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A support system for assessing local vulnerability to weather and climate

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  • Alex Coletti

  • Peter Howe

  • Brent Yarnal

  • Nathan Wood

Abstract

The changing number and nature of weather- and climate-related natural hazards is causing more communities to need to assess their vulnerabilities. Vulnerability assessments, however, often require considerable expertise and resources that are not available or too expensive for many communities. To meet the need for an easy-to-use, cost-effective vulnerability assessment tool for communities, a prototype online vulnerability assessment support system was built and tested. This prototype tool guides users through a stakeholder-based vulnerability assessment that breaks the process into four easy-to-implement steps. Data sources are integrated in the online environment so that perceived risks—defined and prioritized qualitatively by users—can be compared and discussed against the impacts that past events have had on the community. The support system is limited in scope, and the locations of the case studies do not provide a sufficiently broad range of sample cases. The addition of more publically available hazard databases combined with future improvements in the support system architecture and software will expand opportunities for testing and fully implementing the support system. Copyright US Government 2013

Suggested Citation

  • Alex Coletti & Peter Howe & Brent Yarnal & Nathan Wood, 2013. "A support system for assessing local vulnerability to weather and climate," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 999-1008, January.
  • Handle: RePEc:spr:nathaz:v:65:y:2013:i:1:p:999-1008
    DOI: 10.1007/s11069-012-0366-3
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    References listed on IDEAS

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    1. Dagmar Schröter & Colin Polsky & Anthony Patt, 2005. "Assessing vulnerabilities to the effects of global change: an eight step approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 10(4), pages 573-595, October.
    2. Smith, Kevin & Barrett, Christopher B. & Box, Paul W., 2000. "Participatory Risk Mapping for Targeting Research and Assistance: With an Example from East African Pastoralists," World Development, Elsevier, vol. 28(11), pages 1945-1959, November.
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    1. Aretano, Roberta & Semeraro, Teodoro & Petrosillo, Irene & De Marco, Antonella & Pasimeni, Maria Rita & Zurlini, Giovanni, 2015. "Mapping ecological vulnerability to fire for effective conservation management of natural protected areas," Ecological Modelling, Elsevier, vol. 295(C), pages 163-175.
    2. Bing Wang & Ruo-Yu Ke & Xiao-Chen Yuan & Yi-Ming Wei, 2014. "China's regional assessment of renewable energy vulnerability to climate change," CEEP-BIT Working Papers 52, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Hwikyung Chun & Seokho Chi & Bon Gang Hwang, 2017. "A Spatial Disaster Assessment Model of Social Resilience Based on Geographically Weighted Regression," Sustainability, MDPI, vol. 9(12), pages 1-16, December.
    4. Wang, Bing & Ke, Ruo-Yu & Yuan, Xiao-Chen & Wei, Yi-Ming, 2014. "China׳s regional assessment of renewable energy vulnerability to climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 185-195.
    5. Helmke-Long, Laura & Carley, Sanya & Konisky, David M., 2022. "Municipal government adaptive capacity programs for vulnerable populations during the U.S. energy transition," Energy Policy, Elsevier, vol. 167(C).

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