Abstract In planning evacuation services against the threat of disasters, it is important to optimize pickup point location and rescue vehicle routing decisions while recognizing the risks of service disruptions. In this paper, a reliable location and routing model with backup service plans is proposed to plan targeted strategic evacuation, which minimizes the total expected cost for deployment of pickup stations, rescue vehicle routing, and evacuee assignments and exposure while the service is subject to probabilistic disruptions. We formulate the problem as a mixed-integer non-linear program, and develop two customized solution algorithms, one based on Lagrangian relaxation (LR) and the other based on meta-heuristic, to decompose and solve the problem. Numerical experiments with various parameters are conducted to not only demonstrate the applicability of the proposed model and effectiveness of the solution algorithms, but also to draw managerial insights. The impacts of demand distribution, facility cost, disruption probability, and evacuee exposure risk are assessed in a series of sensitivity analyses, so as to inform agencies how to carefully consider these factors while developing a reliable targeted evacuation service plan.

    Highlights A reliable location and routing model for targeted strategic evacuation under probabilistic service disruptions. Mixed-integer program to optimize pickup stations deployment, rescue vehicle routing, and evacuee assignments. Customized solution algorithms based on Lagrangian relaxation (LR), L-shaped method, and meta-heuristic. Numerical experiments demonstrate the applicability and effectiveness of the proposed model and algorithms.


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    Titel :

    Planning of reliable targeted evacuation under the threat of disasters


    Beteiligte:
    Jiang, Zhoutong (Autor:in) / Shen, Shiyu (Autor:in) / Ouyang, Yanfeng (Autor:in)


    Erscheinungsdatum :

    2023-06-06




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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