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Study on Rural Classification and Resilience Evaluation Based on PSR Model: A Case Study of Lvshunkou District, Dalian City, China

Author

Listed:
  • Jing Wang

    (School of Architecture, Tianjin Chengjian University, Tianjin 300384, China)

  • Ying Wang

    (School of Architecture, Tianjin Chengjian University, Tianjin 300384, China)

  • Geng Lin

    (School of Architecture, Tianjin Chengjian University, Tianjin 300384, China)

Abstract

When implementing a rural revitalization strategy, it is of great significance to understand how to identify potential risks in different types of villages and how to achieve resilience governance. In this paper, a rural classification evaluation method is proposed from the perspective of resilience. The stress–state–response model and the TOPSIS method were used to analyze the resilience risks in different types of villages in Lvshunkou District. The results showed that the comprehensive resilience of rural areas in Lvshunkou District has the spatial distribution characteristics of “high center and low wings”, and the spatial differences of each resilience subsystem are different: the pressure resilience subsystem shows a trend of “increasing step by step” from the coast to the inland, the state resilience subsystem shows a trend of “decreasing step by step from the center to the two wings”, and the response resilience subsystem shows a trend of “blocky aggregation and balanced distribution”. This paper further proposes systematic reconstruction strategies for rural resilience related to the four aspects of rural space, industry, ecology, and governance, providing development ideas for measuring rural resilience indicators in Lvshunkou District and realizing long-term governance in different types of villages.

Suggested Citation

  • Jing Wang & Ying Wang & Geng Lin, 2024. "Study on Rural Classification and Resilience Evaluation Based on PSR Model: A Case Study of Lvshunkou District, Dalian City, China," Sustainability, MDPI, vol. 16(15), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6708-:d:1450453
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    References listed on IDEAS

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