Research on public satisfaction of government typhoon emergency management under artificial intelligence: An empirical analysis based on Xuwen County

Binger Chen; Huimin Zhang; Ruiqian Sun; Jiawei Pan; Binger Chen; Huimin Zhang; Ruiqian Sun; Jiawei Pan

doi:10.3934/geosci.2023026

AIMS Geosciences

2023, Volume 9, Issue 3: 466-491. doi: 10.3934/geosci.2023026

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Research on public satisfaction of government typhoon emergency management under artificial intelligence: An empirical analysis based on Xuwen County

1.
School of Social and Public Administration, Guangdong University of Foreign Studies, Panyu District, Guangzhou 510006, China
2.
Department of Government and Public Administration, Faculty of Social Sciences, University of Macau, Taipa, Macau, China
3.
School of Public Administration, Zhongnan University of Economics and Law, Wuhan, 430073, China
4.
School of Government/Center for Chinese Public Administration Research, Sun Yat-sen University, Guangzhou 510220, China
† These two authors contributed equally.

Received: 30 January 2023 Revised: 14 May 2023 Accepted: 15 June 2023 Published: 10 July 2023

Typhoon natural disasters belong to one of the four major categories of public safety events. Typhoons have stochastic uncertainty and dynamic complexity, and frequent typhoons often cause heavy casualties and property losses in China's coastal areas, seriously affecting economic development and social stability. With the rapid development of artificial intelligence (AI) technology, intelligent disaster prevention and mitigation will become the trend of future development and a hot spot for research. Based on reviewing the current situation and trend of development, this study compares and analyzes the public satisfaction of communities using traditional technology methods and AI technology applications in typhoon disaster emergency management by constructing a public satisfaction model through the literature review, taking Xuwen County, China, as an example. The study shows that AI technology has an important role in the 3 main aspects of early identification, risk assessment, risk prevention and control, and provides a new technical approach to typhoon disaster emergency management. Finally, we propose the construction scheme of the typhoon emergency management system based on AI.
- typhoon disaster,
- intelligent disaster prevention,
- AI technology application,
- public satisfaction mode,
- emergency management
Citation: Binger Chen, Huimin Zhang, Ruiqian Sun, Jiawei Pan. Research on public satisfaction of government typhoon emergency management under artificial intelligence: An empirical analysis based on Xuwen County[J]. AIMS Geosciences, 2023, 9(3): 466-491. doi: 10.3934/geosci.2023026

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Abstract

Typhoon natural disasters belong to one of the four major categories of public safety events. Typhoons have stochastic uncertainty and dynamic complexity, and frequent typhoons often cause heavy casualties and property losses in China's coastal areas, seriously affecting economic development and social stability. With the rapid development of artificial intelligence (AI) technology, intelligent disaster prevention and mitigation will become the trend of future development and a hot spot for research. Based on reviewing the current situation and trend of development, this study compares and analyzes the public satisfaction of communities using traditional technology methods and AI technology applications in typhoon disaster emergency management by constructing a public satisfaction model through the literature review, taking Xuwen County, China, as an example. The study shows that AI technology has an important role in the 3 main aspects of early identification, risk assessment, risk prevention and control, and provides a new technical approach to typhoon disaster emergency management. Finally, we propose the construction scheme of the typhoon emergency management system based on AI.

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