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A Path-Based Approach for Hazmat Transport Network Design

Author

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  • Vedat Verter

    (Desaultels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada)

  • Bahar Y. Kara

    (Department of Industrial Engineering, Bilkent University, 06800 Bilkent, Ankara, Turkey)

Abstract

The people living and working around the roads used for hazardous material (hazmat) shipments face the risk of suffering undesirable consequences of an accident. The main responsibility to mitigate the hazmat transport risk at a population zone belongs to the government agency with jurisdiction over that region. One of the common policy tools is to close certain road links to vehicles carrying hazmats. In effect, the road network available to dangerous goods carriers can be determined by the regulator. The transport risk in the region, however, is determined by the carriers' routing decisions over the available road network. Thus, the regulator needs to make the road closure decisions so that the total risk resulting from the carriers' route choices is minimized. We provide a path-based formulation for this network design problem. Alternative solutions can be generated by varying the routing options included in the model for each shipment. Each solution corresponds to a certain compromise between the two parties in terms of transport risk and economic viability. The proposed framework can be used for identifying mutually agreeable hazmat transport policies. We present two applications of the methodology to illustrate the insights that can be gained through its use: The first application focuses on hazmat shipments through the highway network of Western Ontario, Canada, whereas the second application studies the problem in a much larger geographical region that covers the provinces of Ontario and Quebec.

Suggested Citation

  • Vedat Verter & Bahar Y. Kara, 2008. "A Path-Based Approach for Hazmat Transport Network Design," Management Science, INFORMS, vol. 54(1), pages 29-40, January.
  • Handle: RePEc:inm:ormnsc:v:54:y:2008:i:1:p:29-40
    DOI: 10.1287/mnsc.1070.0763
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Yan Sun & Maoxiang Lang & Danzhu Wang, 2016. "Bi-Objective Modelling for Hazardous Materials Road–Rail Multimodal Routing Problem with Railway Schedule-Based Space–Time Constraints," IJERPH, MDPI, vol. 13(8), pages 1-31, July.
    2. Tolou Esfandeh & Rajan Batta & Changhyun Kwon, 2018. "Time-Dependent Hazardous-Materials Network Design Problem," Transportation Science, INFORMS, vol. 52(2), pages 454-473, March.
    3. Bronfman, Andrés & Marianov, Vladimir & Paredes-Belmar, Germán & Lüer-Villagra, Armin, 2016. "The maxisum and maximin-maxisum HAZMAT routing problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 316-333.
    4. Fontaine, Pirmin & Crainic, Teodor Gabriel & Gendreau, Michel & Minner, Stefan, 2020. "Population-based risk equilibration for the multimode hazmat transport network design problem," European Journal of Operational Research, Elsevier, vol. 284(1), pages 188-200.
    5. Mohri, Seyed Sina & Mohammadi, Mehrdad & Gendreau, Michel & Pirayesh, Amir & Ghasemaghaei, Ali & Salehi, Vahid, 2022. "Hazardous material transportation problems: A comprehensive overview of models and solution approaches," European Journal of Operational Research, Elsevier, vol. 302(1), pages 1-38.
    6. Liping Liu & Jiaming Li & Lei Zhou & Tijun Fan & Shuxia Li, 2021. "Research on Route Optimization of Hazardous Materials Transportation Considering Risk Equity," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    7. Iranitalab, Amirfarrokh & Khattak, Aemal, 2020. "Probabilistic classification of hazardous materials release events in train incidents and cargo tank truck crashes," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    8. Ditta, A. & Figueroa, O. & Galindo, G. & Yie-Pinedo, R., 2019. "A review on research in transportation of hazardous materials," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    9. Noguchi, H. & Hienuki, S. & Fuse, M., 2020. "Network theory-based accident scenario analysis for hazardous material transport: A case study of liquefied petroleum gas transport in japan," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    10. Iliopoulou, Christina & Kepaptsoglou, Konstantinos & Schinas, Orestis, 2018. "Energy supply security for the Aegean islands: A routing model with risk and environmental considerations," Energy Policy, Elsevier, vol. 113(C), pages 608-620.
    11. Hrayer Aprahamian & Douglas R. Bish & Ebru K. Bish, 2019. "Optimal Risk-Based Group Testing," Management Science, INFORMS, vol. 65(9), pages 4365-4384, September.
    12. Fang, Kan & Ke, Ginger Y. & Verma, Manish, 2017. "A routing and scheduling approach to rail transportation of hazardous materials with demand due dates," European Journal of Operational Research, Elsevier, vol. 261(1), pages 154-168.
    13. Chunlin Xin & Letu Qingge & Jiamin Wang & Binhai Zhu, 2015. "Robust optimization for the hazardous materials transportation network design problem," Journal of Combinatorial Optimization, Springer, vol. 30(2), pages 320-334, August.
    14. Li, Xiangyong & Ding, Yi & Pan, Kai & Jiang, Dapei & Aneja, Y.P., 2020. "Single-path service network design problem with resource constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    15. Bhavsar, Nishit & Verma, Manish, 2022. "A subsidy policy to managing hazmat risk in railroad transportation network," European Journal of Operational Research, Elsevier, vol. 300(2), pages 633-646.
    16. Jiashan Wang & Yingying Kang & Changhyun Kwon & Rajan Batta, 2012. "Dual Toll Pricing for Hazardous Materials Transport with Linear Delay," Networks and Spatial Economics, Springer, vol. 12(1), pages 147-165, March.
    17. Fontaine, Pirmin & Minner, Stefan, 2018. "Benders decomposition for the Hazmat Transport Network Design Problem," European Journal of Operational Research, Elsevier, vol. 267(3), pages 996-1002.
    18. Patrice Marcotte & Anne Mercier & Gilles Savard & Vedat Verter, 2009. "Toll Policies for Mitigating Hazardous Materials Transport Risk," Transportation Science, INFORMS, vol. 43(2), pages 228-243, May.
    19. Bronfman, Andrés & Marianov, Vladimir & Paredes-Belmar, Germán & Lüer-Villagra, Armin, 2015. "The maximin HAZMAT routing problem," European Journal of Operational Research, Elsevier, vol. 241(1), pages 15-27.
    20. Chen, Chongshuang & Dollevoet, Twan & Zhao, Jun, 2018. "One-block train formation in large-scale railway networks: An exact model and a tree-based decomposition algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 1-30.
    21. Yan Sun & Xinya Li & Xia Liang & Cevin Zhang, 2019. "A Bi-Objective Fuzzy Credibilistic Chance-Constrained Programming Approach for the Hazardous Materials Road-Rail Multimodal Routing Problem under Uncertainty and Sustainability," Sustainability, MDPI, vol. 11(9), pages 1-27, May.
    22. Chen, C. & Dollevoet, T.A.B. & Zhao, J., 2017. "One-block train formation in large-scale railway networks: An exact model and a tree-based decomposition algorithm," Econometric Institute Research Papers EI-2017-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    23. Liu Su & Changhyun Kwon, 2020. "Risk-Averse Network Design with Behavioral Conditional Value-at-Risk for Hazardous Materials Transportation," Transportation Science, INFORMS, vol. 54(1), pages 184-203, January.
    24. Szeto, W.Y. & Farahani, R.Z. & Sumalee, Agachai, 2017. "Link-based multi-class hazmat routing-scheduling problem: A multiple demon approach," European Journal of Operational Research, Elsevier, vol. 261(1), pages 337-354.
    25. Rongrong Li & Yee Leung, 2011. "Multi-objective route planning for dangerous goods using compromise programming," Journal of Geographical Systems, Springer, vol. 13(3), pages 249-271, September.

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