应急响应
准备
模糊逻辑
模棱两可
熵(时间箭头)
计算机科学
应急管理
业务
风险分析(工程)
环境规划
政治学
地理
人工智能
医疗急救
医学
物理
量子力学
法学
程序设计语言
作者
Ningzhou Shen,Xinyao Guo,Jia-Wei Cui,Zhengqi Wu
出处
期刊:Tehnicki Vjesnik-technical Gazette
[Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering i]
日期:2024-04-23
卷期号:31 (3)
被引量:5
标识
DOI:10.17559/tv-20231116001115
摘要
Public emergencies are occurring with increasing frequency worldwide, leading to what is often referred to as a high-risk society. Amid various public emergencies, urban communities take on a more prominent role. However, studies on assessing the emergency preparedness and response capacity of urban communities are currently limited. To evaluate the essential factors, both inherent and external, that affect the emergency management capacities of urban communities, an index system for assessing community emergency preparedness and response capacity was developed by using the theory of the emergency management cycle. Acknowledging the complexity and ambiguity of emergency preparedness and response capacity within urban communities, a multilayer fuzzy comprehensive evaluation model was established using the entropy weight method. This model was then applied to assess the emergency preparedness and response capacity of communities against the backdrop of the COVID-19 public emergency. Results show that the assessment outcomes generated by the multilayer fuzzy comprehensive evaluation model, employing the entropy weight method, align with the real-world situation, signifying the soundness and effectiveness of the selected methods and index system. The conclusion offers a novel basis and methodology for evaluating the emergency preparedness and response capacity of urban communities, holding considerable practical value.
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