missing on how to design them. We review the visualization literature to identify evidence-based criteria for color and classification schemes for hazard maps. We implement these for the German seismic hazard map, focusing on communicating four properties of seismic hazard. Our evaluation finds that the redesigned map successfully communicates seismic hazard in Germany, improving on the baseline map for two key properties.
Leon Scheiber, Christoph Gabriel David, Mazen Hoballah Jalloul, Jan Visscher, Hong Quan Nguyen, Roxana Leitold, Javier Revilla Diez, and Torsten Schlurmann
Nat. Hazards Earth Syst. Sci., 23, 2333–2347, https://doi.org/10.5194/nhess-23-2333-2023, https://doi.org/10.5194/nhess-23-2333-2023, 2023
Short summary
Short summary
Like many other megacities in low-elevation coastal zones, Ho Chi Minh City in southern Vietnam suffers from the convoluting impact of changing environmental stressors and rapid urbanization. This study assesses quantitative hydro-numerical results against the background of the low-regret paradigm for (1) a large-scale flood protection scheme as currently constructed and (2) the widespread implementation of small-scale rainwater detention as envisioned in the Chinese Sponge City Program.
Dirk Eilander, Anaïs Couasnon, Frederiek C. Sperna Weiland, Willem Ligtvoet, Arno Bouwman, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 2251–2272, https://doi.org/10.5194/nhess-23-2251-2023, https://doi.org/10.5194/nhess-23-2251-2023, 2023
Short summary
Short summary
This study presents a framework for assessing compound flood risk using hydrodynamic, impact, and statistical modeling. A pilot in Mozambique shows the importance of accounting for compound events in risk assessments. We also show how the framework can be used to assess the effectiveness of different risk reduction measures. As the framework is based on global datasets and is largely automated, it can easily be applied in other areas for first-order assessments of compound flood risk.
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Zukhritdin Ergashev, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Fagà
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-95, https://doi.org/10.5194/nhess-2023-95, 2023
Revised manuscript accepted for NHESS
Short summary
Short summary
Central Asia is prone to multiple hazards such as floods, landslides and earthquakes, which can affect a wide range of assets at risk. We develop the first regionally-consistent database of assets at risk for non-residential buildings, transportation and croplands in Central Asia. The database combines global and regional data sources and country-based information and supports the development of regional-scale disaster risk reduction strategies for the Central Asia region.
Juan Camilo Gómez Zapata, Massimiliano Pittore, Nils Brinckmann, Juan Lizarazo-Marriaga, Sergio Medina, Nicola Tarque, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci., 23, 2203–2228, https://doi.org/10.5194/nhess-23-2203-2023, https://doi.org/10.5194/nhess-23-2203-2023, 2023
Short summary
Short summary
To investigate cumulative damage on extended building portfolios, we propose an alternative and modular method to probabilistically integrate sets of single-hazard vulnerability models that are being constantly developed by experts from various research fields to be used within a multi-risk context. We demonstrate its application by assessing the economic losses expected for the residential building stock of Lima, Peru, a megacity commonly exposed to consecutive earthquake and tsunami scenarios.
Oya Kalaycıoğlu, Serhat Emre Akhanlı, Emin Yahya Menteşe, Mehmet Kalaycıoğlu, and Sibel Kalaycıoğlu
Nat. Hazards Earth Syst. Sci., 23, 2133–2156, https://doi.org/10.5194/nhess-23-2133-2023, https://doi.org/10.5194/nhess-23-2133-2023, 2023
Short summary
Short summary
The associations between household characteristics and hazard-related social vulnerability in Istanbul, Türkiye, were assessed using machine learning techniques. The results indicated that less educated households with no social security and job insecurity that live in squatter houses are at a higher risk of social vulnerability. We present the findings in an open-access R Shiny web application, which can serve as a guidance for identifying the target groups in the interest of risk mitigation.
Gregor Ortner, Michael Bründl, Chahan M. Kropf, Thomas Röösli, Yves Bühler, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 23, 2089–2110, https://doi.org/10.5194/nhess-23-2089-2023, https://doi.org/10.5194/nhess-23-2089-2023, 2023
Short summary
Short summary
This paper presents a new approach to assess avalanche risk on a large scale in mountainous regions. It combines a large-scale avalanche modeling method with a state-of-the-art probabilistic risk tool. Over 40 000 individual avalanches were simulated, and a building dataset with over 13 000 single buildings was investigated. With this new method, risk hotspots can be identified and surveyed. This enables current and future risk analysis to assist decision makers in risk reduction and adaptation.
Prateek Arora and Luis Ceferino
Nat. Hazards Earth Syst. Sci., 23, 1665–1683, https://doi.org/10.5194/nhess-23-1665-2023, https://doi.org/10.5194/nhess-23-1665-2023, 2023
Short summary
Short summary
Power outage models can help utilities manage risks for outages from hurricanes. Our article reviews the existing outage models during hurricanes and highlights their strengths and limitations. Existing models can give erroneous estimates with outage predictions larger than the number of customers, can struggle with predictions for catastrophic hurricanes, and do not adequately represent infrastructure failure's uncertainties. We suggest models for the future that can overcome these challenges.
Huige Xing, Ting Que, Yuxin Wu, Shiyu Hu, Haibo Li, Hongyang Li, Martin Skitmore, and Nima Talebian
Nat. Hazards Earth Syst. Sci., 23, 1529–1547, https://doi.org/10.5194/nhess-23-1529-2023, https://doi.org/10.5194/nhess-23-1529-2023, 2023
Short summary
Short summary
Disaster risk reduction requires public power. The aim of this study is to investigate the factors influencing the public's intention to participate in disaster risk reduction. An empirical study was conducted using structural equation modeling data analysis methods. The findings show that public attitudes, perceptions of those around them, ability to participate, and sense of participation are important factors.
Di Wang, Ming Wang, Kai Liu, and Jun Xie
Nat. Hazards Earth Syst. Sci., 23, 1409–1423, https://doi.org/10.5194/nhess-23-1409-2023, https://doi.org/10.5194/nhess-23-1409-2023, 2023
Short summary
Short summary
The short–medium-term intervention effect on the post-earthquake area was analysed by simulations in different scenarios. The sediment transport patterns varied in different sub-regions, and the relative effectiveness in different scenarios changed over time with a general downward trend, where the steady stage implicated the scenario with more facilities performing better in controlling sediment output. Therefore, the simulation methods could support optimal rehabilitation strategies.
Marcos Roberto Benso, Gabriela Chiquito Gesualdo, Roberto Fray Silva, Greicelene Jesus Silva, Luis Miguel Castillo Rápalo, Fabricio Alonso Richmond Navarro, Patricia Angélica Alves Marques, José Antônio Marengo, and Eduardo Mario Mendiondo
Nat. Hazards Earth Syst. Sci., 23, 1335–1354, https://doi.org/10.5194/nhess-23-1335-2023, https://doi.org/10.5194/nhess-23-1335-2023, 2023
Short summary
Short summary
This article is about how farmers can better protect themselves from disasters like droughts, extreme temperatures, and floods. The authors suggest that one way to do this is by offering insurance contracts that cover these different types of disasters. By having this insurance, farmers can receive financial support and recover more quickly. The article elicits different ideas about how to design this type of insurance and suggests ways to make it better.
