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Multi-Criteria Location Model of Emergency Shelters in Humanitarian Logistics

Author

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  • Shaoqing Geng

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Hanping Hou

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Shaoguang Zhang

    (School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China)

Abstract

Natural disasters can cause serious casualties and economic losses, and emergency shelters are effective measures to reduce disaster risks and protect lives. At present, the location models of refuge facilities often ignore the diversion of shelter from the perspective of humanitarian logistics and the needs of victims. Such models also seldom consider the impact of the pre-storage of relief materials on the location of shelters. In this study, on the basis of the different needs of disaster victims, shelters are divided into two types—basic life and psychological medical service guarantees. While considering the full coverage of shelter needs, capacities, and budget constraints, the shelter distance, the optimized distribution of refugees, and the pre-stock quantity of goods are optimized. The facility service quality is optimized on the basis of qualitative factors. This study proposes a multi-standard constrained site selection model to optimize the pre-disaster shelter site-allocation problem. The model is helpful for decision makers to influence shelter siting and victims’ allocating process through their expertise and to obtain a solution that compromises multiple objectives. In this study, several basic cases are generated from the actual data of certain areas in Sichuan Province, a disaster-prone region in China, to verify the effectiveness of the model.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1759-:d:325530
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    References listed on IDEAS

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    Cited by:

    1. Moddassir Khan Nayeem & Gyu M. Lee, 2021. "Robust Design of Relief Distribution Networks Considering Uncertainty," Sustainability, MDPI, vol. 13(16), pages 1-24, August.
    2. Fan Chen & Sen Liu & Andrea Appolloni, 2020. "Horizontal Coordination of I-LNGOs in the Humanitarian Supply Chain: An Evolutionary Game Approach," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
    3. Reza Asriandi Ekaputra & Changkye Lee & Seong-Hoon Kee & Jurng-Jae Yee, 2022. "Emergency Shelter Geospatial Location Optimization for Flood Disaster Condition: A Review," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    4. Amir Jamali & Amirhossein Ranjbar & Jafar Heydari & Sina Nayeri, 2022. "A multi-objective stochastic programming model to configure a sustainable humanitarian logistics considering deprivation cost and patient severity," Annals of Operations Research, Springer, vol. 319(1), pages 1265-1300, December.
    5. İbrahim Miraç Eligüzel & Eren Özceylan & Gerhard-Wilhelm Weber, 2023. "Location-allocation analysis of humanitarian distribution plans: a case of United Nations Humanitarian Response Depots," Annals of Operations Research, Springer, vol. 324(1), pages 825-854, May.
    6. Jiawei Ge & Xiang Li & Zhuoling Wu & Yurou Sun & Maneerat Kanrak, 2022. "The Distribution of Emergency Logistics Centers under the COVID-19 Lockdown: The Case of Yangtze River Delta Area," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    7. Daniel Perrucci & Hiba Baroud, 2020. "A Review of Temporary Housing Management Modeling: Trends in Design Strategies, Optimization Models, and Decision-Making Methods," Sustainability, MDPI, vol. 12(24), pages 1-19, December.

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