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Optimizing facility use restrictions for the movement of hazardous materials

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  • Dadkar, Yashoda
  • Nozick, Linda
  • Jones, Dean

Abstract

The modeling tools that have been developed over the last 25Â years for the identification of routes for hazmat shipments emphasize the tradeoffs between cost minimization to the shipper/carrier and controlling the "natural" consequences that would stem from an accident. As the terrorist threat has grown, it has become clear that a new perspective, which allows for the representation of the goals and activities of terrorists, must be incorporated into these routing models. Government agencies can determine which specific facilities to restrict for each class of material and for which times of the day and/or week. This paper develops a game-theoretic model of the interactions among government agencies, shippers/carriers and terrorists as a framework for the analysis. It also develops an effective solution procedure for this game. Finally, it illustrates the methodology on a realistic case study.

Suggested Citation

  • Dadkar, Yashoda & Nozick, Linda & Jones, Dean, 2010. "Optimizing facility use restrictions for the movement of hazardous materials," Transportation Research Part B: Methodological, Elsevier, vol. 44(2), pages 267-281, February.
    • Handle: RePEc:eee:transb:v:44:y:2010:i:2:p:267-281
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Reilly, Allison & Nozick, Linda & Xu, Ningxiong & Jones, Dean, 2012. "Game theory-based identification of facility use restrictions for the movement of hazardous materials under terrorist threat," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 115-131.
    3. 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).
    4. Wu, Weitiao & Ma, Jian & Liu, Ronghui & Jin, Wenzhou, 2022. "Multi-class hazmat distribution network design with inventory and superimposed risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    5. Hosseini, S. Davod & Verma, Manish, 2018. "Conditional value-at-risk (CVaR) methodology to optimal train configuration and routing of rail hazmat shipments," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 79-103.
    6. Mahmoudabadi, Abbas & Seyedhosseini, Seyed Mohammad, 2014. "Solving Hazmat Routing Problem in chaotic damage severity network under emergency environment," Transport Policy, Elsevier, vol. 36(C), pages 34-45.
    7. 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.
    8. Rahman, Ashrafur & Fiondella, Lance & Lownes, Nicholas E., 2014. "A Bi-Objective Approach to Evaluate Highway Routing and Regulatory Strategies for Hazardous Materials Transportation," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 53(1).

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