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A multi-industry economic impact perspective on adaptive capacity planning in a freight transportation network

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  • Darayi, Mohamad
  • Barker, Kash
  • Nicholson, Charles D.

Abstract

The multi-modal freight transportation network plays a vital role in maintaining commodity flows across multiple industries and multiple regions. As such, the effects of large-scale disruptive events could result in the closure of key transportation nodes and links, causing disruptions in commodity flows and larger disruptions to industries requiring those commodities for economic productivity. This work integrates a multi-commodity network flow formulation with an economic interdependency model to quantify the multi-industry impacts of a disrupted transportation network to devise contingent rerouting plans to strengthen the network's adaptive capacity. The formulation proposed here is illustrated with a freight transportation planning case study in the state of Oklahoma, considering disruptive scenarios in which a network component is lost and how the proposed approach improves total economic productivity following a disruption.

Suggested Citation

  • Darayi, Mohamad & Barker, Kash & Nicholson, Charles D., 2019. "A multi-industry economic impact perspective on adaptive capacity planning in a freight transportation network," International Journal of Production Economics, Elsevier, vol. 208(C), pages 356-368.
    • Handle: RePEc:eee:proeco:v:208:y:2019:i:c:p:356-368
    DOI: 10.1016/j.ijpe.2018.12.008
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    as
    1. Michael Greenberg & Charles Haas & Anthony Cox & Karen Lowrie & Katherine McComas & Warner North, 2012. "Ten Most Important Accomplishments in Risk Analysis, 1980–2010," Risk Analysis, John Wiley & Sons, vol. 32(5), pages 771-781, May.
    2. Zhang, X. & Miller-Hooks, E. & Denny, K., 2015. "Assessing the role of network topology in transportation network resilience," Journal of Transport Geography, Elsevier, vol. 46(C), pages 35-45.
    3. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
    4. Alan T. Murray & Timothy C. Matisziw & Tony H. Grubesic, 2008. "A Methodological Overview of Network Vulnerability Analysis," Growth and Change, Wiley Blackwell, vol. 39(4), pages 573-592, December.
    5. Kengpol, Athakorn & Meethom, Warapoj & Tuominen, Markku, 2012. "The development of a decision support system in multimodal transportation routing within Greater Mekong sub-region countries," International Journal of Production Economics, Elsevier, vol. 140(2), pages 691-701.
    6. Crainic, Teodor Gabriel & Laporte, Gilbert, 1997. "Planning models for freight transportation," European Journal of Operational Research, Elsevier, vol. 97(3), pages 409-438, March.
    7. Joanna Resurreccion & Joost Santos, 2013. "Uncertainty modeling of hurricane-based disruptions to interdependent economic and infrastructure systems," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(3), pages 1497-1518, December.
    8. Pant, Raghav & Barker, Kash & Grant, F. Hank & Landers, Thomas L., 2011. "Interdependent impacts of inoperability at multi-modal transportation container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 722-737, September.
    9. Joost R. Santos & Yacov Y. Haimes, 2004. "Modeling the Demand Reduction Input‐Output (I‐O) Inoperability Due to Terrorism of Interconnected Infrastructures," Risk Analysis, John Wiley & Sons, vol. 24(6), pages 1437-1451, December.
    10. Baghersad, Milad & Zobel, Christopher W., 2015. "Economic impact of production bottlenecks caused by disasters impacting interdependent industry sectors," International Journal of Production Economics, Elsevier, vol. 168(C), pages 71-80.
    11. Kamalahmadi, Masoud & Parast, Mahour Mellat, 2016. "A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 116-133.
    12. Baroud, Hiba & Barker, Kash & Ramirez-Marquez, Jose E. & Rocco S., Claudio M., 2014. "Importance measures for inland waterway network resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 55-67.
    13. Stéphane Hallegatte, 2014. "Modeling the Role of Inventories and Heterogeneity in the Assessment of the Economic Costs of Natural Disasters," Risk Analysis, John Wiley & Sons, vol. 34(1), pages 152-167, January.
    14. Mohamad Darayi & Kash Barker & Joost R. Santos, 2017. "Component Importance Measures for Multi-Industry Vulnerability of a Freight Transportation Network," Networks and Spatial Economics, Springer, vol. 17(4), pages 1111-1136, December.
    15. Liotta, Giacomo & Stecca, Giuseppe & Kaihara, Toshiya, 2015. "Optimisation of freight flows and sourcing in sustainable production and transportation networks," International Journal of Production Economics, Elsevier, vol. 164(C), pages 351-365.
    16. 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.
    17. Lee, Byung Kwon & Kim, Kap Hwan, 2010. "Optimizing the block size in container yards," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 120-135, January.
    18. Jenelius, Erik & Mattsson, Lars-Göran, 2012. "Road network vulnerability analysis of area-covering disruptions: A grid-based approach with case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 746-760.
    19. Henry, Devanandham & Emmanuel Ramirez-Marquez, Jose, 2012. "Generic metrics and quantitative approaches for system resilience as a function of time," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 114-122.
    20. Pant, Raghav & Barker, Kash & Zobel, Christopher W., 2014. "Static and dynamic metrics of economic resilience for interdependent infrastructure and industry sectors," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 92-102.
    21. Wang, Wen Fei & Yun, Won Young, 2013. "Scheduling for inland container truck and train transportation," International Journal of Production Economics, Elsevier, vol. 143(2), pages 349-356.
    22. Barker, Kash & Ramirez-Marquez, Jose Emmanuel & Rocco, Claudio M., 2013. "Resilience-based network component importance measures," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 89-97.
    23. Park, JiYoung & Cho, JoongKoo & Gordon, Peter & Moore, James E. & Richardson, Harry W. & Yoon, SungSu, 2011. "Adding a freight network to a national interstate input–output model: a TransNIEMO application for California," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1410-1422.
    24. Yusta, Jose M. & Correa, Gabriel J. & Lacal-Arántegui, Roberto, 2011. "Methodologies and applications for critical infrastructure protection: State-of-the-art," Energy Policy, Elsevier, vol. 39(10), pages 6100-6119, October.
    25. Adam Rose & Dan Wei, 2013. "Estimating The Economic Consequences Of A Port Shutdown: The Special Role Of Resilience," Economic Systems Research, Taylor & Francis Journals, vol. 25(2), pages 212-232, June.
    26. Eric D. Vugrin & R. Chris Camphouse, 2011. "Infrastructure resilience assessment through control design," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 7(3), pages 243-260.
    27. Ham, Heejoo & Kim, Tschangho John & Boyce, David, 2005. "Implementation and estimation of a combined model of interregional, multimodal commodity shipments and transportation network flows," Transportation Research Part B: Methodological, Elsevier, vol. 39(1), pages 65-79, January.
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