Version 1
: Received: 18 May 2023 / Approved: 19 May 2023 / Online: 19 May 2023 (04:36:57 CEST)
How to cite:
Ye, X.; Wang, H. A Study on the Inner Logic of Local Government Emergency Capacity Indicators Based on the G-Dematel-Aism Model. Preprints2023, 2023051377. https://doi.org/10.20944/preprints202305.1377.v1
Ye, X.; Wang, H. A Study on the Inner Logic of Local Government Emergency Capacity Indicators Based on the G-Dematel-Aism Model. Preprints 2023, 2023051377. https://doi.org/10.20944/preprints202305.1377.v1
Ye, X.; Wang, H. A Study on the Inner Logic of Local Government Emergency Capacity Indicators Based on the G-Dematel-Aism Model. Preprints2023, 2023051377. https://doi.org/10.20944/preprints202305.1377.v1
APA Style
Ye, X., & Wang, H. (2023). A Study on the Inner Logic of Local Government Emergency Capacity Indicators Based on the G-Dematel-Aism Model. Preprints. https://doi.org/10.20944/preprints202305.1377.v1
Chicago/Turabian Style
Ye, X. and Haonan Wang. 2023 "A Study on the Inner Logic of Local Government Emergency Capacity Indicators Based on the G-Dematel-Aism Model" Preprints. https://doi.org/10.20944/preprints202305.1377.v1
Abstract
Major emergencies can have a devastating impact on society, becoming a catalyst for social disorder and unrest and a trigger for social or political change. In today's world of frequent emergencies, the emergency management capacity of local governments is key to promoting safe operations and maintaining stability in cities and towns. Aiming to explore the direction and focus of local government emergency management capacity building, this paper establishes a local government emergency capacity evaluation system based on the emergency management process and combines Gray-Dematel, a gray decision laboratory analysis method, and AISM, an adversarial explanatory agency model, to derive the importance and intrinsic relationship among emergency capacity indicators. The algorithm describes the importance degree of each indicator in the system and also helps better understand the intrinsic relationship among the indicators. The outcomes of this research can be used to outline directional suggestions for the development of local government emergency response capacity and provide a new theoretical basis for more effective construction of local government emergency response capacity.
Keywords
Local government emergency management; emergency response capacity; Gray-Dematel; AISM
Subject
Social Sciences, Government
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
