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Assessing disaster risk by integrating natural and socio-economic dimensions: A decision-support tool

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  • Marin, Giovanni
  • Modica, Marco
  • Paleari, Susanna
  • Zoboli, Roberto

Abstract

The paper provides a conceptual framework for a multi-dimensional assessment of risk associated to natural disasters. The different components of risk (hazard, exposure, vulnerability and resilience) are seen in a combined natural and socio-economic perspective and are integrated into a Disaster Risk Assessment Tool (DRAT). The tool can be used to support disaster management strategies, as well as risk mitigation and adaptation strategies at very disaggregated geographical or administrative scales. In this paper, we illustrate the features of the DRAT and we apply the tool to 7556 Italian municipalities to map their multidimensional risk. DRAT can be particularly useful to identify hotspots that are characterized by high hazard, exposure and vulnerability and by low resilience. In order to identify hotspots, we perform a cluster analysis of the Italian municipalities in terms of their risk ranking based on DRAT. We also suggest how the tool may be exploited within the processes of disaster risk policy.

Suggested Citation

  • Marin, Giovanni & Modica, Marco & Paleari, Susanna & Zoboli, Roberto, 2021. "Assessing disaster risk by integrating natural and socio-economic dimensions: A decision-support tool," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    • Handle: RePEc:eee:soceps:v:77:y:2021:i:c:s0038012121000240
    DOI: 10.1016/j.seps.2021.101032
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    7. Compagnucci, Fabiano & Morettini, Gabriele, 2024. "Inner areas matter: A place-sensitive approach for the identification of the Daily Life Spaces in the Italian Abruzzo region," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    8. Di Noia, Jlenia & Caiani, Alessandro & Cesarini, Luigi & Arosio, Marcello & Monteleone, Beatrice, 2025. "A high resolution input–output model to assess the economic impact of floods," Journal of Economic Behavior & Organization, Elsevier, vol. 230(C).
    9. Lodi, Chiara & Marin, Giovanni & Modica, Marco, "undated". "Fiscal policy response of local governments to floods in Italy," FEEM Working Papers 329435, Fondazione Eni Enrico Mattei (FEEM).
    10. Kourtit, Karima & Nijkamp, Peter & Banica, Alexandru, 2023. "An analysis of natural disasters’ effects – A global comparative study of ‘Blessing in Disguise’," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    11. Shuvrangshu Jana & Rudrashis Majumder & Prathyush P. Menon & Debasish Ghose, 2022. "Decision Support System (DSS) for Hierarchical Allocation of Resources and Tasks for Disaster Management," SN Operations Research Forum, Springer, vol. 3(3), pages 1-30, September.
    12. Kazancoglu, Yigit & Ekinci, Esra & Mangla, Sachin Kumar & Sezer, Muruvvet Deniz & Ozbiltekin-Pala, Melisa, 2023. "Impact of epidemic outbreaks (COVID-19) on global supply chains: A case of trade between Turkey and China," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
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    Keywords

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    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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