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Priority-Oriented Route Network Planning for Evacuation in Constrained Space Scenarios

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Listed:
  • Yi Hong

    (Beijing Institute of Petrochemical Technology)

  • Deying Li

    (Renmin University of China)

  • Qiang Wu

    (China University of Mining and Technology, Beijing)

  • Hua Xu

    (Beijing Institute of Petrochemical Technology)

Abstract

Evacuation planning in three-dimensional (3D) constrained space scenarios is an important kind of emergency management problems. In this paper, we investigate a path planning problem in constrained space evacuation for 3D scenarios, named the Priority-based Route Network Constructing Problem, which has two objectives of maximizing the evacuation exits’ utilization efficiency and minimizing the whole evacuation delay. We propose a 3-phase heuristic to construct a route network based on the Minimum Weighted Set Cover. In the experimental evaluation, we compare the proposed algorithm with the existing algorithms and implement our algorithm in underground mine evacuation, which is a typical kind of constrained space scenarios. Both types of results indicate our strategy can enhance the utilization efficiency of the escaping exits and guarantee a tolerable range of the global escaping time-consumption with a low running time.

Suggested Citation

  • Yi Hong & Deying Li & Qiang Wu & Hua Xu, 2019. "Priority-Oriented Route Network Planning for Evacuation in Constrained Space Scenarios," Journal of Optimization Theory and Applications, Springer, vol. 181(1), pages 279-297, April.
    • Handle: RePEc:spr:joptap:v:181:y:2019:i:1:d:10.1007_s10957-018-1386-2
    DOI: 10.1007/s10957-018-1386-2
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    References listed on IDEAS

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    1. Choi, W. & Hamacher, H. W. & Tufekci, S., 1988. "Modeling of building evacuation problems by network flows with side constraints," European Journal of Operational Research, Elsevier, vol. 35(1), pages 98-110, April.
    2. Özdamar, Linet & Demir, Onur, 2012. "A hierarchical clustering and routing procedure for large scale disaster relief logistics planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 591-602.
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