Hierarchical and networked analysis of resilience factors in mountain communities in Southwest China

Yun-fei Zhao, Jian-min Cai, Lan Tang, Hai-bo Li, Shi-yu Hu and Hui-ge Xing ()
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Yun-fei Zhao: Sichuan University
Jian-min Cai: Sichuan University
Lan Tang: Sichuan University
Hai-bo Li: Sichuan University
Shi-yu Hu: Sichuan University
Hui-ge Xing: Sichuan University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2024, vol. 120, issue 2, No 22, 1519-1556

Abstract: Abstract Communities' pre-disaster resistance, disaster response, and post-disaster recovery processes are all affected by the level of resilience. This manuscript proposes a framework for the study of factors influencing the resilience of mountain communities, with the aim of clarifying the direction of transmission of the influencing relationships of the factors and identifying the key influencing factors. The study explores the characteristics of resilience influences based on community resilience and complex adaptive systems theory, uses an expert survey method to determine the binary relationships between influencing factors, and uses adversarial interpretive structural modelling and social network analysis methods to analyse influencing factors in a hierarchical and networked manner. Finally, key factors are discussed from four composite theoretical perspectives. We found that (1) infrastructure has the most fundamental impact on the factors, (2) information access is most easily influenced by other factors, (3) residents’ place attachment and sense of belonging has a significant impact on other factors in resilience-building practices, and (4) emergency planning and management organisations play a bridging role in the system of influencing factors. The results can help community managers clarify resilience management priorities, allocate management resources more rationally, and provide theoretical guidance for improving community resilience.

Keywords: Community resilience; Mountain disaster; Influencing factors; Complex adaptive systems theory; Social network analysis (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11069-023-06249-7

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