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Planning road network restoration and relief distribution under heterogeneous road disruptions

Author

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  • Juliette García-Alviz

    (Universidad del Norte)

  • Gina Galindo

    (Universidad del Norte)

  • Julián Arellana

    (Universidad del Norte)

  • Ruben Yie-Pinedo

    (Universidad del Norte)

Abstract

Disasters are likely to cause disruptions on transportation networks. Such disruptions have the potential of obstructing the performance of post-disaster relief operations, whose objective is to serve the affected population promptly. Therefore, it is important to develop strategic plans for restoring the transportation networks in the aftermath of a disaster. In this study, we address the problem of coordinating road network restoration and relief activities under the presence of heterogeneous types of roads disruptions. In this regard, we present a mathematical model for scheduling and routing restoration machines as well as relief vehicles. The approach seeks a restoration plan that is devoted to providing support to the relief operations. This implies prioritizing road rehabilitations taking into consideration their impact on the efficiency of relief activities. Additionally, we provide a heuristic algorithm to solve large instances of our problem for which commercial optimizers are insufficient. The approach is applied on a realistic case study based on the flooding which occurred in the Mojana region of northern Colombia in 2010–2011.

Suggested Citation

  • Juliette García-Alviz & Gina Galindo & Julián Arellana & Ruben Yie-Pinedo, 2021. "Planning road network restoration and relief distribution under heterogeneous road disruptions," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(4), pages 941-981, December.
    • Handle: RePEc:spr:orspec:v:43:y:2021:i:4:d:10.1007_s00291-021-00644-x
    DOI: 10.1007/s00291-021-00644-x
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    References listed on IDEAS

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    Cited by:

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    2. Hosseini, Yaser & Mohammadi, Reza Karami & Yang, Tony Y., 2024. "A comprehensive approach in post-earthquake blockage prediction of urban road network and emergency resilience optimization," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    3. Nabavi, S.M. & Vahdani, Behnam & Nadjafi, B. Afshar & Adibi, M.A., 2022. "Synchronizing victim evacuation and debris removal: A data-driven robust prediction approach," European Journal of Operational Research, Elsevier, vol. 300(2), pages 689-712.
    4. Karen Castañeda & Omar Sánchez & Rodrigo F. Herrera & Guillermo Mejía, 2022. "Highway Planning Trends: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(9), pages 1-33, May.

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