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Classification and Planning Strategies of Multidimensional Resilience Units for Urban Waterlogging: A Case Study of the Old City District in Shijiazhuang, China

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  • Lili Ni

    (School of Architecture and Art Design, Hebei University of Technology, Tianjin 300130, China
    Urban Rural Renewal and Architectural Heritage Protection Center, Hebei University of Technology, Tianjin 300130, China)

  • Jinglun Li

    (School of Architecture and Art Design, Hebei University of Technology, Tianjin 300130, China
    Urban Rural Renewal and Architectural Heritage Protection Center, Hebei University of Technology, Tianjin 300130, China)

  • Aihemaiti Namaiti

    (School of Architecture, Tianjin University, Tianjin 300072, China)

Abstract

The frequency of urban disasters such as waterlogging has markedly increased, highlighting the urgent need to strengthen urban disaster prevention capabilities and resilience. This research, anchored in the resilience characteristics of robustness, redundancy, resource deploy ability, and rapid response, devised a resilience clustering factor system specifically designed for older urban districts. The old city district of Shijiazhuang, China, was selected as the empirical case study area. This research employs the K-Means++ clustering method to analyze the region’s resilience units against waterlogging. Furthermore, it utilizes the method of pedigree classification to categorize the identified ten types of resilience. Secondly, these were subsequently divided into three primary categories based on a spectrum of strengths and weaknesses within each unit: dominant, mixed, and disadvantaged clustering. This categorization unveiled the unique resilience distribution patterns within the area. The findings of this study reveal a pronounced differentiation in resilience types among the units in Shijiazhuang’s old city district. This spatial analysis highlighted a significant heterogeneity, with a tendency towards cluster formation. The spatial distribution of different resilience unit types was found to be uneven, leading to the emergence of clustered, patch-like, and zonal agglomerations. Combined with the unit clustering classification and the mean clustering performance of each factor, the response unit of waterlogging control resilience planning is determined for the study area, and the strategy of resilience waterlogging control and linkage is proposed. By mapping the spectrum of rainwater resilience types across the studied area, this research broadens the scope of resilience evaluation from a traditional vertical-level assessment to a more comprehensive horizontal typological analysis, offering empirical, theoretical insights for future resilience-building endeavors in older urban districts.

Suggested Citation

  • Lili Ni & Jinglun Li & Aihemaiti Namaiti, 2024. "Classification and Planning Strategies of Multidimensional Resilience Units for Urban Waterlogging: A Case Study of the Old City District in Shijiazhuang, China," Sustainability, MDPI, vol. 16(7), pages 1-26, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:2717-:d:1363905
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    References listed on IDEAS

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    1. Min Zhang & Yufu Liu & Yixiong Xiao & Wenqi Sun & Chen Zhang & Yong Wang & Yuqi Bai, 2021. "Vulnerability and Resilience of Urban Traffic to Precipitation in China," IJERPH, MDPI, vol. 18(23), pages 1-13, November.
    2. Juan Huang & Jiangfeng Li & Zhi Huang, 2023. "Identification of Waterlogging-Prone Areas in Nanning from the Perspective of Urban Expansion," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
    3. Fikret Berkes, 2007. "Understanding uncertainty and reducing vulnerability: lessons from resilience thinking," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 41(2), pages 283-295, May.
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