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Game theory-based identification of facility use restrictions for the movement of hazardous materials under terrorist threat

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  • Reilly, Allison
  • Nozick, Linda
  • Xu, Ningxiong
  • Jones, Dean

Abstract

Government agencies can determine which specific facilities in a transportation network to restrict for each class of material and for which times of the day and/or week to stem the consequences of a terrorist event. To guide in making these determinations, this paper develops a three-player game of the interactions among a government agency, a carrier, and a terrorist. It also develops an effective solution procedure for this game and illustrates the use of that procedure on a realistic case study based on the freight rail network in the continental United States.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transe:v:48:y:2012:i:1:p:115-131
    DOI: 10.1016/j.tre.2011.06.002
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    References listed on IDEAS

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    3. 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.
    4. Elifcan Göçmen & Rızvan Erol, 2018. "The Problem of Sustainable Intermodal Transportation: A Case Study of an International Logistics Company, Turkey," Sustainability, MDPI, vol. 10(11), pages 1-16, November.
    5. Yaghlane, Asma Ben & Azaiez, M. Naceur & Mrad, Mehdi, 2019. "System survivability in the context of interdiction networks," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 362-371.
    6. 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).
    7. 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).
    8. 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.
    9. 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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