Shivani Chouhan and Mahua Mukherjee
Nat. Hazards Earth Syst. Sci., 23, 1267–1286, https://doi.org/10.5194/nhess-23-1267-2023, https://doi.org/10.5194/nhess-23-1267-2023, 2023
Short summary
Short summary
The Himalayas are prone to multi-hazards. To minimise loss, proper planning and execution are necessary. Data collection is the basis of any risk assessment process. This enhanced survey form is easy to understand and pictorial and identifies high-risk components of any building (structural and non-structural) surrounded by multi-hazards. Its results can help to utilise the budget in a prioritised way. A SWOT (strengths, weaknesses, threats and opportunities) analysis has been performed.
Thulasi Vishwanath Harish, Nivedita Sairam, Liang Emlyn Yang, Matthias Garschagen, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 23, 1125–1138, https://doi.org/10.5194/nhess-23-1125-2023, https://doi.org/10.5194/nhess-23-1125-2023, 2023
Short summary
Short summary
Coastal Asian cities are becoming more vulnerable to flooding. In this study we analyse the data collected from flood-prone houses in Ho Chi Minh City to identify what motivates the households to adopt flood precautionary measures. The results revealed that educating the households about the available flood precautionary measures and communicating the flood protection measures taken by the government encourage the households to adopt measures without having to experience multiple flood events.
Annegret H. Thieken, Philip Bubeck, Anna Heidenreich, Jennifer von Keyserlingk, Lisa Dillenardt, and Antje Otto
Nat. Hazards Earth Syst. Sci., 23, 973–990, https://doi.org/10.5194/nhess-23-973-2023, https://doi.org/10.5194/nhess-23-973-2023, 2023
Short summary
Short summary
In July 2021 intense rainfall caused devastating floods in western Europe with 184 fatalities in the German federal states of North Rhine-Westphalia (NW) and Rhineland-Palatinate (RP), calling their warning system into question. An online survey revealed that 35 % of respondents from NW and 29 % from RP did not receive any warning. Many of those who were warned did not expect severe flooding, nor did they know how to react. The study provides entry points for improving Germany's warning system.
Blaise Mafuko Nyandwi, Matthieu Kervyn, François Muhashy Habiyaremye, François Kervyn, and Caroline Michellier
Nat. Hazards Earth Syst. Sci., 23, 933–953, https://doi.org/10.5194/nhess-23-933-2023, https://doi.org/10.5194/nhess-23-933-2023, 2023
Short summary
Short summary
Risk perception involves the processes of collecting, selecting and interpreting signals about the uncertain impacts of hazards. It may contribute to improving risk communication and motivating the protective behaviour of the population living near volcanoes. Our work describes the spatial variation and factors influencing volcanic risk perception of 2204 adults of Goma exposed to Nyiragongo. It contributes to providing a case study for risk perception understanding in the Global South.
Fatemeh Jalayer, Hossein Ebrahimian, Konstantinos Trevlopoulos, and Brendon Bradley
Nat. Hazards Earth Syst. Sci., 23, 909–931, https://doi.org/10.5194/nhess-23-909-2023, https://doi.org/10.5194/nhess-23-909-2023, 2023
Short summary
Short summary
Assessing tsunami fragility and the related uncertainties is crucial in the evaluation of incurred losses. Empirical fragility modelling is based on observed tsunami intensity and damage data. Fragility curves for hierarchical damage levels are distinguished by their laminar shape; that is, the curves should not intersect. However, this condition is not satisfied automatically. We present a workflow for hierarchical fragility modelling, uncertainty propagation and fragility model selection.
Carlos Mesta, Gemma Cremen, and Carmine Galasso
Nat. Hazards Earth Syst. Sci., 23, 711–731, https://doi.org/10.5194/nhess-23-711-2023, https://doi.org/10.5194/nhess-23-711-2023, 2023
Short summary
Short summary
Flood risk is expected to increase in many regions worldwide due to rapid urbanization and climate change. The benefits of risk-mitigation measures remain inadequately quantified for potential future events in some multi-hazard-prone areas such as Kathmandu Valley (KV), Nepal, which this paper addresses. The analysis involves modeling two flood occurrence scenarios and using four residential exposure inventories representing current urban system or near-future development trajectories for KV.
Kirk B. Enu, Aude Zingraff-Hamed, Mohammad A. Rahman, Lindsay C. Stringer, and Stephan Pauleit
Nat. Hazards Earth Syst. Sci., 23, 481–505, https://doi.org/10.5194/nhess-23-481-2023, https://doi.org/10.5194/nhess-23-481-2023, 2023
Short summary
Short summary
In sub-Saharan Africa, there is reported uptake of at least one nature-based solution (NBS) in 71 % of urban areas in the region for mitigating hydro-meteorological risks. These NBSs are implemented where risks exist but not where they are most severe. With these NBSs providing multiple ecosystem services and four out of every five NBSs creating livelihood opportunities, NBSs can help address major development challenges in the region, such as water and food insecurity and unemployment.
Jia Xu, Makoto Takahashi, and Weifu Li
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-277, https://doi.org/10.5194/nhess-2022-277, 2023
Revised manuscript accepted for NHESS
Short summary
Short summary
Through the development of micro-individual social vulnerability indicators and the use of cluster analysis, this research has assessed the level of social vulnerability of 599 residents in 11 communities in the Hongshan District of Wuhan. Quantitative assessments offer comparisons specifically between distinct units and, the results indicate that different types of communities have great differences in social vulnerability.
Madeleine-Sophie Déroche
Nat. Hazards Earth Syst. Sci., 23, 251–259, https://doi.org/10.5194/nhess-23-251-2023, https://doi.org/10.5194/nhess-23-251-2023, 2023
Short summary
Short summary
This paper proves the need to conduct an in-depth review of the existing loss modelling framework and makes it clear that only a transdisciplinary effort will be up to the challenge of building global loss models. These two factors are essential to capture the interactions and increasing complexity of the three risk drivers (exposure, hazard, and vulnerability), thus enabling insurers to anticipate and be equipped to face the far-ranging impacts of climate change and other natural events.
May Laor and Zohar Gvirtzman
Nat. Hazards Earth Syst. Sci., 23, 139–158, https://doi.org/10.5194/nhess-23-139-2023, https://doi.org/10.5194/nhess-23-139-2023, 2023
Short summary
Short summary
This study aims to provide a practical and relatively fast solution for early-stage planning of marine infrastructure that must cross a faulted zone. Instead of investing huge efforts in finding whether each specific fault meets a pre-defined criterion of activeness, we map the subsurface and determine the levels of fault hazard based on the amount of displacement and the fault's plane size. This allows for choosing the least problematic infrastructure routes at an early planning stage.
Ruth Stephan, Stefano Terzi, Mathilde Erfurt, Silvia Cocuccioni, Kerstin Stahl, and Marc Zebisch
Nat. Hazards Earth Syst. Sci., 23, 45–64, https://doi.org/10.5194/nhess-23-45-2023, https://doi.org/10.5194/nhess-23-45-2023, 2023
Short summary
Short summary
This study maps agriculture's vulnerability to drought in the European pre-Alpine regions of Thurgau (CH) and Podravska (SI). We combine region-specific knowledge with quantitative data mapping; experts of the study regions, far apart, identified a few common but more region-specific factors that we integrated in two vulnerability scenarios. We highlight the benefits of the participatory approach in improving the quantitative results and closing the gap between science and practitioners.
