IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v58y2024i2d10.1007_s11135-023-01727-3.html
   My bibliography  Save this article

Quantifying freight flow disruption risks from railroad accidents

Author

Listed:
  • Raj Bridgelall

    (North Dakota State University)

  • Denver D. Tolliver

    (North Dakota State University)

Abstract

Workforce shortages during the COVID-19 pandemic and the recent threat of railroad strike in the United States have generated greater public awareness of how freight flow disruptions can harm society. Unlike highways, trains often do not have the ability to take alternative routes that directly connect major metropolitan areas; hence railroad networks are vulnerable to disruptions like accidents. This study developed a data mining workflow to rank commodity movements that are at the highest risk of disruption from railroad accidents and other types of regional disasters that can affect railroad operations. A key finding is that five U.S. metropolitan areas are at least five times more likely than others to experience a railroad accident. Those five areas account for more than 40% of the monetary value in alcoholic beverages, raw meats, gasoline, plastic-based products, and rubber-based products moved by rail. Hence, any disruption in those five areas can lead to widespread shortages of those commodities. The implication is that decision makers should focus risk mitigation and resiliency strategies in those five metropolitan areas and on the top commodity categories at risk.

Suggested Citation

  • Raj Bridgelall & Denver D. Tolliver, 2024. "Quantifying freight flow disruption risks from railroad accidents," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(2), pages 1993-2007, April.
    • Handle: RePEc:spr:qualqt:v:58:y:2024:i:2:d:10.1007_s11135-023-01727-3
    DOI: 10.1007/s11135-023-01727-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-023-01727-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-023-01727-3?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. 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).
    2. Huang, Ping & Wen, Chao & Fu, Liping & Lessan, Javad & Jiang, Chaozhe & Peng, Qiyuan & Xu, Xinyue, 2020. "Modeling train operation as sequences: A study of delay prediction with operation and weather data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    3. Zhang, Zhipeng & Liu, Xiang & Holt, Keith, 2018. "Positive Train Control (PTC) for railway safety in the United States: Policy developments and critical issues," Utilities Policy, Elsevier, vol. 51(C), pages 33-40.
    4. Woodburn, Allan, 2019. "Rail network resilience and operational responsiveness during unplanned disruption: A rail freight case study," Journal of Transport Geography, Elsevier, vol. 77(C), pages 59-69.
    5. Adithya Thaduri & Mustafa Aljumaili & Ravdeep Kour & Ramin Karim, 2019. "Cybersecurity for eMaintenance in railway infrastructure: risks and consequences," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(2), pages 149-159, April.
    6. Kevin P. Scheibe & Jennifer Blackhurst, 2018. "Supply chain disruption propagation: a systemic risk and normal accident theory perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 43-59, January.
    7. 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).
    8. Ray Y. Zhong & Xun Xu & Olga Battaïa, 2020. "Special issue on sustainability with innovation for manufacturing and supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 58(24), pages 7311-7313, December.
    9. 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.
    10. Kelle, Peter & Song, Jinglu & Jin, Mingzhou & Schneider, Helmut & Claypool, Christopher, 2019. "Evaluation of operational and environmental sustainability tradeoffs in multimodal freight transportation planning," International Journal of Production Economics, Elsevier, vol. 209(C), pages 411-420.
    Full references (including those not matched with items on IDEAS)

