Evaluation of Comprehensive Emergency Capacity to Urban Flood Disaster: An Example from Zhengzhou City in Henan Province, China

Xianghai Li, Mengjie Li, Kaikai Cui, Tao Lu, Yanli Xie () and Delin Liu ()
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Xianghai Li: Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China
Mengjie Li: Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China
Kaikai Cui: Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China
Tao Lu: Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China
Yanli Xie: Library, Henan Polytechnic University, Jiaozuo 454000, China
Delin Liu: Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China

Sustainability, 2022, vol. 14, issue 21, 1-16

Abstract: In the context of climate change and urbanization, increasing flood disasters leads to severe losses and impacts on urban inhabitants. In order to enhance urban capacity to cope with floods and reduce losses, the comprehensive emergency-response capacity to flood disaster (CERCF) was studied in Zhengzhou City, which is seriously affected by floods. Firstly, the evaluation index system of flood emergency capacity was constructed from three aspects, including pre-disaster prevention capacity, during-disaster disposal capacity and post-disaster recovery capacity. Secondly, the weight of each index was calculated by the combination of the entropy weight method and the coefficient of variation method, and the evaluation model was established by the comprehensive index method. Thirdly, the CERCF of Zhengzhou City was classified into three grades by the Jenks natural-breakpoint classification method. Finally, the contribution model was used to reveal the contribution factors of flood emergency capacity in Zhengzhou city. The following beneficial conclusions were drawn: (1) The overall CERCF of Zhengzhou City was on a low level. The proportions of the study area at low, medium and high levels were 58.33%, 33.33% and 8.34%, respectively. Spatially, the CERCF was high in central regions and low in in the west and east parts of Zhengzhou City. (2) It was found that PDPC and PDRC made the greatest contribution, while DDDC has a relatively low contribution degree.

Keywords: flood disasters; coefficient of variation; contribution analysis; disaster prevention and mitigation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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