Lorenzo Cugliari, Massimo Crescimbene, Federica La Longa, Andrea Cerase, Alessandro Amato, and Loredana Cerbara
Nat. Hazards Earth Syst. Sci., 22, 4119–4138, https://doi.org/10.5194/nhess-22-4119-2022, https://doi.org/10.5194/nhess-22-4119-2022, 2022
Short summary
Short summary
The Tsunami Alert Centre of the National Institute of Geophysics and Volcanology (CAT-INGV) has been promoting the study of tsunami risk perception in Italy since 2018. A total of 7342 questionnaires were collected in three survey phases (2018, 2020, 2021). 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 survey.
Elco E. Koks, Kees C. H. van Ginkel, Margreet J. E. van Marle, and Anne Lemnitzer
Nat. Hazards Earth Syst. Sci., 22, 3831–3838, https://doi.org/10.5194/nhess-22-3831-2022, https://doi.org/10.5194/nhess-22-3831-2022, 2022
Short summary
Short summary
This study provides an overview of the impacts to critical infrastructure and how recovery has progressed after the July 2021 flood event in Germany, Belgium and the Netherlands. The results show that Germany and Belgium were particularly affected, with many infrastructure assets severely damaged or completely destroyed. This study helps to better understand how infrastructure can be affected by flooding and can be used for validation purposes for future studies.
Qinke Sun, Jiayi Fang, Xuewei Dang, Kepeng Xu, Yongqiang Fang, Xia Li, and Min Liu
Nat. Hazards Earth Syst. Sci., 22, 3815–3829, https://doi.org/10.5194/nhess-22-3815-2022, https://doi.org/10.5194/nhess-22-3815-2022, 2022
Short summary
Short summary
Flooding by extreme weather events and human activities can lead to catastrophic impacts in coastal areas. The research illustrates the importance of assessing the performance of different future urban development scenarios in response to climate change, and the simulation study of urban risks will prove to decision makers that incorporating disaster prevention measures into urban development plans will help reduce disaster losses and improve the ability of urban systems to respond to floods.
Andrea Taramelli, Margherita Righini, Emiliana Valentini, Lorenzo Alfieri, Ignacio Gatti, and Simone Gabellani
Nat. Hazards Earth Syst. Sci., 22, 3543–3569, https://doi.org/10.5194/nhess-22-3543-2022, https://doi.org/10.5194/nhess-22-3543-2022, 2022
Short summary
Short summary
This work aims to support decision-making processes to prioritize effective interventions for flood risk reduction and mitigation for the implementation of flood risk management concepts in urban areas. Our findings provide new insights into vulnerability spatialization of urban flood events for the residential sector, demonstrating that the nature of flood pathways varies spatially and is influenced by landscape characteristics, as well as building features.
Pauline Brémond, Anne-Laurence Agenais, Frédéric Grelot, and Claire Richert
Nat. Hazards Earth Syst. Sci., 22, 3385–3412, https://doi.org/10.5194/nhess-22-3385-2022, https://doi.org/10.5194/nhess-22-3385-2022, 2022
Short summary
Short summary
It is impossible to protect all issues against flood risk. To prioritise protection, economic analyses are conducted. The French Ministry of the Environment wanted to make available damage functions that we have developed for several sectors. For this, we propose a methodological framework and apply it to the model we have developed to assess damage to agriculture. This improves the description, validation, transferability and updatability of models based on expert knowledge.
Wenwu Gong, Jie Jiang, and Lili Yang
Nat. Hazards Earth Syst. Sci., 22, 3271–3283, https://doi.org/10.5194/nhess-22-3271-2022, https://doi.org/10.5194/nhess-22-3271-2022, 2022
Short summary
Short summary
We propose a model named variable fuzzy set and information diffusion (VFS–IEM–IDM) to assess the dynamic risk of compound hazards, which takes into account the interrelations between the hazard drivers, deals with the problem of data sparsity, and considers the temporal dynamics of the occurrences of the compound hazards. To examine the efficacy of the proposed VFS–IEM–IDM model, a case study of typhoon–rainstorm risks in Shenzhen, China, is presented.
Sanish Bhochhibhoya and Roisha Maharjan
Nat. Hazards Earth Syst. Sci., 22, 3211–3230, https://doi.org/10.5194/nhess-22-3211-2022, https://doi.org/10.5194/nhess-22-3211-2022, 2022
Short summary
Short summary
This is a comprehensive approach to risk assessment that considers the dynamic relationship between loss and damage. The study combines physical risk with social science to mitigate the disaster caused by earthquakes in Nepal, taking socioeconomical parameters into account such that the risk estimates can be monitored over time. The main objective is to recognize the cause of and solutions to seismic hazard, building the interrelationship between individual, natural, and built-in environments.
Lennart Marien, Mahyar Valizadeh, Wolfgang zu Castell, Christine Nam, Diana Rechid, Alexandra Schneider, Christine Meisinger, Jakob Linseisen, Kathrin Wolf, and Laurens M. Bouwer
Nat. Hazards Earth Syst. Sci., 22, 3015–3039, https://doi.org/10.5194/nhess-22-3015-2022, https://doi.org/10.5194/nhess-22-3015-2022, 2022
Short summary
Short summary
Myocardial infarctions (MIs; heart attacks) are influenced by temperature extremes, air pollution, lack of green spaces and ageing population. Here, we apply machine learning (ML) models in order to estimate the influence of various environmental and demographic risk factors. The resulting ML models can accurately reproduce observed annual variability in MI and inter-annual trends. The models allow quantification of the importance of individual factors and can be used to project future risk.
Annette Sophie Bösmeier, Iso Himmelsbach, and Stefan Seeger
Nat. Hazards Earth Syst. Sci., 22, 2963–2979, https://doi.org/10.5194/nhess-22-2963-2022, https://doi.org/10.5194/nhess-22-2963-2022, 2022
Short summary
Short summary
Encouraging a systematic use of flood marks for more comprehensive flood risk management, we collected a large number of marks along the Kinzig, southwestern Germany, and tested them for plausibility and temporal continuance. Despite uncertainty, the marks appeared to be an overall consistent and practical source that may also increase flood risk awareness. A wide agreement between the current flood hazard maps and the collected flood marks moreover indicated a robust local hazard assessment.
Mark Schuerch, Hannah L. Mossman, Harriet E. Moore, Elizabeth Christie, and Joshua Kiesel
Nat. Hazards Earth Syst. Sci., 22, 2879–2890, https://doi.org/10.5194/nhess-22-2879-2022, https://doi.org/10.5194/nhess-22-2879-2022, 2022
Short summary
Short summary
Coastal nature-based solutions to adapt to sea-level rise, such as managed realignments (MRs), are becoming increasingly popular amongst scientists and coastal managers. However, local communities often oppose these projects, partly because scientific evidence for their efficiency is limited. Here, we propose a framework to work with stakeholders and communities to define success variables of MR projects and co-produce novel knowledge on the projects’ efficiency to mitigate coastal flood risks.
Robert Šakić Trogrlić, Amy Donovan, and Bruce D. Malamud
Nat. Hazards Earth Syst. Sci., 22, 2771–2790, https://doi.org/10.5194/nhess-22-2771-2022, https://doi.org/10.5194/nhess-22-2771-2022, 2022
Short summary
Short summary
Here we present survey responses of 350 natural hazard community members to key challenges in natural hazards research and step changes to achieve the Sustainable Development Goals. Challenges identified range from technical (e.g. model development, early warning) to governance (e.g. co-production with community members). Step changes needed are equally broad; however, the majority of answers showed a need for wider stakeholder engagement, increased risk management and interdisciplinary work.
