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Planning Emergency Shelters for Urban Disaster Resilience: An Integrated Location-Allocation Modeling Approach

Author

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  • Laijun Zhao

    (Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China
    China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200030, China
    Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200030, China)

  • Huiyong Li

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Yan Sun

    (Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China
    Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200030, China)

  • Rongbing Huang

    (School of Administrative Studies, York University, Toronto, ON M3J 1P3, Canada)

  • Qingmi Hu

    (Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China
    Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200030, China)

  • Jiajia Wang

    (Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China
    Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200030, China)

  • Fei Gao

    (Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China
    Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200030, China)

Abstract

In recent years, extreme natural hazards threaten cities more than ever due to contemporary society’s high vulnerability in cities. Hence, local governments need to implement risk mitigation and disaster operation management to enhance disaster resilience in cities. Transforming existing open spaces within cities into emergency shelters is an effective method of providing essential life support and an agent of recovery in the wake of disasters. Emergency shelters planning must identify suitable locations for shelters and reasonably allocate evacuees to those shelters. In this paper, we first consider both the buildings’ post-disaster condition and the human choice factor that affect evacuees’ decision, and propose a forecasting method to estimate the time-varying shelter demand. Then we formulate an integrated location-allocation model that is used sequentially: an emergency shelter location model to satisfy the time-varying shelter demand in a given urban area with a goal of minimizing the total setup cost of locating the shelters and an allocation model that allocates the evacuees to shelters with a goal of minimizing their total evacuation distance. We also develop an efficient algorithm to solve the model. Finally, we propose an emergency shelters planning based on a case study of Shanghai, China.

Suggested Citation

  • Laijun Zhao & Huiyong Li & Yan Sun & Rongbing Huang & Qingmi Hu & Jiajia Wang & Fei Gao, 2017. "Planning Emergency Shelters for Urban Disaster Resilience: An Integrated Location-Allocation Modeling Approach," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:2098-:d:118906
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    References listed on IDEAS

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    1. Diehlmann, Florian & Klein, Miriam & Wiens, Marcus & Lüttenberg, Markus & Schultmann, Frank, 2020. "On the value of accurate demand information in public-private emergency collaborations," Working Paper Series in Production and Energy 51, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    2. Wei Chen & Guofang Zhai & Chongqiang Ren & Yijun Shi & Jianxin Zhang, 2018. "Urban Resources Selection and Allocation for Emergency Shelters: In a Multi-Hazard Environment," IJERPH, MDPI, vol. 15(6), pages 1-17, June.
    3. 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.
    4. Huang, Cheng-Hao & Lin, Yi-Kuei, 2024. "Rescue and safety system development and performance evaluation by network reliability," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    5. 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.
    6. Hiranya Sritart & Hiroyuki Miyazaki & Sakiko Kanbara & Takashi Hara, 2020. "Methodology and Application of Spatial Vulnerability Assessment for Evacuation Shelters in Disaster Planning," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    7. Yijun Shi & Guofang Zhai & Lihua Xu & Quan Zhu & Jinyang Deng, 2019. "Planning Emergency Shelters for Urban Disasters: A Multi-Level Location–Allocation Modeling Approach," Sustainability, MDPI, vol. 11(16), pages 1-19, August.
    8. Xiujuan Zhao & Jianguo Chen & Wei Xu & Shiyan Lou & Peng Du & Hongyong Yuan & Kuai Peng Ip, 2019. "A Three-Stage Hierarchical Model for An Earthquake Shelter Location-Allocation Problem: Case Study of Chaoyang District, Beijing, China," Sustainability, MDPI, vol. 11(17), pages 1-18, August.
    9. Xiaomeng Zhu & Zhijun Tong & Xingpeng Liu & Xiangqian Li & Pengda Lin & Tong Wang, 2018. "An Improved Two-Step Floating Catchment Area Method for Evaluating Spatial Accessibility to Urban Emergency Shelters," Sustainability, MDPI, vol. 10(7), pages 1-15, June.
    10. Xiaoxin Zhu & Yanyan Wang & David Regan & Baiqing Sun, 2020. "A Quantitative Study on Crucial Food Supplies after the 2011 Tohoku Earthquake Based on Time Series Analysis," IJERPH, MDPI, vol. 17(19), pages 1-13, September.
    11. 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.
    12. Xiaoxin Zhu & David Regan & Baiqing Sun, 2022. "Does exploring the characteristics of emergency supplies really matter for disaster response operations?," 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. 110(1), pages 175-189, January.
    13. David Koren & Katarina Rus, 2019. "The Potential of Open Space for Enhancing Urban Seismic Resilience: A literature Review," Sustainability, MDPI, vol. 11(21), pages 1-20, October.
    14. Yoon Ha Lee & Ji Soo Lee & Seung Chan Baek & Won Hwa Hong, 2020. "Spatial Equity with Census Population Data vs. Floating Population Data: The Distribution of Earthquake Evacuation Shelters in Daegu, South Korea," Sustainability, MDPI, vol. 12(19), pages 1-17, September.
    15. Ljubomir Jankovic, 2018. "Designing Resilience of the Built Environment to Extreme Weather Events," Sustainability, MDPI, vol. 10(1), pages 1-14, January.

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