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Multi-Criteria Seismic Risk Assessment Based on Combined Weight-TOPSIS Model and CF-Logistic Regression Model—A Case Study of Songyuan City, China

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  • Jiale Zhu

    (College of Jilin Emergency Management, Changchun Institute of Technology, Changchun 130012, China)

  • Yichen Zhang

    (College of Jilin Emergency Management, Changchun Institute of Technology, Changchun 130012, China)

  • Jiquan Zhang

    (Institute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun 130024, China)

  • Yanan Chen

    (College of Jilin Emergency Management, Changchun Institute of Technology, Changchun 130012, China)

  • Yijun Liu

    (College of Jilin Emergency Management, Changchun Institute of Technology, Changchun 130012, China)

  • Huanan Liu

    (College of Surveying and Mapping Engineering, Changchun Institute of Technology, Changchun 130021, China)

Abstract

Urban seismic hazards are natural disasters caused by earthquakes in urban areas, which may lead to serious casualties, the collapse of buildings, infrastructure damage, and other impacts, require huge social resources for recovery and reconstruction, and even affect the security stability and sustainable development of the area. This paper adopts the research idea of “Risk = Hazard × Exposure × Vulnerability ÷ Emergency response and recovery capability” and constructs an evaluation system containing 24 representative indicators on this basis. The CF-logistic regression model is applied in the study to calculate the seismic hazard, while the combined weight-TOPSIS model is used to assess the vulnerability of urban hazard-bearing body. Lastly, the study conducts multi-criteria seismic risk evaluation using the GIS platform. The results show that the overall seismic risk in Songyuan is moderate, with 18.66% of the medium-risk area, 37.68% of the very low risk area, 33.96% of the low-risk area, 8.47% of the high-risk area, and 1.23% of the very high-risk area. The significance of this study is to provide a scientific basis for formulating corresponding disaster prevention and mitigation measures and emergency plans, improving urban disaster prevention and emergency response capabilities, reducing urban earthquake disaster losses, and helping to achieve safe and stable urban development.

Suggested Citation

  • Jiale Zhu & Yichen Zhang & Jiquan Zhang & Yanan Chen & Yijun Liu & Huanan Liu, 2023. "Multi-Criteria Seismic Risk Assessment Based on Combined Weight-TOPSIS Model and CF-Logistic Regression Model—A Case Study of Songyuan City, China," Sustainability, MDPI, vol. 15(14), pages 1-28, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:11216-:d:1196969
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    References listed on IDEAS

    as
    1. V. Martins & Delta Silva & Pedro Cabral, 2012. "Social vulnerability assessment to seismic risk using multicriteria analysis: the case study of Vila Franca do Campo (São Miguel Island, Azores, Portugal)," 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. 62(2), pages 385-404, June.
    2. Navdeep Agrawal & Laxmi Gupta & Jagabandhu Dixit, 2021. "Assessment of the Socioeconomic Vulnerability to Seismic Hazards in the National Capital Region of India Using Factor Analysis," Sustainability, MDPI, vol. 13(17), pages 1-19, August.
    3. Yi Peng, 2015. "Regional earthquake vulnerability assessment using a combination of MCDM methods," Annals of Operations Research, Springer, vol. 234(1), pages 95-110, November.
    4. Ilan Noy & Rio Yonson, 2018. "Economic Vulnerability and Resilience to Natural Hazards: A Survey of Concepts and Measurements," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    5. Sukanta Malakar & Abhishek K. Rai, 2022. "Earthquake vulnerability in the Himalaya by integrated multi-criteria decision models," 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. 111(1), pages 213-237, March.
    6. Alexandru Banica & Lucian Rosu & Ionel Muntele & Adrian Grozavu, 2017. "Towards Urban Resilience: A Multi-Criteria Analysis of Seismic Vulnerability in Iasi City (Romania)," Sustainability, MDPI, vol. 9(2), pages 1-17, February.
    7. Yuxin Zhu & Dazuo Tian & Feng Yan, 2020. "Effectiveness of Entropy Weight Method in Decision-Making," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-5, March.
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