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Site Selection and Layout of Material Reserve Based on Emergency Demand Graduation under Large-Scale Earthquake

Author

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  • Xinxin Yan

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100000, China)

  • Hanping Hou

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100000, China)

  • Jianliang Yang

    (School of Economics and Management, Beijing University of Chemical Technology, Beijing 100000, China)

  • Jiaqi Fang

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100000, China)

Abstract

Reasonable siting layout of reserve emergency supplies plays a critical role in rapid response and accurate rescue after disaster. People’s life safety and health, as well as the psychological satisfaction brought by the government’s excellent emergency rescue level, is an important guarantee for maintaining social stability and sustainable development. Based on the coverage model, considering demand graduation, this paper develops a bi-objective optimization model to determine the optimal location plan of graduated supplies by maximizing the rescue satisfaction and minimizing the number of warehouses. A heuristic multi-center clustering location algorithm is designed to solve the model. This model is applied to the prepositioning of emergency supplies in an earthquake affected area in Sichuan province, China to verify the effectiveness of the model and algorithm. Finally, the paper discusses the influence of demand graduation on the location of emergency supplies. The results show that reasonable location planning of different levels of supplies can effectively improve the rescue satisfaction.

Suggested Citation

  • Xinxin Yan & Hanping Hou & Jianliang Yang & Jiaqi Fang, 2021. "Site Selection and Layout of Material Reserve Based on Emergency Demand Graduation under Large-Scale Earthquake," Sustainability, MDPI, vol. 13(3), pages 1-15, January.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1236-:d:486615
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    References listed on IDEAS

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    1. Linet Özdamar & Ediz Ekinci & Beste Küçükyazici, 2004. "Emergency Logistics Planning in Natural Disasters," Annals of Operations Research, Springer, vol. 129(1), pages 217-245, July.
    2. Tingting Cui & Yanfeng Ouyang & Zuo-Jun Max Shen, 2010. "Reliable Facility Location Design Under the Risk of Disruptions," Operations Research, INFORMS, vol. 58(4-part-1), pages 998-1011, August.
    3. Sheu, Jiuh-Biing, 2007. "An emergency logistics distribution approach for quick response to urgent relief demand in disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(6), pages 687-709, November.
    4. Masoud Mahootchi & Sajjad Golmohammadi, 2018. "Developing a new stochastic model considering bi-directional relations in a natural disaster: a possible earthquake in Tehran (the Capital of Islamic Republic of Iran)," Annals of Operations Research, Springer, vol. 269(1), pages 439-473, October.
    5. Moreno, Alfredo & Alem, Douglas & Ferreira, Deisemara & Clark, Alistair, 2018. "An effective two-stage stochastic multi-trip location-transportation model with social concerns in relief supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1050-1071.
    6. Tofighi, S. & Torabi, S.A. & Mansouri, S.A., 2016. "Humanitarian logistics network design under mixed uncertainty," European Journal of Operational Research, Elsevier, vol. 250(1), pages 239-250.
    7. Akbarpour, Mina & Ali Torabi, S. & Ghavamifar, Ali, 2020. "Designing an integrated pharmaceutical relief chain network under demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    8. Galindo, Gina & Batta, Rajan, 2013. "Prepositioning of supplies in preparation for a hurricane under potential destruction of prepositioned supplies," Socio-Economic Planning Sciences, Elsevier, vol. 47(1), pages 20-37.
    9. Erbeyoğlu, Gökalp & Bilge, Ümit, 2020. "A robust disaster preparedness model for effective and fair disaster response," European Journal of Operational Research, Elsevier, vol. 280(2), pages 479-494.
    10. Bimal Kanti Paul & Bidhan Acharya & Kabita Ghimire, 2017. "Effectiveness of earthquakes relief efforts in Nepal: opinions of the survivors," 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. 85(2), pages 1169-1188, January.
    11. Beraldi, P. & Bruni, M.E., 2009. "A probabilistic model applied to emergency service vehicle location," European Journal of Operational Research, Elsevier, vol. 196(1), pages 323-331, July.
    12. Serhan Duran & Marco A. Gutierrez & Pinar Keskinocak, 2011. "Pre-Positioning of Emergency Items for CARE International," Interfaces, INFORMS, vol. 41(3), pages 223-237, June.
    13. Lu, Chung-Cheng, 2013. "Robust weighted vertex p-center model considering uncertain data: An application to emergency management," European Journal of Operational Research, Elsevier, vol. 230(1), pages 113-121.
    14. Cui, Tingting & Ouyang, Yanfeng & Shen, Zuo-Jun Max J, 2010. "Reliable Facility Location Design under the Risk of Disruptions," University of California Transportation Center, Working Papers qt5sh2c7pw, University of California Transportation Center.
    15. S. L. Hakimi, 1964. "Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph," Operations Research, INFORMS, vol. 12(3), pages 450-459, June.
    16. Li, Anna C.Y. & Nozick, Linda & Xu, Ningxiong & Davidson, Rachel, 2012. "Shelter location and transportation planning under hurricane conditions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 715-729.
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    Cited by:

    1. Pingping Cao & Jin Zheng & Mingyang Li, 2023. "Post-Earthquake Scheduling of Rescuers: A Method Considering Multiple Disaster Areas and Rescuer Collaboration," Sustainability, MDPI, vol. 15(15), pages 1-22, July.
    2. Xing Ju & Yunxiao Fan & Tianqi Li & Yi Niu & Hongkun Liang & Ying Wang & Chenyu Hao & Liguo Jiao & Xi Xu, 2023. "Method for site selection of relief supply warehouses in earthquakes with Ms ≥ 7—a case study of western Yunnan, 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. 116(3), pages 3495-3520, April.
    3. Zhuang Wu & Chenjun Liu & Zhiying Yao & Yi Zhang, 2022. "Research on Optimizing the Location and Layout of National Emergency Material Reserve," Sustainability, MDPI, vol. 14(23), pages 1-13, November.

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