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Evolution mechanism and driving factors of unconventional emergencies in megacities: an empirical study based on 102 cases in the world

Author

Listed:
  • Dan Zhou

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Chao Fan

    (Henan Polytechnic University)

  • An Chen

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

Abstract

Based on the analysis method of emergency mechanism, this paper sorts out the key information of the evolution mechanism of the 102 unconventional emergencies occurred in 38 megacities in the world. By using DEMATEL model to search the main factors driving the evolution of the original events to sub-events and the mutual influence among them, the following conclusions are drawn: (1) During the development of unconventional emergencies in megacities, the evolutional phenomenon of events exists generally and the evolution paths are different obviously. (2) It can be seen that there is an obvious interactive feedback relationship between the emergency handling measures and event evolution in megalopolis. (3) The main department of disposal, the level of early warning and the pre-arranged planning are the most powerful factors determining the evolution of events. The research results have obvious warning significance to improving the ability of emergency management. As such, the paper is not a study of a failure in emergency cases, but rather the theoretical framework of unconventional emergencies evolution that make actions and decisions stand out as meaningful for the actors involved in dealing with situations of high complexity and uncertainty. In the future, it is necessary to study the driving results caused by various factors and explore the internal driving mechanism between the driving factors and the type of sub-events.

Suggested Citation

  • Dan Zhou & Chao Fan & An Chen, 2020. "Evolution mechanism and driving factors of unconventional emergencies in megacities: an empirical study based on 102 cases in the world," 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. 103(1), pages 513-530, August.
    • Handle: RePEc:spr:nathaz:v:103:y:2020:i:1:d:10.1007_s11069-020-03998-7
    DOI: 10.1007/s11069-020-03998-7
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    References listed on IDEAS

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    1. Cheng-Wu Chen & Chun-Pin Tseng, 2012. "Default risk-based probabilistic decision model for risk management and control," 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. 63(2), pages 659-671, September.
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    Cited by:

    1. Lin Lu & Song Hu & Yuelin Ren & Kai Kang & Beibei Li, 2022. "Research on Extension Design of Emergency Cold Chain Logistics from the Perspective of Carbon Constraints," Sustainability, MDPI, vol. 14(15), pages 1-21, July.

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