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Site Selection Models in Natural Disaster Shelters: A Review

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  • Yunjia Ma

    (Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Academy of Disaster Reduction and Emergency Management, Ministry of Emergency Management and Ministry of Education, Beijing Normal University, Beijing 100875, China)

  • Wei Xu

    (Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Academy of Disaster Reduction and Emergency Management, Ministry of Emergency Management and Ministry of Education, Beijing Normal University, Beijing 100875, China)

  • Lianjie Qin

    (Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Academy of Disaster Reduction and Emergency Management, Ministry of Emergency Management and Ministry of Education, Beijing Normal University, Beijing 100875, China)

  • Xiujuan Zhao

    (Department of Engineering Physics, Tsinghua University, Beijing 100084, China)

Abstract

Constructing natural disaster shelters is important for disaster emergency management, and site selection models provide a feasible technique and method. This paper presents site selection models for natural disaster shelters. A synthesis of the types, objectives, constraints, methods of solutions, targeted disasters and applications of different site selection models for natural disaster shelters is investigated. Shelter location models can be classified as single-objective models, multiobjective models and hierarchical models, according to the objective and hierarchy type. Minimizing the evacuation distance or time, shelter construction cost or number, and the total risk are the general objectives of the models. Intelligent optimization algorithms are widely used to solve the models, instead of the Geographic Information System (GIS) method, due to the complexity of the problem. The results indicate that the following should be the main focuses of future works: How to set a model that can be applied for determining the shelter locations of multiple disasters; how to consider the uncertainty in the models; how to improve the existing algorithms or models to solve large-scale location-allocation problems; and how to develop a new resource-saving model that is consistent with the concept of sustainable development, as advocated by shelter planners and policy makers, which can be applied in real situations. This study allows those undertaking shelter location research to situate their work within the context of shelter planning.

Suggested Citation

  • Yunjia Ma & Wei Xu & Lianjie Qin & Xiujuan Zhao, 2019. "Site Selection Models in Natural Disaster Shelters: A Review," Sustainability, MDPI, vol. 11(2), pages 1-24, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:2:p:399-:d:197630
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    References listed on IDEAS

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    5. Slamet Setio Wigati & Bertha Maya Sopha & Anna Maria Sri Asih & Heri Sutanta, 2023. "Geographic Information System Based Suitable Temporary Shelter Location for Mount Merapi Eruption," Sustainability, MDPI, vol. 15(3), pages 1-26, January.
    6. S. M. Amin Hosseini & Rama Ghalambordezfooly & Albert de la Fuente, 2022. "Sustainability Model to Select Optimal Site Location for Temporary Housing Units: Combining GIS and the MIVES–Knapsack Model," Sustainability, MDPI, vol. 14(8), pages 1-23, April.
    7. Shaoqing Geng & Hanping Hou & Shaoguang Zhang, 2020. "Multi-Criteria Location Model of Emergency Shelters in Humanitarian Logistics," Sustainability, MDPI, vol. 12(5), pages 1-21, February.
    8. Jie Zhou & Wenyi Liu & Yu Lin & Benyong Wei & Yaohui Liu, 2024. "The Evaluation and Comparison of Resilience for Shelters in Old and New Urban Districts: A Case Study in Kunming City, China," Sustainability, MDPI, vol. 16(7), pages 1-15, April.
    9. Erkan Celik, 2024. "Analyzing the Shelter Site Selection Criteria for Disaster Preparedness Using Best–Worst Method under Interval Type-2 Fuzzy Sets," Sustainability, MDPI, vol. 16(5), pages 1-22, March.
    10. Yunjia Ma & Sijia Chen & Kaiwen Zhang & Yumeng Yang, 2022. "Temporal and Spatial Pattern Evolution and Influencing Factors of the National Comprehensive Disaster-Reduction Demonstration Community in China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.

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