Assessment of Urban Community Emergency Preparedness and Response Capacity Using Entropy Weight Method and Multilayer Fuzzy Comprehensive Model

Ningzhou Shen, Xinyao Guo, Jiawei Cui, Zhengqi Wu
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Abstract

: 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.
利用熵权法和多层模糊综合模型评估城市社区应急准备和响应能力
:公共突发事件在全球范围内发生的频率越来越高,导致了人们通常所说的高风险社会。在各种公共突发事件中,城市社区的作用更加突出。然而,目前对城市社区应急准备和响应能力的评估研究还很有限。为了评估影响城市社区应急管理能力的内在和外在的基本因素,利用应急管理循环理论,建立了社区应急准备和响应能力评估指标体系。考虑到城市社区应急准备和响应能力的复杂性和模糊性,利用熵权法建立了多层模糊综合评价模型。然后将该模型应用于以 COVID-19 突发公共事件为背景的社区应急准备和响应能力评估。结果表明,采用熵权法的多层模糊综合评价模型得出的评估结果与实际情况相符,表明所选方法和指标体系的合理性和有效性。该结论为评价城市社区的应急准备和响应能力提供了新的依据和方法,具有相当的实用价值。
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