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author:

Zhao, Jiale (Zhao, Jiale.) [1] | Yang, Fuqiang (Yang, Fuqiang.) [2] (Scholars:阳富强) | Guo, Yong (Guo, Yong.) [3] | Ren, Xin (Ren, Xin.) [4]

Indexed by:

SSCI Scopus SCIE

Abstract:

Emergency management research is used to deal with the increasing number of extreme weather threats in urban areas. This paper uses causal analysis based on systems theory (CAST) to review the subway water ingress accident and the government's emergency management actions in Zhengzhou, Henan Province, during the heavy rainstorm disaster on 20 July 2021. The aims of this article are to establish safety control structures at both the enterprise level and the government level, and to systematically analyze the problems in emergency management in Zhengzhou City. Our analysis found that the construction of disaster prevention facilities restricted emergency management. Therefore, we suggest that enterprises and governments not only pay attention to emergency management, but also to the construction of disaster prevention facilities. This article also points out that the system of chief executive responsibility that is implemented in China is becoming a double-edged sword in emergency management. Our study makes recommendations for enhancing the capacities of emergency management, points out the shortcomings of the existing emergency management structure, and provides knowledge gained for future emergency management research.

Keyword:

CAST China emergency management extreme weather urban waterlogging

Community:

  • [ 1 ] [Zhao, Jiale]Fuzhou Univ, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China
  • [ 2 ] [Yang, Fuqiang]Fuzhou Univ, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China
  • [ 3 ] [Guo, Yong]Fuzhou Univ, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China
  • [ 4 ] [Ren, Xin]Delft Univ Technol, Fac Technol Policy & Management, Safety & Secur Sci Grp, NL-2628 BX Delft, Netherlands

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Source :

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH

ISSN: 1661-7827

Year: 2022

Issue: 17

Volume: 19

4 . 6 1 4

JCR@2021

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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