    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. Hasani Goodarzi, Asefeh & Jabbarzadeh, Armin & Fahimnia, Behnam & Paquet, Marc, 2024. "Evaluating the sustainability and resilience of an intermodal transport network leveraging consolidation strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    2. Emilia Vann Yaroson & Soumyadeb Chowdhury & Sachin Kumar Mangla & Prasanta Kumar Dey, 2024. "Unearthing the interplay between organisational resources, knowledge and industry 4.0 analytical decision support tools to achieve sustainability and supply chain wellbeing," Annals of Operations Research, Springer, vol. 342(2), pages 1321-1368, November.
    3. Schmidt, Christoph G. & Wuttke, David A. & Heese, H. Sebastian & Wagner, Stephan M., 2023. "Antecedents of public reactions to supply chain glitches," International Journal of Production Economics, Elsevier, vol. 259(C).
    4. Giulio Marcucci & Filippo Emanuele Ciarapica & Giovanni Mazzuto & Maurizio Bevilacqua, 2024. "Analysis of ripple effect and its impact on supply chain resilience: a general framework and a case study on agri-food supply chain during the COVID-19 pandemic," Operations Management Research, Springer, vol. 17(1), pages 175-200, March.
    5. Babagolzadeh, Mahla & Zhang, Yahua & Abbasi, Babak & Shrestha, Anup & Zhang, Anming, 2022. "Promoting Australian regional airports with subsidy schemes: Optimised downstream logistics using vehicle routing problem," Transport Policy, Elsevier, vol. 128(C), pages 38-51.
    6. Laura M. Canevari‐Luzardo & Frans Berkhout & Mark Pelling, 2020. "A relational view of climate adaptation in the private sector: How do value chain interactions shape business perceptions of climate risk and adaptive behaviours?," Business Strategy and the Environment, Wiley Blackwell, vol. 29(2), pages 432-444, February.
    7. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    8. 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.
    9. Nadia Zahoor & Jie Wu & Huda Khan & Zaheer Khan, 2023. "De-globalization, International Trade Protectionism, and the Reconfigurations of Global Value Chains," Management International Review, Springer, vol. 63(5), pages 823-859, October.
    10. Peter DŽUPKA & Marek HORVATH, 2021. "Urban Smart-Mobility Projects Evaluation: A Literature Review," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 16(4), pages 55-76, November.
    11. Maureen S. Golan & Laura H. Jernegan & Igor Linkov, 2020. "Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic," Environment Systems and Decisions, Springer, vol. 40(2), pages 222-243, June.
    12. Jamal El Baz & Anass Cherrafi & Abla Chaouni Benabdellah & Kamar Zekhnini & Jean Noel Beka Be Nguema & Ridha Derrouiche, 2023. "Environmental Supply Chain Risk Management for Industry 4.0: A Data Mining Framework and Research Agenda," Post-Print hal-04335003, HAL.
    13. Dariusz Milewski, 2020. "Total Costs of Centralized and Decentralized Inventory Strategies—Including External Costs," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    14. Baogui Xin & Yue Liu & Lei Xie, 2023. "Strategic data capital investment in a supply chain," Operations Management Research, Springer, vol. 16(4), pages 1925-1948, December.
    15. Dheeraj Sharma & Amol Singh & Ashwani Kumar & Venkatesh Mani & V. G. Venkatesh, 2024. "Reconfiguration of food grain supply network amidst COVID-19 outbreak: an emerging economy perspective," Annals of Operations Research, Springer, vol. 335(3), pages 1177-1207, April.
    16. Tanksale, Ajinkya N. & Das, Debabrata & Verma, Priyanka & Tiwari, Manoj Kumar, 2021. "Unpacking the role of primary packaging material in designing green supply chains: An integrated approach," International Journal of Production Economics, Elsevier, vol. 236(C).
    17. Rui Ren & Wanjie Hu & Jianjun Dong & Bo Sun & Yicun Chen & Zhilong Chen, 2019. "A Systematic Literature Review of Green and Sustainable Logistics: Bibliometric Analysis, Research Trend and Knowledge Taxonomy," IJERPH, MDPI, vol. 17(1), pages 1-25, December.
    18. Joyce Mariella Medeiros Cavalcanti & Ewerton Alex Avelar & Fernando Roberto Cavalcante Bandeira do Amaral & Kenyth Alves de Freitas, 2021. "The Sea is Getting Rough: Analysis of Incremental Costs during the Pandemic," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 25(Spe), pages 200227-2002.
    19. Zhang, Hui & Xu, Min & Ouyang, Min, 2024. "A multi-perspective functionality loss assessment of coupled railway and airline systems under extreme events," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    20. Potter, Andrew & Soroka, Anthony & Naim, Mohamed, 2022. "Regional resilience for rail freight transport," Journal of Transport Geography, Elsevier, vol. 104(C).

    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:spr:qualqt:v:58:y:2024:i:2:d:10.1007_s11135-023-01727-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.