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A Framework for Modeling Rail Transport Vulnerability

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  • STEVEN K. PETERSON
  • RICHARD L. CHURCH

Abstract

Railroads represent one of the most efficient methods of long‐haul transport for bulk commodities, from coal to agricultural products. Over the past 50 years, the rail network has contracted while tonnage has increased. Service, geographically, has been abandoned along short‐haul routes and increased along major long‐haul routes, resulting in a network that is more streamlined. The current rail network may be very vulnerable to disruptions, like the failure of a trestle. This paper proposes a framework to model rail network vulnerability and gives an application of this modeling framework in analyzing rail network vulnerability for the State of Washington. It concludes with a number of policy‐related issues that need to be addressed in order to identify, plan, and mitigate the risks associated with the sudden loss of a bridge or trestle.

Suggested Citation

  • Steven K. Peterson & Richard L. Church, 2008. "A Framework for Modeling Rail Transport Vulnerability," Growth and Change, Wiley Blackwell, vol. 39(4), pages 617-641, December.
    • Handle: RePEc:bla:growch:v:39:y:2008:i:4:p:617-641
    DOI: 10.1111/j.1468-2257.2008.00449.x
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    References listed on IDEAS

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    1. Fialkoff, Marc R. & Hancock, Kathleen L. & Peterson, Steven K., 2018. "A method for processing the Confidential Carload Waybill Sample for railroad freight analysis," Research in Transportation Economics, Elsevier, vol. 71(C), pages 34-43.
    2. 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).
    3. Starita, Stefano & Scaparra, Maria Paola, 2016. "Optimizing dynamic investment decisions for railway systems protection," European Journal of Operational Research, Elsevier, vol. 248(2), pages 543-557.
    4. Khademi, Navid & Babaei, Mohsen & Schmöcker, Jan-Dirk & Fani, Amirhossein, 2018. "Analysis of incident costs in a vulnerable sparse rail network – Description and Iran case study," Research in Transportation Economics, Elsevier, vol. 70(C), pages 9-27.
    5. Szymula, Christopher & Bešinović, Nikola, 2020. "Passenger-centered vulnerability assessment of railway networks," Transportation Research Part B: Methodological, Elsevier, vol. 136(C), pages 30-61.
    6. Mostafa Bababeik & Mohammad Mahdi Nasiri & Navid Khademi & Anthony Chen, 2019. "Vulnerability evaluation of freight railway networks using a heuristic routing and scheduling optimization model," Transportation, Springer, vol. 46(4), pages 1143-1170, August.
    7. Hong, Wei-Ting & Clifton, Geoffrey & Nelson, John D., 2022. "Rail transport system vulnerability analysis and policy implementation: Past progress and future directions," Transport Policy, Elsevier, vol. 128(C), pages 299-308.
    8. Ke, Ginger Y. & Verma, Manish, 2021. "A framework to managing disruption risk in rail-truck intermodal transportation networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    9. Hong, Liu & Ye, Bowen & Yan, Han & Zhang, Hui & Ouyang, Min & (Sean) He, Xiaozheng, 2019. "Spatiotemporal vulnerability analysis of railway systems with heterogeneous train flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 725-744.
    10. Majbah Uddin & Nathan Huynh, 2019. "Reliable Routing of Road-Rail Intermodal Freight under Uncertainty," Networks and Spatial Economics, Springer, vol. 19(3), pages 929-952, September.
    11. Gedik, Ridvan & Medal, Hugh & Rainwater, Chase & Pohl, Ed A. & Mason, Scott J., 2014. "Vulnerability assessment and re-routing of freight trains under disruptions: A coal supply chain network application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 45-57.
    12. Fikar, Christian & Hirsch, Patrick & Posset, Martin & Gronalt, Manfred, 2016. "Impact of transalpine rail network disruptions: A study of the Brenner Pass," Journal of Transport Geography, Elsevier, vol. 54(C), pages 122-131.
    13. Caterina Malandri & Luca Mantecchini & Filippo Paganelli & Maria Nadia Postorino, 2021. "Public Transport Network Vulnerability and Delay Distribution among Travelers," Sustainability, MDPI, vol. 13(16), pages 1-14, August.

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