Attributes, challenges and future directions of community resilience

Abstract

With the continuous development of human society, the damage to the natural environment is becoming increasingly large, causing crisis events to occur frequently. In recent years, the study of community resilience is becoming popular among scholars because of its perspective on disaster prevention and mitigation. In this study, we apply database retrieval to untangle community resilience-related papers from multiple directions. We analyze the connotation, attribute, and composition of community, resilience, and community resilience comprehensively by summarizing important issues and research progress in community resilience. Challenges and shortcomings faced by community resilience development are also determined. Moreover, we put forward the research directions that future research can focus on. Through literature review, current research on community resilience focuses on the following aspects: “infrastructure construction,” “crowd in the community,” “economic resilience,” “social capital,” and “measurement of community resilience.” Such research is not yet systematic and relatively decentralized. The attention to collective resilience in the community is relatively weak, which makes achieving the goal of “people-oriented and systematic control” difficult. Therefore, this study states that the development of future community resilience should stand from the perspective of “system of system” and build on knowledge and tools of various relevant domains. Therefore, public needs and participation are highlighted as breakthrough points. The research should integrate infrastructure and economic resilience, social resource allocation, network connection, and other aspects to build a holistic and functional resilient community.

Graphical abstract

Keywords

community resilience / literature analysis / resilience attribute / social resource / future direction

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Acknowledgments

The authors are grateful for the support of the Ministry of Science and Technology (MOST) of China, Ministry of Education of China (MOE), National Natural Science Foundation of China (NSFC) and Tsinghua University. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the funding agencies.

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