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Designing a hazardous materials transportation network by a bi-level programming based on toll policies

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  • Zhang, Lukai
  • Feng, Xuesong
  • Chen, Dalin
  • Zhu, Nan
  • Liu, Yi

Abstract

Hazardous materials (HAZMAT) are common in industry and agriculture, playing important roles in the development of society and economy. Meanwhile, in actual operation processes, because of the long distances between the producers and supply regions of HAZMAT, a mass of HAZMAT are always being transported, which bring risk within the corresponding areas. This study aims to design a feasible and practical HAZMAT transportation network, where the risk leading to incidents is mitigated. Adopting the congestion pricing principles for reference, link tolls are taken as the decision variables, and a bi-level programming optimization model with a variation inequality is established to interpret the problem. Moreover, a double-temperature simulated annealing algorithm inserted with a diagonalization algorithm is proposed to solve the model, and necessary computational experiments are executed. The calculated results and sensitivity analyses show that the newly proposed method is effective, which is able to be rational decision reference for relevant departments.

Suggested Citation

  • Zhang, Lukai & Feng, Xuesong & Chen, Dalin & Zhu, Nan & Liu, Yi, 2019. "Designing a hazardous materials transportation network by a bi-level programming based on toll policies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
  • Handle: RePEc:eee:phsmap:v:534:y:2019:i:c:s0378437119313342
    DOI: 10.1016/j.physa.2019.122324
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    References listed on IDEAS

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    1. Zografos, Konstantinos G. & Androutsopoulos, Konstantinos N., 2004. "A heuristic algorithm for solving hazardous materials distribution problems," European Journal of Operational Research, Elsevier, vol. 152(2), pages 507-519, January.
    2. 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.
    3. Erhan Erkut & Vedat Verter, 1995. "A Framework for Hazardous Materials Transport Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 15(5), pages 589-601, October.
    4. 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.
    5. Charles ReVelle & Jared Cohon & Donald Shobrys, 1991. "Simultaneous Siting and Routing in the Disposal of Hazardous Wastes," Transportation Science, INFORMS, vol. 25(2), pages 138-145, May.
    6. Tsung-Sheng Chang & Linda K. Nozick & Mark A. Turnquist, 2005. "Multiobjective Path Finding in Stochastic Dynamic Networks, with Application to Routing Hazardous Materials Shipments," Transportation Science, INFORMS, vol. 39(3), pages 383-399, August.
    7. Luce Brotcorne & Martine Labbé & Patrice Marcotte & Gilles Savard, 2008. "Joint Design and Pricing on a Network," Operations Research, INFORMS, vol. 56(5), pages 1104-1115, October.
    8. Li, Tongfei & Sun, Huijun & Wu, Jianjun & Ge, Ying-en, 2017. "Optimal toll of new highway in the equilibrium framework of heterogeneous households' residential location choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 123-137.
    9. Erhan Erkut & Armann Ingolfsson, 2000. "Catastrophe Avoidance Models for Hazardous Materials Route Planning," Transportation Science, INFORMS, vol. 34(2), pages 165-179, May.
    10. Rajan Batta & Samuel S. Chiu, 1988. "Optimal Obnoxious Paths on a Network: Transportation of Hazardous Materials," Operations Research, INFORMS, vol. 36(1), pages 84-92, February.
    11. Bahar Y. Kara & Vedat Verter, 2004. "Designing a Road Network for Hazardous Materials Transportation," Transportation Science, INFORMS, vol. 38(2), pages 188-196, May.
    12. Mohammadi, Mehrdad & Jula, Payman & Tavakkoli-Moghaddam, Reza, 2017. "Design of a reliable multi-modal multi-commodity model for hazardous materials transportation under uncertainty," European Journal of Operational Research, Elsevier, vol. 257(3), pages 792-809.
    13. Ghaderi, Abdolsalam & Burdett, Robert L., 2019. "An integrated location and routing approach for transporting hazardous materials in a bi-modal transportation network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 49-65.
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