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Evaluation and Spatial–Temporal Pattern Evolution of Synergy Degree of Emergency Management for Urban Flood Disasters from the Perspective of Sustainable Development—The Case of Henan, China

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  • Yu Hao

    (Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454003, China
    Laboratory of Emergency Management, Henan Polytechnic University, Jiaozuo 454003, China)

  • Chen Wang

    (School of Public Administration and Emergency Management, Jinan University, Guangzhou 510632, China
    Emergency Management School, Jinan University, Guangzhou 510632, China)

  • Chaolun Sun

    (Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454003, China
    Laboratory of Emergency Management, Henan Polytechnic University, Jiaozuo 454003, China)

  • Delin Liu

    (Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454003, China
    Laboratory of Emergency Management, Henan Polytechnic University, Jiaozuo 454003, China)

Abstract

The management of urban flood disasters is a systematic engineering project that requires a great amount of manpower, material resources, and financial resources, and the interaction and coordination degrees of various elements in the system deeply affect the efficiency of the final governance. According to the theories of synergy, composite systems, and sustainable development, this research first established an evaluation index system to determine the synergy degree of urban flood disaster emergency management from the four dimensions of prevention and preparation, monitoring and early warning, response and rescue, and recovery and reconstruction. Then, the synergy degree was explored by using the developed composite system synergy degree model on the basis of the panel data of 18 prefecture-level cities in Henan Province from 2013 to 2021, and synergy level change characteristics were analyzed from the perspectives of time and space. Finally, the obstacle degree model was applied to explore the obstacle factors affecting synergy degree development. The results showed that the overall level of the urban flood disaster emergency management coordination degree in Henan Province was relatively low, and there were significant differences in synergy among cities. Among them, 12 cities presented mild synergy, and 6 cities showed mild nonsynergy. The spatial correlation of the synergy degree was not stable, which revealed a lack of mature coordination mechanisms for flood disaster emergency management among cities. The analysis of obstacle factors showed that recovery and reconstruction subsystems were the main obstacle systems that affected the synergy degree.

Suggested Citation

  • Yu Hao & Chen Wang & Chaolun Sun & Delin Liu, 2024. "Evaluation and Spatial–Temporal Pattern Evolution of Synergy Degree of Emergency Management for Urban Flood Disasters from the Perspective of Sustainable Development—The Case of Henan, China," Sustainability, MDPI, vol. 16(11), pages 1-19, June.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4730-:d:1407239
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    References listed on IDEAS

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    1. Wei Zhang & Gabriele Villarini & Gabriel A. Vecchi & James A. Smith, 2018. "Urbanization exacerbated the rainfall and flooding caused by hurricane Harvey in Houston," Nature, Nature, vol. 563(7731), pages 384-388, November.
    2. B. Tellman & J. A. Sullivan & C. Kuhn & A. J. Kettner & C. S. Doyle & G. R. Brakenridge & T. A. Erickson & D. A. Slayback, 2021. "Satellite imaging reveals increased proportion of population exposed to floods," Nature, Nature, vol. 596(7870), pages 80-86, August.
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