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

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.

Keywords

• typhoon disaster
• intelligent disaster prevention
• ai technology application
• public satisfaction mode
• emergency management