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Measuring the Disaster Resilience of an Urban Community Using ANP‐FCE Method from the Perspective of Capitals

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  • Peng Cui
  • Dezhi Li

Abstract

Objective Facing increasingly frequent disasters, the resilience concept can make up the limitations of traditional community disaster management. This article evaluated the disaster resilience in an urban community from the perspective of capital, and provides measurements for stakeholders to enhance the community resilience. Methods On the basis of selected capital indicators using systematic literature review, the urban community resilience framework is established based on analytic network process and fuzzy comprehensive evaluation. Finally, the results are analyzed using the importance–performance analysis. Results First, 12 indicators within three dimensions of community capitals are identified. Then, the weights of social, economic, and natural capital are calculated as 33, 41, and 26 percent, respectively. Afterward, taking a waterlogging disaster as an example, an aged community acquired a 46.57 score of resilience. The importance–performance quadrant shows the priority of factors to be improved. Conclusion Relationship, norms, demographic characteristics, voluntary activity, physical facilities, communication system, general property, dedicated assets, resources, energy, ecological environment, and artificial environment are considered as key capitals of community resilience. In addition, a general framework to calculate and evaluate the resilience in a community is established that provides a benchmark for rating the resilience of urban communities.

Suggested Citation

  • Peng Cui & Dezhi Li, 2019. "Measuring the Disaster Resilience of an Urban Community Using ANP‐FCE Method from the Perspective of Capitals," Social Science Quarterly, Southwestern Social Science Association, vol. 100(6), pages 2059-2077, October.
    • Handle: RePEc:bla:socsci:v:100:y:2019:i:6:p:2059-2077
    DOI: 10.1111/ssqu.12699
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    Cited by:

    1. Meiling Zhou & Xiuli Feng & Kaikai Liu & Chi Zhang & Lijian Xie & Xiaohe Wu, 2021. "An Alternative Risk Assessment Model of Urban Waterlogging: A Case Study of Ningbo City," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    2. Muhammad Sajjad & Zulfiqar Ali & Mirza Waleed, 2023. "Has Pakistan learned from disasters over the decades? Dynamic resilience insights based on catastrophe progression and geo-information models," 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. 117(3), pages 3021-3042, July.
    3. Marta Bottero & Giulia Datola & Elena De Angelis, 2020. "A System Dynamics Model and Analytic Network Process: An Integrated Approach to Investigate Urban Resilience," Land, MDPI, vol. 9(8), pages 1-26, July.
    4. Zaohong Liu & Zhangzejun Jiang & Chen Xu & Guanjun Cai & Jian Zhan, 2021. "Assessment of provincial waterlogging risk based on entropy weight TOPSIS–PCA method," 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. 108(2), pages 1545-1567, September.

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