Masahiko Haraguchi, Nicole Davi, Mukund Palat Rao, Caroline Leland, Masataka Watanabe, and Upmanu Lall
Nat. Hazards Earth Syst. Sci., 22, 2751–2770, https://doi.org/10.5194/nhess-22-2751-2022, https://doi.org/10.5194/nhess-22-2751-2022, 2022
Short summary
Short summary
Mass livestock mortality during severe winters (dzud in Mongolian) is a compound event. Summer droughts are a precondition for dzud. We estimate the return levels of relevant variables: summer drought conditions and minimum winter temperature. The result shows that the return levels of drought conditions vary over time. Winter severity, however, is constant. We link climatic factors to socioeconomic impacts and draw attention to the need for index insurance.
Samuel Rufat, Mariana Madruga de Brito, Alexander Fekete, Emeline Comby, Peter J. Robinson, Iuliana Armaş, W. J. Wouter Botzen, and Christian Kuhlicke
Nat. Hazards Earth Syst. Sci., 22, 2655–2672, https://doi.org/10.5194/nhess-22-2655-2022, https://doi.org/10.5194/nhess-22-2655-2022, 2022
Short summary
Short summary
It remains unclear why people fail to act adaptively to reduce future losses, even when there is ever-richer information available. To improve the ability of researchers to build cumulative knowledge, we conducted an international survey – the Risk Perception and Behaviour Survey of Surveyors (Risk-SoS). We find that most studies are exploratory and often overlook theoretical efforts that would enable the accumulation of evidence. We offer several recommendations for future studies.
Cited articles
Aldrich, D. P. and Meyer, M. A.: Social Capital and Community Resilience, Am. Behav. Sci., 59, 254–269, https://doi.org/10.1177/0002764214550299, 2015.
Alexander, D. E.: Resilience and disaster risk reduction: an etymological journey, Nat. Hazards Earth Syst. Sci., 13, 2707–2716, https://doi.org/10.5194/nhess-13-2707-2013, 2013.
Almar, R., Stieglitz, T., Addo, K. A., Ba, K., Ondoa, G. A., Bergsma, E. W. J., Bonou, F., Dada, O., Angnuureng, D., and Arino, O.: Coastal Zone Changes in West Africa: Challenges and Opportunities for Satellite Earth Observations, Surv. Geophys., 44, 249–275, https://doi.org/10.1007/s10712-022-09721-4, 2023.
Andrade, X., Layedra, F., Vaca, C., and Cruz, E.: RiSC: Quantifying change after natural disasters to estimate infrastructure damage with mobile phone data, in: 2018 IEEE International Conference on Big Data (Big Data), 2018 IEEE International Conference on Big Data (Big Data), 3383–3391, https://doi.org/10.1109/BigData.2018.8622374, 2018.
Aydin, B.: Public acceptance of drones: Knowledge, attitudes, and practice, Technol. Soc., 59, 101180, https://doi.org/10.1016/j.techsoc.2019.101180, 2019.
Bana e Costa, C. A., Antão da Silva, P., and Nunes Correia, F.: Multicriteria Evaluation of Flood Control Measures: The Case of Ribeira do Livramento, Water Resour. Manag., 18, 263–283, https://doi.org/10.1023/B:WARM.0000043163.19531.6a, 2004.
Bansod, B., Singh, R., Thakur, R., and Singhal, G.: A comparision between satellite based and drone based remote sensing technology to achieve sustainable development: A review, J. Agric. Environ. Int. Dev., 111, 383–407, https://doi.org/10.12895/jaeid.20172.690, 2017.
Bao, H., Zeng, C., Peng, Y., and Wu, S.: The use of digital technologies for landslide disaster risk research and disaster risk management: progress and prospects, Environ. Earth Sci., 81, 446, https://doi.org/10.1007/s12665-022-10575-7, 2022.
Barquet, K. and Cumiskey, L.: Using participatory Multi-Criteria Assessments for assessing disaster risk reduction measures, Coast. Eng., 134, 93–102, https://doi.org/10.1016/j.coastaleng.2017.08.006, 2018.
Barua, U., Mannan, S., Islam, I., Akther, M. S., Islam, Md. A., Akter, T., Ahsan, R., and Ansary, M. A.: People's awareness, knowledge and perception influencing earthquake vulnerability of a community: A study on Ward no. 14, Mymensingh Municipality, Bangladesh, Nat. Hazards, 103, 1121–1181, https://doi.org/10.1007/s11069-020-04028-2, 2020.
Bayardo, R. J. and Agrawal, R.: Data privacy through optimal k-anonymization, in: 21st International Conference on Data Engineering (ICDE'05), 21st International Conference on Data Engineering (ICDE'05), Tokyo, Japan, 5–8 April 2005, 217–228, https://doi.org/10.1109/ICDE.2005.42, 2005.
Becker, P.: Chapter 1 – Introducing the Book, in: Sustainability Science, edited by: Becker, P., Elsevier, 1–6, https://doi.org/10.1016/B978-0-444-62709-4.00001-4, 2014.
Besaleva, L. I. and Weaver, A. C.: Crowdsourcing for Emergency Response, in: Int'l Conf. Frontiers in Education: CS and CE | FECS'16 |, 248–253, https://www.proquest.com/openview/42beb1ea326c3049891613f284cc6349/1?cbl=1976352&pq-origsite=gscholar&parentSessionId=IqwCpMszuuOqQOOkJE9SO8ztsDNgpj8GpJ09kPq1MNk%3D (last access: 12 July 2021), 2016.
Bixler, R. P., Paul, S., Jones, J., Preisser, M., and Passalacqua, P.: Unpacking Adaptive Capacity to Flooding in Urban Environments: Social Capital, Social Vulnerability, and Risk Perception, Front. Water, 3, 728730, https://doi.org/10.3389/frwa.2021.728730, 2021.
Bowser, A., Shilton, K., Preece, J., and Warrick, E.: Accounting for Privacy in Citizen Science: Ethical Research in a Context of Openness, in: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, New York, NY, USA, 25 February 2017–1 March 2017, 2124–2136, https://doi.org/10.1145/2998181.2998305, 2017.
de Brito, M. M. and Evers, M.: Multi-criteria decision-making for flood risk management: a survey of the current state of the art, Nat. Hazards Earth Syst. Sci., 16, 1019–1033, https://doi.org/10.5194/nhess-16-1019-2016, 2016.
Brunie, A.: Household disaster preparedness: assessing the importance of relational and community social capital, University of North Carolina, Chapel Hill, https://doi.org/10.17615/545T-SS41, 2007.
Bu-Pasha, S.: Location Data, Personal Data Protection and Privacy in Mobile Device Usage: An EU Law Perspective, PhD, University of Helsinki, Helsinki, https://helda.helsinki.fi/handle/10138/251512 (last access: 22 March 2022), 2018.
Campbell, J. B. and Wynne, R. H.: Introduction to remote sensing, 5th edn., Guildford Press, New York, ISBN 9781609181765, 2011.
Capano, G. and Woo, J. J.: Resilience and robustness in policy design: a critical appraisal, Policy Sci., 50, 399–426, 2017.
