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Hurricane evacuation planning using public transportation

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  • Swamy, Rahul
  • Kang, Jee Eun
  • Batta, Rajan
  • Chung, Younshik

Abstract

Just before a hurricane is predicted to strike an urban area, millions of people evacuate from impact zones to safer regions. This paper provides a mass-evacuation strategy using public transportation before the strike of a hurricane. The assumptions made are that the evacuation zones, shelter locations, and the time of strike of the hurricane are pre-determined. The evacuation operations commence when the warnings are issued and end when the hurricane strike is predicted to occur. We propose a multi-stage approach. At the first stage is the planning framework, where pickup locations are determined and assigned to shelters, and an initial set of routes is generated along these locations. This is done by weighing each location based on the accumulated demand, and favoring multiple routes to pass through a location with higher demand. In the next stage, each route is assigned a trip number such that 1) routes with higher demand require more trips, and 2) two successive trips to a route are spaced evenly. A simulation tool has been developed to model the dispatching of the given number of buses, stochastic arrival of evacuees, queueing effects at the pickup locations, and the transportation of evacuees to the safety regions. The results from the simulation presented in this paper serve as an evaluation tool for a route design, and a local search heuristic is proposed to effect positive changes in the route design.

Suggested Citation

  • Swamy, Rahul & Kang, Jee Eun & Batta, Rajan & Chung, Younshik, 2017. "Hurricane evacuation planning using public transportation," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 43-55.
  • Handle: RePEc:eee:soceps:v:59:y:2017:i:c:p:43-55
    DOI: 10.1016/j.seps.2016.10.009
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    References listed on IDEAS

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    Cited by:

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    2. Dian Sun & Lupeng Zhang & Zifeng Su, 2020. "Evacuate or Stay? A Typhoon Evacuation Decision Model in China Based on the Evolutionary Game Theory in Complex Networks," IJERPH, MDPI, vol. 17(3), pages 1-17, January.
    3. Li Zhu & Yeming Gong & Yishui Xu & Jun Gu, 2019. "Emergency relief routing models for injured victims considering equity and priority," Annals of Operations Research, Springer, vol. 283(1), pages 1573-1606, December.
    4. Abioye, Olumide F. & Dulebenets, Maxim A. & Ozguven, Eren Erman & Moses, Ren & Boot, Walter R. & Sando, Thobias, 2020. "Assessing perceived driving difficulties under emergency evacuation for vulnerable population groups," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    5. Edwards, Dominiqueca R. & Idoko, Faith O. & Vogiatzis, Chrysafis & Davis, Lauren B. & Mirchandani, Pitu, 2023. "Determining optimal fuel delivery strategies under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    6. Monir Sabbaghtorkan & Rajan Batta & Qing He, 2022. "On the analysis of an idealized model to manage gasoline supplies in a short-notice hurricane evacuation," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(3), pages 911-945, September.
    7. Zhao, Xing & Ji, Kang & Xu, Peng & Qian, Wen-wen & Ren, Gang & Shan, Xiao-nian, 2020. "A round-trip bus evacuation model with scheduling and routing planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 285-300.
    8. Dian Sun & Jee Eun Kang & Rajan Batta & Yan Song, 2017. "Optimization of Evacuation Warnings Prior to a Hurricane Disaster," Sustainability, MDPI, vol. 9(11), pages 1-29, November.
    9. Tavana, Madjid & Abtahi, Amir-Reza & Di Caprio, Debora & Hashemi, Reza & Yousefi-Zenouz, Reza, 2018. "An integrated location-inventory-routing humanitarian supply chain network with pre- and post-disaster management considerations," Socio-Economic Planning Sciences, Elsevier, vol. 64(C), pages 21-37.
    10. Singha Mahapatra, Maheswar & Mahanty, Biswajit, 2020. "Policies for managing peak stock of food grains for effective distribution: A case of the Indian food program," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    11. Rodríguez-Espíndola, Oscar & Ahmadi, Hossein & Gastélum-Chavira, Diego & Ahumada-Valenzuela, Omar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel, 2023. "Humanitarian logistics optimization models: An investigation of decision-maker involvement and directions to promote implementation," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    12. Soheyl Khalilpourazari & Seyed Hamid Reza Pasandideh, 2021. "Designing emergency flood evacuation plans using robust optimization and artificial intelligence," Journal of Combinatorial Optimization, Springer, vol. 41(3), pages 640-677, April.

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