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Optimal evacuation planning using staging and routing

Author

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  • D R Bish

    (Grado Department of Industrial and Systems Engineering (0118), Virginia Tech, Blackburg, VA, USA)

  • H D Sherali

    (Grado Department of Industrial and Systems Engineering (0118), Virginia Tech, Blackburg, VA, USA)

  • A G Hobeika

    (Via Department of Civil and Environmental Engineering, Virginia Tech, Blackburg, VA, USA)

Abstract

Evacuation is an important disaster management tool. Evacuating a large region by automobile (the most commonly used mode) is a difficult task, especially as high levels of traffic congestion often form. This paper studies the use of demand-based strategies, specifically, the staging and routing of evacuees. These strategies attempt to manage demand in order to reduce or eliminate congestion. A strategic mixed-integer programming planning model that accounts for evacuation dynamics and congestion is used to study these strategies. The strategies adopted incorporate different evacuee types based on destination requirements and shelter capacity restrictions. The main objective studied is to minimize the network clearance time. We examine the structure of optimal strategies, yielding insights into the use of staging and routing in evacuation management. These insights are then used to develop effective solution procedures. To demonstrate the efficacy of the proposed solution technique, we provide computational experience using a large realistic example based on Virginia Beach.

Suggested Citation

  • D R Bish & H D Sherali & A G Hobeika, 2014. "Optimal evacuation planning using staging and routing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(1), pages 124-140, January.
    • Handle: RePEc:pal:jorsoc:v:65:y:2014:i:1:p:124-140
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    Cited by:

    1. Alf Kimms & Marc Maiwald, 2017. "An exact network flow formulation for cell‐based evacuation in urban areas," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(7), pages 547-555, October.
    2. Karabuk, Suleyman & Manzour, Hasan, 2019. "A multi-stage stochastic program for evacuation management under tornado track uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 128-151.
    3. Bayram, Vedat & Yaman, Hande, 2024. "A joint demand and supply management approach to large scale urban evacuation planning: Evacuate or shelter-in-place, staging and dynamic resource allocation," European Journal of Operational Research, Elsevier, vol. 313(1), pages 171-191.
    4. Diaz, Rafael & Behr, Joshua G. & Acero, Beatriz, 2022. "Coastal housing recovery in a postdisaster environment: A supply chain perspective," International Journal of Production Economics, Elsevier, vol. 247(C).

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