Carone, M. T., Marincioni, F., and Romagnoli, F.: Use of multi-criteria decision analysis to define social resilience to disaster: the case of the EU LIFE PRIMES project, Enrgy Proced., 147, 166–174, https://doi.org/10.1016/j.egypro.2018.07.051, 2018.
Deng, H., Yeh, C.-H., and Willis, R. J.: Inter-company comparison using modified TOPSIS with objective weights, Comput. Oper. Res., 27, 963–973, https://doi.org/10.1016/S0305-0548(99)00069-6, 2000.
DFID: Sustainable livelihoods guidance sheets, Department for International Development, https://www.livelihoodscentre.org/documents/114097690/114438878/Sustainable+livelihoods+guidance+sheets.pdf/594e5ea6-99a9-2a4e-f288-cbb4ae4bea8b?t=1569512091877 (last access: 18 May 2021), 1999.
Di Felice, P. and Iessi, M.: A Citizen-Sensing-Based Digital Service for the Analysis of On-Site Post-Earthquake Messages, ISPRS Int. J. Geo-Inf., 8, 136, https://doi.org/10.3390/ijgi8030136, 2019.
Diakoulaki, D., Mavrotas, G., and Papayannakis, L.: Determining objective weights in multiple criteria problems: The critic method, Comput. Oper. Res., 22, 763–770, https://doi.org/10.1016/0305-0548(94)00059-H, 1995.
Disaster risk: https://www.undrr.org/terminology/disaster-risk, last access: 7 July 2023.
Dubovik, O., Schuster, G. L., Xu, F., Hu, Y., Bösch, H., Landgraf, J., and Li, Z.: Grand Challenges in Satellite Remote Sensing, Front. Remote Sens., 2, 619818, https://doi.org/10.3389/frsen.2021.619818, 2021.
Dufty, N.: Using Social Media to Build Community Disaster Resilience, Australian Journal of Emergency Management, 27, 40–45, https://knowledge.aidr.org.au/resources/ajem-jan-2012-using-social-media-to-build-community-disaster-resilience/ (last access: 19 September 2023) 2012.
Ekong, I., Chukwu, E., and Chukwu, M.: COVID-19 Mobile Positioning Data Contact Tracing and Patient Privacy Regulations: Exploratory Search of Global Response Strategies and the Use of Digital Tools in Nigeria, JMIR MHealth UHealth, 8, 19139, https://doi.org/10.2196/19139, 2020.
Emilien, A.-V., Thomas, C., and Thomas, H.: UAV & satellite synergies for optical remote sensing applications: A literature review, Sci. Remote Sens., 3, 100019, https://doi.org/10.1016/j.srs.2021.100019, 2021.
Fang, J., Hu, J., Shi, X., and Zhao, L.: Assessing disaster impacts and response using social media data in China: A case study of 2016 Wuhan rainstorm, Int. J. Disast. Risk Re., 34, 275–282, https://doi.org/10.1016/j.ijdrr.2018.11.027, 2019.
Foumelis, M., Papageorgiou, E., and Stamatopoulos, C.: Episodic ground deformation signals in Thessaly Plain (Greece) revealed by data mining of SAR interferometry time series, Int. J. Remote Sens., 37, 3696–3711, https://doi.org/10.1080/01431161.2016.1201233, 2016.
Frasson, R. P. de M., Schumann, G. J.-P., Kettner, A. J., Brakenridge, G. R., and Krajewski, W. F.: Will the Surface Water and Ocean Topography (SWOT) Satellite Mission Observe Floods?, Geophys. Res. Lett., 46, 10435–10445, https://doi.org/10.1029/2019GL084686, 2019.
Gambino, A. M. and Tuzzolino, D.: Location Data and Privacy, in: Privacy and Data Protection in Software Services, edited by: Senigaglia, R., Irti, C., and Bernes, A., Springer, Singapore, 141–152, https://doi.org/10.1007/978-981-16-3049-1_12, 2022.
Gamper, C. D., Thöni, M., and Weck-Hannemann, H.: A conceptual approach to the use of Cost Benefit and Multi Criteria Analysis in natural hazard management, Nat. Hazards Earth Syst. Sci., 6, 293–302, https://doi.org/10.5194/nhess-6-293-2006, 2006.
Garmezy, N., Masten, A. S., and Tellegen, A.: The Study of Stress and Competence in Children: A Building Block for Developmental Psychopathology, Child Dev., 55, 97–111, https://doi.org/10.2307/1129837, 1984.
Geiß, C., Taubenböck, H., Tyagunov, S., Tisch, A., Post, J., and Lakes, T.: Assessment of Seismic Building Vulnerability from Space, Earthq. Spectra, 30, 1553–1583, https://doi.org/10.1193/121812EQS350M, 2014.
Georgieva, I. D. and Kae Yanagisawa, K. (Eds.): Disaster Risk Reduction for Economic Growth and Livelihood: Investing in Resilience and Development, Routledge, London, 312 pp., https://doi.org/10.4324/9781315739953, 2015.
Gomez, C. and Purdie, H.: UAV- based Photogrammetry and Geocomputing for Hazards and Disaster Risk Monitoring – A Review, Geoenvironmental Disasters, 3, 23, https://doi.org/10.1186/s40677-016-0060-y, 2016.
Goniewicz, K., Magiera, M., Burkle, F. M., and Goniewicz, M.: Prospective Study on the Potential Use of Satellite Data for Disaster Prevention, Preparedness, and Mitigation in Poland, Prehospital Disaster Med., 35, 331–334, https://doi.org/10.1017/S1049023X20000321, 2020.
Grantz, K. H., Meredith, H. R., Cummings, D. A. T., Metcalf, C. J. E., Grenfell, B. T., Giles, J. R., Mehta, S., Solomon, S., Labrique, A., Kishore, N., Buckee, C. O., and Wesolowski, A.: The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology, Nat. Commun., 11, 4961, https://doi.org/10.1038/s41467-020-18190-5, 2020.
Gray, P. C., Ridge, J. T., Poulin, S. K., Seymour, A. C., Schwantes, A. M., Swenson, J. J., and Johnston, D. W.: Integrating Drone Imagery into High Resolution Satellite Remote Sensing Assessments of Estuarine Environments, Remote Sens., 10, 1257, https://doi.org/10.3390/rs10081257, 2018.
Hall, O. and Wahab, I.: The Use of Drones in the Spatial Social Sciences, Drones, 5, 112, https://doi.org/10.3390/drones5040112, 2021.
Han, Z., Hu, X., and Nigg, J.: How Does Disaster Relief Works Affect the Trust in Local Government? A Study of the Wenchuan Earthquake, Risk Hazards Crisis Public Policy, 2, 5, https://doi.org/10.2202/1944-4079.1092, 2011.
Hanson-Easey, S., Every, D., Hansen, A., and Bi, P.: Risk communication for new and emerging communities: The contingent role of social capital, Int. J. Disast. Risk Re., 28, 620–628, https://doi.org/10.1016/j.ijdrr.2018.01.012, 2018.
Hao, H., Wang, Y., and Kang, S.: Examining “digital” vulnerability to flooding among subsidized housing residents in Florida, Int. J. Disast. Risk Re., 82, 103302, https://doi.org/10.1016/j.ijdrr.2022.103302, 2022.
Harrison, S. and Johnson, P.: Challenges in the adoption of crisis crowdsourcing and social media in Canadian emergency management, Gov. Inform. Q., 36, 501–509, https://doi.org/10.1016/j.giq.2019.04.002, 2019.
