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Research on the urban resilience evaluation with hybrid multiple attribute TOPSIS method: an example in China

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  • Xiaolin Xun

    (Dalian University of Technology)

  • Yongbo Yuan

    (Dalian University of Technology)

Abstract

Cities are important barriers to protect people’s lives and property in the face of natural disasters, economic fluctuations and epidemic diseases. The evaluation of urban resilience is a hybrid multiple attribute group decision-making problem involving both crisp and fuzzy indicators. In order to evaluate the urban resilience reasonably and quantitatively, an urban resilience evaluation index system is established, including four primary indicators of ecological environment, municipal facilities, economic development and social development, and 28 secondary indicators. An evaluation model based on the theory of intuitionistic fuzzy set and TOPSIS method is proposed. The intuitionistic trapezoidal fuzzy number is used to quantify the fuzzy index and determine the weights of experts. The weight of each index is determined based on the maximizing deviation method. The relevant data of Dalian City from 2013 to 2017 are collected to evaluate the city resilience, and a sensitivity analysis is carried out based on the proposed model. The results may provide insights for the further urban resilience promotion.

Suggested Citation

  • Xiaolin Xun & Yongbo Yuan, 2020. "Research on the urban resilience evaluation with hybrid multiple attribute TOPSIS method: an example in China," 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. 103(1), pages 557-577, August.
    • Handle: RePEc:spr:nathaz:v:103:y:2020:i:1:d:10.1007_s11069-020-04000-0
    DOI: 10.1007/s11069-020-04000-0
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    References listed on IDEAS

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    1. Huchang Liao & Zeshui Xu & Meimei Xia, 2014. "Multiplicative Consistency Of Hesitant Fuzzy Preference Relation And Its Application In Group Decision Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 47-76.
    2. Anna Bozza & Domenico Asprone & Gaetano Manfredi, 2015. "Developing an integrated framework to quantify resilience of urban systems against disasters," 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. 78(3), pages 1729-1748, September.
    3. Guo, Sen & Zhao, Huiru, 2015. "Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective," Applied Energy, Elsevier, vol. 158(C), pages 390-402.
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    Cited by:

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    2. Peng Cui & Yi Liu & Xuan Ju & Tiantian Gu, 2022. "Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities—A Case Study of Nanjing, China," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
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    5. Zhilong Zhao & Zengzeng Hu & Xu Han & Lu Chen & Zhiyong Li, 2024. "Evaluation of Urban Resilience and Its Influencing Factors: A Case Study of the Yichang–Jingzhou–Jingmen–Enshi Urban Agglomeration in China," Sustainability, MDPI, vol. 16(16), pages 1-18, August.
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    7. Lu Liu & Jingjing Pei & Huiquan Wang & Yun Luo, 2023. "The Evaluation and Obstacle Analysis of Urban Safety Resilience Based on Multi-Factor Perspective in Beijing," Land, MDPI, vol. 12(10), pages 1-29, October.
    8. Kunjie Peng & Xiaorong He & Chunxiao Xu, 2023. "Coupling Coordination Relationship and Dynamic Response between Urbanization and Urban Resilience: Case of Yangtze River Delta," Sustainability, MDPI, vol. 15(3), pages 1-25, February.
    9. Yanni Xiong & Changyou Li & Mengzhi Zou & Qian Xu, 2022. "Investigating into the Coupling and Coordination Relationship between Urban Resilience and Urbanization: A Case Study of Hunan Province, China," Sustainability, MDPI, vol. 14(10), pages 1-26, May.
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    11. Jie Huang & Zimin Sun & Minzhe Du, 2022. "Differences and Drivers of Urban Resilience in Eight Major Urban Agglomerations: Evidence from China," Land, MDPI, vol. 11(9), pages 1-18, September.

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