IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v300y2022i2p633-646.html
   My bibliography  Save this article

A subsidy policy to managing hazmat risk in railroad transportation network

Author

Listed:
  • Bhavsar, Nishit
  • Verma, Manish

Abstract

Hazardous materials (hazmat) shipments are integral to any modern society, and railroad is the primary transportation mode in North America. Given the catastrophic nature of rail hazmat incidents, every effort should be made to mitigate risk. This study investigates a novel risk mitigation tool, i.e., subsidy, to induce railroad operators to take alternate routes that are away from high-risk portions of the network such as population centers. To this end, a bi-level optimization program is developed that captures both the risk perspective of the leader (i.e., government) and the cost concerns of the follower (i.e., railroad operator). Model complexity necessitated the development of a customized solution technique, and the resulting methodology was used to study problem instances generated on the realistic infrastructure of a railroad operator in Midwest United States. Analyses underscore the significance of using subsidy as a risk mitigation tool and in ensuring a fairer distribution of risk, in demonstrating how significant improvement in risk can be achieved by offering modest subsidy, and in defining the threshold level of the subsidy budget beyond which no improvement should be expected.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ejores:v:300:y:2022:i:2:p:633-646
    DOI: 10.1016/j.ejor.2021.08.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221721006767
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2021.08.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Manish Verma & Vedat Verter, 2013. "Railroad Transportation of Hazardous Materials: Models for Risk Assessment and Management," International Series in Operations Research & Management Science, in: Rajan Batta & Changhyun Kwon (ed.), Handbook of OR/MS Models in Hazardous Materials Transportation, edition 127, pages 9-47, Springer.
    3. Bahar Y. Kara & Vedat Verter, 2004. "Designing a Road Network for Hazardous Materials Transportation," Transportation Science, INFORMS, vol. 38(2), pages 188-196, May.
    4. Vaezi, Ali & Verma, Manish, 2018. "Railroad transportation of crude oil in Canada: Developing long-term forecasts, and evaluating the impact of proposed pipeline projects," Journal of Transport Geography, Elsevier, vol. 69(C), pages 98-111.
    5. 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.
    6. Jabbarzadeh, Armin & Azad, Nader & Verma, Manish, 2020. "An optimization approach to planning rail hazmat shipments in the presence of random disruptions," Omega, Elsevier, vol. 96(C).
    7. Verma, Manish & Verter, Vedat & Zufferey, Nicolas, 2012. "A bi-objective model for planning and managing rail-truck intermodal transportation of hazardous materials," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 132-149.
    8. Iakovos Toumazis & Changhyun Kwon & Rajan Batta, 2013. "Value-at-Risk and Conditional Value-at-Risk Minimization for Hazardous Materials Routing," International Series in Operations Research & Management Science, in: Rajan Batta & Changhyun Kwon (ed.), Handbook of OR/MS Models in Hazardous Materials Transportation, edition 127, pages 127-154, Springer.
    9. 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.
    10. Bagheri, Morteza & Saccomanno, Frank & Fu, Liping, 2012. "Modeling hazardous materials risks for different train make-up plans," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 907-918.
    11. Manish Verma & Vedat Verter & Michel Gendreau, 2011. "A Tactical Planning Model for Railroad Transportation of Dangerous Goods," Transportation Science, INFORMS, vol. 45(2), pages 163-174, May.
    12. 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.
    13. Esfandeh, Tolou & Kwon, Changhyun & Batta, Rajan, 2016. "Regulating hazardous materials transportation by dual toll pricing," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 20-35.
    14. 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.
    15. Morteza Bagheri & Manish Verma & Vedat Verter, 2014. "Transport Mode Selection for Toxic Gases: Rail or Road?," Risk Analysis, John Wiley & Sons, vol. 34(1), pages 168-186, January.
    16. 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.
    17. 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.
    18. Akgun, Vedat & Erkut, Erhan & Batta, Rajan, 2000. "On finding dissimilar paths," European Journal of Operational Research, Elsevier, vol. 121(2), pages 232-246, March.
    19. Lucio Bianco & Massimiliano Caramia & Stefano Giordani & Veronica Piccialli, 2016. "A Game-Theoretic Approach for Regulating Hazmat Transportation," Transportation Science, INFORMS, vol. 50(2), pages 424-438, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Zhenjie & Zhang, Dezhi & Tavasszy, Lóránt & Fazi, Stefano, 2023. "Integrated multimodal freight service network design and pricing with a competing service integrator and heterogeneous shipper classes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. 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.
    3. 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.
    4. 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).
    5. Vaezi Ali & Verma Manish, 2021. "Exploring an Infrastructure Investment Methodology to Risk Mitigation from Rail Hazardous Materials Shipments," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 12(1), pages 1-16, December.
    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. 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.
    8. Jabbarzadeh, Armin & Azad, Nader & Verma, Manish, 2020. "An optimization approach to planning rail hazmat shipments in the presence of random disruptions," Omega, Elsevier, vol. 96(C).
    9. 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.
    10. Ke, Ginger Y. & Zhang, Huiwen & Bookbinder, James H., 2020. "A dual toll policy for maintaining risk equity in hazardous materials transportation with fuzzy incident rate," International Journal of Production Economics, Elsevier, vol. 227(C).
    11. 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).
    12. 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).
    13. 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.
    14. 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.
    15. Tolou Esfandeh & Rajan Batta & Changhyun Kwon, 2018. "Time-Dependent Hazardous-Materials Network Design Problem," Transportation Science, INFORMS, vol. 52(2), pages 454-473, March.
    16. 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).
    17. Zahiri, Behzad & Suresh, Nallan C., 2021. "Hub network design for hazardous-materials transportation under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    18. Vaezi, Ali & Verma, Manish, 2018. "Railroad transportation of crude oil in Canada: Developing long-term forecasts, and evaluating the impact of proposed pipeline projects," Journal of Transport Geography, Elsevier, vol. 69(C), pages 98-111.
    19. Bogyrbayeva, Aigerim & Kwon, Changhyun, 2021. "Pessimistic evasive flow capturing problems," European Journal of Operational Research, Elsevier, vol. 293(1), pages 133-148.
    20. Esfandeh, Tolou & Kwon, Changhyun & Batta, Rajan, 2016. "Regulating hazardous materials transportation by dual toll pricing," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 20-35.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:300:y:2022:i:2:p:633-646. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.