Hausman, A. J., Hanlon, A., and Seals, B.: Social capital as a mediating factor in emergency preparedness and concerns about terrorism, J. Community Psychol., 35, 1073–1083, https://doi.org/10.1002/jcop.20203, 2007.
Hemati, M., Hasanlou, M., Mahdianpari, M., and Mohammadimanesh, F.: A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth, Remote Sens., 13, 2869, https://doi.org/10.3390/rs13152869, 2021.
Hernandez-Suarez, A., Sanchez-Perez, G., Toscano-Medina, K., Perez-Meana, H., Portillo-Portillo, J., And Luis, V. S., and Javier García Villalba, L.: Using Twitter Data to Monitor Natural Disaster Social Dynamics: A Recurrent Neural Network Approach with Word Embeddings and Kernel Density Estimation, Sensors, 19, 1746, https://doi.org/10.3390/s19071746, 2019.
Hernantes, J., Maraña, P., Gimenez, R., Sarriegi, J. M., and Labaka, L.: Towards resilient cities: A maturity model for operationalizing resilience, Cities, 84, 96–103, https://doi.org/10.1016/j.cities.2018.07.010, 2019.
Hirata, E., Giannotti, M. A., Larocca, A. P. C., and Quintanilha, J. A.: Flooding and inundation collaborative mapping – use of the Crowdmap/Ushahidi platform in the city of Sao Paulo, Brazil, J. Flood Risk Manag., 11, 98–109, https://doi.org/10.1111/jfr3.12181, 2018.
Holling, C. S.: Resilience and Stability of Ecological Systems, Annu. Rev. Ecol. Syst., 4, 1–23, https://doi.org/10.1146/annurev.es.04.110173.000245, 1973.
Ienca, M. and Vayena, E.: On the responsible use of digital data to tackle the COVID-19 pandemic, Nat. Med., 26, 463–464, https://doi.org/10.1038/s41591-020-0832-5, 2020.
Indriasari, T. D., Anindito, K., Julianto, E., and Pangaribuan, B. L. P.: A Mobile and Web Application for Mapping Disaster Volunteers' Position in Indonesia, Int. J. Interact. Mob. Technol., 11, 98–112, https://doi.org/10.3991/ijim.v11i3.6477, 2017.
IPCC: Annex II: Glossary, in: Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, IPCC, Geneva, 117–130, https://www.ipcc.ch/site/assets/uploads/2018/02/AR5_SYR_FINAL_Annexes.pdf (last access: 19 September 2023), 2014.
Izumi, T., Shaw, R., Djalante, R., Ishiwatari, M., and Komino, T.: Disaster risk reduction and innovations, Prog. Disaster Sci., 2, 100033, https://doi.org/10.1016/j.pdisas.2019.100033, 2019.
Jayant, A. and Sharma, J.: A comprehensive literature review of MCDM techniques ELECTRE, PROMETHEE, VIKTOR, and TOPSIS applications in business competitive environment, Int. J. Curr. Res., 10, 65461–65477, 2018.
Johansen, C., Horney, J., and Tien, I.: Metrics for Evaluating and Improving Community Resilience, J. Infrastruct. Syst., 23, 04016032, https://doi.org/10.1061/(ASCE)IS.1943-555X.0000329, 2017.
Johnston, K., Kervin, L., and Wyeth, P.: Australian Research Council Centre of Excellence for the Digital Child, Defin. Digit. Technol., https://www.digitalchild.org.au/blog/defining-digital-technology/ (last access: 13 January 2023) 2022.
Javernick-Will, A. and Jordan, E.: Measuring Community Resilience and Recovery: A Content Analysis of Indicators, Construction Research Congress 2012, 2190–2199, https://doi.org/10.1061/9780784412329.220, 2012.
Joseph, J.: Varieties of Resilience: Studies in Governmentality, 1st edn., Cambridge University Press, https://doi.org/10.1017/9781316551028, 2018.
Jurgens, M. and Helsloot, I.: The effect of social media on the dynamics of (self) resilience during disasters: A literature review, J. Conting. Crisis Man., 26, 79–88, https://doi.org/10.1111/1468-5973.12212, 2018.
Kankanamge, N., Yigitcanlar, T., Goonetilleke, A., and Kamruzzaman, M.: Can volunteer crowdsourcing reduce disaster risk? A systematic review of the literature, Int. J. Disast. Risk Re., 35, 101097, https://doi.org/10.1016/j.ijdrr.2019.101097, 2019.
Kerr, S. E.: Chapter 22 – Social Capital as a Determinant of Resilience: Implications for Adaptation Policy, in: Resilience, edited by: Zommers, Z. and Alverson, K., Elsevier, 267–275, https://doi.org/10.1016/B978-0-12-811891-7.00022-0, 2018.
Krishnan, A. R., Kasim, M. M., Hamid, R., and Ghazali, M. F.: A Modified CRITIC Method to Estimate the Objective Weights of Decision Criteria, Symmetry, 13, 973, https://doi.org/10.3390/sym13060973, 2021.
Kryvasheyeu, Y., Chen, H., Obradovich, N., Moro, E., Van Hentenryck, P., Fowler, J., and Cebrian, M.: Rapid assessment of disaster damage using social media activity, Sci. Adv., 2, e1500779, https://doi.org/10.1126/sciadv.1500779, 2016.
Kucharczyk, M. and Hugenholtz, C. H.: Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities, Remote Sens. Environ., 264, 112577, https://doi.org/10.1016/j.rse.2021.112577, 2021.
Lai, H. and Liao, H.: A multi-criteria decision making method based on DNMA and CRITIC with linguistic D numbers for blockchain platform evaluation, Eng. Appl. Artif. Intel., 101, 104200, https://doi.org/10.1016/j.engappai.2021.104200, 2021.
Lasko, T. A. and Vinterbo, S. A.: Spectral Anonymization of Data, IEEE T. Knowl. Data En., 22, 437–446, https://doi.org/10.1109/TKDE.2009.88, 2010.
Latvakoski, J., Bäck, A., Parmes, E., Öörni, R., Ceylan, Ö., Tominga, A., Orru, K., Siim, E., Klaos, M., Galvani, A., Schieffelers, A., Myllylä, M., Jukarainen, P., Berawi, M. A., and Max, M.: D2.4 catalogue of tools, technologies and media opportunities for disaster management, Horizon BuildERS project, https://buildersproject.eu/assets/content/attachments/BuildERS%20-%20deliverables/D2.4.pdf (last access: 5 July 2021) 2020.
Latvakoski, J., Öörni, R., Lusikka, T., and Keränen, J.: Evaluation of emerging technological opportunities for improving risk awareness and resilience of vulnerable people in disasters, Int. J. Disast. Risk Re., 80, 103173, https://doi.org/10.1016/j.ijdrr.2022.103173, 2022.
Le Cozannet, G., Raucoules, D., de Michele, M., Benaichouche, A., Gehll, P., Monfort, D., Negulescu, C., Rohmer, J., Pierdicca, N., Albano, M., Giovinazzi, S., and Foumelis, M.: Potential of Satellite Remote Sensing to Monitor Vulnerablity of Buildings to Earthquakes Within a Semi-Empirical Macroseismic Approach, in: IGARSS 2018 – 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 – 2018 IEEE International Geoscience and Remote Sensing Symposium, 2956–2959, https://doi.org/10.1109/IGARSS.2018.8519531, 2018.
