Flood Risk Assessment and Management in Urban Communities: The Case of Communities in Wuhan

Wenyan Pan, Mengwei Yan, Zhikun Zhao and Muhammad Awais Gulzar ()
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Wenyan Pan: School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
Mengwei Yan: School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
Zhikun Zhao: School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
Muhammad Awais Gulzar: University of Waikato Joint Institute, Zhejiang University City College, Hangzhou 310015, China

Land, 2022, vol. 12, issue 1, 1-14

Abstract: The likelihood and uncertainty of severe rains and flooding in the middle basin of the Yangtze River have grown due to global warming and growing urbanization. A flood risk assessment index system is built based on resilience theory to assess community flood risk in a significantly changing environment, with communities serving as the primary body to manage flood risk in cities. The flood risk level of communities in Wuhan from 2011 to 2020 was assessed using the Analytic Hierarchical Process (AHP) and Dempster–Shafer (DS) evidence theory, utilizing an example of the typical Wuhan community. The findings indicate that: (1) The weight of hazard-causing factors is the largest and has the greatest influence on the risk of flooding in the community. (2) When looking at time series, the risk of hazard-causing factors gradually rises, while the risks associated with systemic governance, protective works, and community vulnerability steadily decline. Building resilient communities and enhancing flood risk management capability should be priorities for the government, local communities, and citizens.

Keywords: flood risk assessment; resilience theory; AHP and DS evidence theory; community governance (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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