An evaluation of factors influencing the community emergency management under compounding risks perspective

Abstract

Communities in China are proactive in emergency response, significantly mitigating compounding risks and enhancing resilience. There exists a crucial need to analyze the factors influencing community emergency management, to strengthen the overall competencies of emergency response. This study examined the complex interrelationships among 15 identified factors using the Decision Making Trial and Evaluation Laboratory (DEMATEL) - Adversarial Interpretive Structure Model (AISM) modeling techniques. According to the hierarchical structure determined by the AISM, three main elements emerged as critical: emergency management systems, emergency governance models, and emergency intelligence collaboration systems. These findings offer valuable insights for community administrators, providing an in-depth understanding of the vulnerabilities in community emergency management. Such findings can then guide the development of effective strategies to boost resilience and mitigate the impacts of compounding risks on Chinese communities.