Le Cozannet, G., Kervyn, M., Russo, S., Ifejika Speranza, C., Ferrier, P., Foumelis, M., Lopez, T., and Modaressi, H.: Space-Based Earth Observations for Disaster Risk Management, Surv. Geophys., 41, 1209–1235, https://doi.org/10.1007/s10712-020-09586-5, 2020.
Leelawat, N., Suppasri, A., Latcharote, P., Imamura, F., Abe, Y., and Sugiyasu, K.: Increasing tsunami risk awareness via mobile application, in: IOP Conference Series: Earth and Environmental Science, https://doi.org/10.1088/1755-1315/56/1/012001, 2017.
Li, L., Bensi, M., Cui, Q., Baecher, G. B., and Huang, Y.: Social media crowdsourcing for rapid damage assessment following a sudden-onset natural hazard event, Int. J. Inform. Manage., 60, 102378, https://doi.org/10.1016/j.ijinfomgt.2021.102378, 2021.
Liu, Y., Cao, L., Yang, D., and Anderson, B. C.: How social capital influences community resilience management development, Environ. Sci. Policy, 136, 642–651, https://doi.org/10.1016/j.envsci.2022.07.028, 2022.
Manyena, S. B.: The concept of resilience revisited, Disasters, 30, 434–450, https://doi.org/10.1111/j.0361-3666.2006.00331.x, 2006.
Maskrey, A.: Revisiting community-based disaster risk management, Environ. Hazards, 10, 42–52, https://doi.org/10.3763/ehaz.2011.0005, 2011.
Melet, A., Teatini, P., Le Cozannet, G., Jamet, C., Conversi, A., Benveniste, J., and Almar, R.: Earth Observations for Monitoring Marine Coastal Hazards and Their Drivers, Surv. Geophys., 41, 1489–1534, https://doi.org/10.1007/s10712-020-09594-5, 2020.
Menichini, G., Nistri, V., Boschi, S., Del Monte, E., Orlando, M., and Vignoli, A.: Calibration of vulnerability and fragility curves from moderate intensity Italian earthquake damage data, Int. J. Disast. Risk Re., 67, 102676, https://doi.org/10.1016/j.ijdrr.2021.102676, 2022.
Mohd Daud, S. M. S., Mohd Yusof, M. Y. P., Heo, C. C., Khoo, L. S., Chainchel Singh, M. K., Mahmood, M. S., and Nawawi, H.: Applications of drone in disaster management: A scoping review, Sci. Justice, 62, 30–42, https://doi.org/10.1016/j.scijus.2021.11.002, 2022.
Morsut, C., Kuran, C., Kruke, B. I., Orru, K., and Hansson, S.: Linking resilience, vulnerability, social capital and risk awareness for crisis and disaster research, J. Conting. Crisis Man., 30, 137–147, https://doi.org/10.1111/1468-5973.12375, 2021.
Mukhametzyanov, I. and Pamučar, D.: A Sensitivity analysis in MCDM problems: A statistical approach, Decis. Mak. Appl. Manag. Eng., 1, 51–80, https://doi.org/10.31181/dmame1802050m, 2018.
Mulder, F.: Humanitarian data justice: A structural data justice lens on civic technologies in post-earthquake Nepal, J. Conting. Crisis Man., 28, 432–445, https://doi.org/10.1111/1468-5973.12335, 2020.
Munawar, H. S., Mojtahedi, M., Hammad, A. W. A., Kouzani, A., and Mahmud, M. A. P.: Disruptive technologies as a solution for disaster risk management: A review, Sci. Total Environ., 806, 151351, https://doi.org/10.1016/j.scitotenv.2021.151351, 2022.
Neri, M., Le Cozannet, G., Thierry, P., Bignami, C., and Ruch, J.: A method for multi-hazard mapping in poorly known volcanic areas: an example from Kanlaon (Philippines), Nat. Hazards Earth Syst. Sci., 13, 1929–1943, https://doi.org/10.5194/nhess-13-1929-2013, 2013.
Nguyen, Q. N., Frisiello, A., and Rossi, C.: The Design of a Mobile Application for Crowdsourcing in Disaster Risk Reduction, ISCRAM 2019: 16. International Conference on Information Systems for Crisis Response and Management; Valencia (Spain), 19–22 May 2019, 607–618, https://iscram2019.webs.upv.es/wp-content/uploads/2019/09/ISCRAM2019_Proceedings.pdf (last access: 3 January 2023), 2019.
Nicholls, K. and Picou, J. S.: The Impact of Hurricane Katrina on Trust in Government, Soc. Sci. Quart., 94, 344–361, 2013.
Odu, G. O.: Weighting methods for multi-criteria decision making technique, J. Appl. Sci. Environ. Manag., 23, 1449–1457, https://doi.org/10.4314/jasem.v23i8.7, 2019.
Ogie, R. I., Clarke, R. J., Forehead, H., and Perez, P.: Crowdsourced social media data for disaster management: Lessons from the PetaJakarta.org project, Comput. Environ. Urban, 73, 108–117, https://doi.org/10.1016/j.compenvurbsys.2018.09.002, 2019.
Paul, J. D., Bee, E., and Budimir, M.: Mobile phone technologies for disaster risk reduction, Clim. Risk Manag., 32, 100296, https://doi.org/10.1016/j.crm.2021.100296, 2021.
Phengsuwan, J., Shah, T., Thekkummal, N. B., Wen, Z., Sun, R., Pullarkatt, D., Thirugnanam, H., Ramesh, M. V., Morgan, G., James, P., and Ranjan, R.: Use of Social Media Data in Disaster Management: A Survey, Future Internet, 13, 46, https://doi.org/10.3390/fi13020046, 2021.
Putnam, R. D.: What makes democracy work?, Natl. Civ. Rev., 82, 101–107, https://doi.org/10.1002/ncr.4100820204, 1993.
Raper, J., Gartner, G., Karimi, H., and Rizos, C.: Applications of location–based services: a selected review, J. Locat. Based Serv., 1, 89–111, https://doi.org/10.1080/17489720701862184, 2007.
Rejeb, A., Rejeb, K., Simske, S., and Treiblmaier, H.: Humanitarian Drones: A Review and Research Agenda, Internet Things, 16, 100434, https://doi.org/10.1016/j.iot.2021.100434, 2021.
Reuter, C. and Kaufhold, M.-A.: Fifteen years of social media in emergencies: A retrospective review and future directions for crisis Informatics, J. Conting. Crisis Man., 26, 41–57, https://doi.org/10.1111/1468-5973.12196, 2018.
Sajjad, H. and Kumar, P.: Future Challenges and Perspective of Remote Sensing Technology, in: Applications and Challenges of Geospatial Technology, edited by: Kumar, P., Rani, M., Chandra Pandey, P., Sajjad, H., and Chaudhary, B. S., Springer International Publishing, Cham, 275–277, https://doi.org/10.1007/978-3-319-99882-4_16, 2019.
Sakurai, M. and Murayama, Y.: Information technologies and disaster management – Benefits and issues, Prog. Disaster Sci., 2, 100012, https://doi.org/10.1016/j.pdisas.2019.100012, 2019.
