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Research on Community Resilience Improvement Path Based on Fuzzy Cognitive Map

In: Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)

Author

Listed:
  • Weijing LIANG

    (Taiyuan University of Technology, School of Economics and Management)

  • Ye XUE

    (Taiyuan University of Technology, School of Economics and Management)

  • Ying LI

    (Taiyuan University of Technology, School of Economics and Management)

  • Hao Dong WU

    (Taiyuan University of Technology, School of Economics and Management)

  • Jing XU

    (Taiyuan University of Technology, School of Economics and Management)

Abstract

ABSTRACT It has become more important to build more inclusive, flexible and resilient communities to effective disaster prevention and mitigation, as global disaster risks increase. Based on the definition of the concept of community resilience, this paper intends to analyze the influencing factors of community resilience systematically, to screen the key paths for community resilience improvement by method DEMATEL and the maximum average difference entropy, then the fuzzy cognitive graph model will be used to simulate and analyze the effective improvement path of community resilience. Research shows that: the important influencing factors of community resilience can be divided into three categories: input factors, mediation factors and output factors, according to their nonlinear relationship. And input factors are the core factors that should be taken seriously. Based on input factors, four key paths that affect the improvement of community resilience are screened out. Finally, the fuzzy cognitive graph model can be used to further determine the path that can effectively improve community resilience. Scientific understanding of the key influencing factors and development paths of community resilience under the new risk situation is of great practical significance for accurately improving the level of community resilience and protecting the safety of residents' lives and properties.

Suggested Citation

  • Weijing LIANG & Ye XUE & Ying LI & Hao Dong WU & Jing XU, 2023. "Research on Community Resilience Improvement Path Based on Fuzzy Cognitive Map," Advances in Economics, Business and Management Research, in: Sen Qiao & Hongbin Cao & Aiwen Liu & Xueliang Chen & Tiefei Li (ed.), Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022), pages 313-322, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-194-4_44
    DOI: 10.2991/978-94-6463-194-4_44
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