Santamaria, C., Sermi, F., Spyratos, S., Iacus, S. M., Annunziato, A., Tarchi, D., and Vespe, M.: Measuring the impact of COVID-19 confinement measures on human mobility using mobile positioning data. A European regional analysis, Safety Sci., 132, 104925, https://doi.org/10.1016/j.ssci.2020.104925, 2020.
Santos, C. and Rapp, L.: Satellite Imagery, Very High-Resolution and Processing-Intensive Image Analysis: Potential Risks Under the GDPR', 44 Air and Space Law, 275–295, https://ssrn.com/abstract=3413014 (last access: 26 August 2022), 2019.
Sun, R., Gong, Z., Gao, G., and Shah, A. A.: Comparative analysis of Multi-Criteria Decision-Making methods for flood disaster risk in the Yangtze River Delta, Int. J. Disast. Risk Re., 51, 101768, https://doi.org/10.1016/j.ijdrr.2020.101768, 2020.
Tate, E.: Social vulnerability indices: a comparative assessment using uncertainty and sensitivity analysis, Nat. Hazards, 63, 325–347, https://doi.org/10.1007/s11069-012-0152-2, 2012.
Tavra, M., Racetin, I., and Peroš, J.: The role of crowdsourcing and social media in crisis mapping: a case study of a wildfire reaching Croatian City of Split, Geoenviron Disasters, 8, 10, https://doi.org/10.1186/s40677-021-00181-3, 2021.
Tellman, B., Sullivan, J. A., Kuhn, C., Kettner, A. J., Doyle, C. S., Brakenridge, G. R., Erickson, T. A., and Slayback, D. A.: Satellite imaging reveals increased proportion of population exposed to floods, Nature, 596, 80–86, https://doi.org/10.1038/s41586-021-03695-w, 2021.
Teodoro, A. C. and Duarte, L.: Chapter 10 – The role of satellite remote sensing in natural disaster management, in: Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention, edited by: Denizli, A., Alencar, M. S., Nguyen, T. A., and Motaung, D. E., Elsevier, 189–216, https://doi.org/10.1016/B978-0-323-91166-5.00015-X, 2022.
Terrovitis, M., Mamoulis, N., and Kalnis, P.: Privacy-preserving anonymization of set-valued data, in: Proceedings of the VLDB Endowment, Proceedings of the VLDB Endowment, 115–125, https://doi.org/10.14778/1453856.1453874, 2008.
The Rockerfeller Foundation: Measuring city resilience, The Rockerfeller Foundation, New York, https://www.rockefellerfoundation.org/report/city-resilience-framework/ (last access: 18 May 2021), 2016.
Tsiamis, N., Efthymiou, L., and Tsagarakis, K. P.: A Comparative Analysis of the Legislation Evolution for Drone Use in OECD Countries, Drones, 3, 75, https://doi.org/10.3390/drones3040075, 2019.
Tuş, A. and Adalı, E. A.: The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem, OPSearch, 56, 528–538, https://doi.org/10.1007/s12597-019-00371-6, 2019.
UNDRR: Sendai Framework for Disaster Risk Reduction 2015–2030, in: UN World Conference on disaster risk reduction, Sendai, Japan, 18 March 2015, https://www.undrr.org/publication/sendai-framework-disaster-risk-reduction-2015-2030 (last access: 2 May 2022), 2015.
Vermiglio, C., Noto, G., Rodríguez Bolívar, M. P., and Zarone, V.: Disaster management and emerging technologies: a performance-based perspective, Meditari Account. Res., 30, 1093–1117, https://doi.org/10.1108/MEDAR-02-2021-1206, 2022.
Võik, E. J., Tominga, A., Klaos, M., Silm, S., Orru, K., Lusikka, T., Keränen, J., and Schobert, M.: BUILDERS D4.3 Practice & product innovation “Applying mobile positioning data for more precise rescue planning and emergency management under cyber-hazard in Estonia”, Horizon2020 BuildERS project, https://buildersproject.eu/assets/content/attachments/BuildERS%20-%20deliverables/D4.3.pdf (last access: 7 July 2021), 2021.
Wagenmakers, E.-J., Sarafoglou, A., and Aczel, B.: One statistical analysis must not rule them all, Nature, 605, 423–425, https://doi.org/10.1038/d41586-022-01332-8, 2022.
Wang, Z., Lam, N. S. N., Obradovich, N., and Ye, X.: Are vulnerable communities digitally left behind in social responses to natural disasters? An evidence from Hurricane Sandy with Twitter data, Appl. Geogr., 108, 1–8, https://doi.org/10.1016/j.apgeog.2019.05.001, 2019.
Wankmüller, C., Kunovjanek, M., and Mayrgündter, S.: Drones in emergency response – evidence from cross-border, multi-disciplinary usability tests, Int. J. Disast. Risk Re., 65, 102567, https://doi.org/10.1016/j.ijdrr.2021.102567, 2021.
Weichenthal, S., Hatzopoulou, M., and Brauer, M.: A picture tells a thousand… exposures: Opportunities and challenges of deep learning image analyses in exposure science and environmental epidemiology, Environ. Int., 122, 3–10, https://doi.org/10.1016/j.envint.2018.11.042, 2019.
Wheeler, B. J. and Karimi, H. A.: Deep Learning-Enabled Semantic Inference of Individual Building Damage Magnitude from Satellite Images, Algorithms, 13, 195, https://doi.org/10.3390/a13080195, 2020.
Xu, X.: A note on the subjective and objective integrated approach to determine attribute weights, Eur. J. Oper. Res., 156, 530–532, https://doi.org/10.1016/S0377-2217(03)00146-2, 2004.
Yabe, T., Zhang, Y., and Ukkusuri, S. V.: Quantifying the economic impact of disasters on businesses using human mobility data: a Bayesian causal inference approach, EPJ Data Sci., 9, 36, https://doi.org/10.1140/epjds/s13688-020-00255-6, 2020.
Yabe, T., Jones, N. K. W., Rao, P. S. C., Gonzalez, M. C., and Ukkusuri, S. V.: Mobile phone location data for disasters: A review from natural hazards and epidemics, Comput. Environ. Urban, 94, 101777, https://doi.org/10.1016/j.compenvurbsys.2022.101777, 2022.
Zachreson, C., Mitchell, L., Lydeamore, M. J., Rebuli, N., Tomko, M., and Geard, N.: Risk mapping for COVID-19 outbreaks in Australia using mobility data, J. R. Soc. Interface, 18, 20200657, https://doi.org/10.1098/rsif.2020.0657, 2021.
Zardari, N. H., Ahmed, K., Shirazi, S. M., and Yusop, Z. B.: Weighting Methods and their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management, Springer International Publishing, Cham, https://doi.org/10.1007/978-3-319-12586-2, 2015.
Zhou, H., Wang, J., Wan, J., and Jia, H.: Resilience to natural hazards: a geographic perspective, Nat. Hazards, 53, 21–41, https://doi.org/10.1007/s11069-009-9407-y, 2010.
Short summary
Contributions to social capital, risk awareness, and preparedness constitute the parameters to test applications in disaster risk management. We propose an evaluation of four of these: mobile positioning data, social media crowdsourcing, drones, and satellite imaging. The analysis grants the opportunity to investigate how different methods to evaluate surveys' results may influence final preferences. We find that the different assumptions on which these methods rely deliver diverging results.
Contributions to social capital, risk awareness, and preparedness constitute the parameters to...
Altmetrics
Final-revised paper
Preprint