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Interdependent impacts of inoperability at multi-modal transportation container terminals

Author

Listed:
  • Pant, Raghav
  • Barker, Kash
  • Grant, F. Hank
  • Landers, Thomas L.

Abstract

This work describes the interdependent adverse effects of disruptive events on inter-regional commodity flows resulting from disruptions at an inland port terminal. To do so we integrate the risk-based Multi-Regional Inoperability Input-Output Model, which measures the cascading regional effects of disruptions to interconnected industries, with models, which simulate port operations such as commodity arrival, unloading, sorting, and distributing. Such models capture three disruption scenarios at the port and provide measures of impact to industries that use the inland port terminal facility. A case study highlights the disruptive effects of a closure of the Port of Catoosa in Oklahoma.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transe:v:47:y:2011:i:5:p:722-737
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    Citations

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    Cited by:

    1. Liu, Enze & Barker, Kash & Chen, Hong, 2022. "A multi-modal evacuation-based response strategy for mitigating disruption in an intercity railway system," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    2. 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.
    3. DiPietro, Gwen Shepherd & Scott Matthews, H. & Hendrickson, Chris T., 2014. "Estimating economic and resilience consequences of potential navigation infrastructure failures: A case study of the Monongahela River," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 142-164.
    4. Ali, Yousaf & Bilal, Muhammad & Sabir, Muhammad, 2021. "Impacts of transport strike on Pakistan economy: An inoperability Input-Output model (IIOM) approach," Research in Transportation Economics, Elsevier, vol. 90(C).
    5. Furkan Oztanriseven & Heather Nachtmann, 2020. "Modeling dynamic behavior of navigable inland waterways," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(2), pages 173-195, June.
    6. 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.
    7. Lin Zhang & Jian Lu & Bai-bai Fu & Shu-bin Li, 2018. "A Review and Prospect for the Complexity and Resilience of Urban Public Transit Network Based on Complex Network Theory," Complexity, Hindawi, vol. 2018, pages 1-36, December.
    8. 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.
    9. Reilly, Allison C. & Baroud, Hiba & Flage, Roger & Gerst, Michael D., 2021. "Sources of uncertainty in interdependent infrastructure and their implications," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    10. Hiba Baroud & Jose E. Ramirez‐Marquez & Kash Barker & Claudio M. Rocco, 2014. "Stochastic Measures of Network Resilience: Applications to Waterway Commodity Flows," Risk Analysis, John Wiley & Sons, vol. 34(7), pages 1317-1335, July.
    11. Zachary Walchuk & Kash Barker, 2013. "Analyzing interdependent impacts of resource sustainability," Environment Systems and Decisions, Springer, vol. 33(3), pages 391-403, September.
    12. Feiyi Luo & Zhengfeng Huang & Pengjun Zheng, 2022. "A Study on the Decay Model of Multi-Block Taxi Travel Demand under the Influence of Major Urban Public Health Events," IJERPH, MDPI, vol. 19(6), pages 1-19, March.
    13. 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.
    14. Goldbeck, Nils & Angeloudis, Panagiotis & Ochieng, Washington, 2020. "Optimal supply chain resilience with consideration of failure propagation and repair logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    15. Fang, Yi-Ping & Zio, Enrico, 2019. "An adaptive robust framework for the optimization of the resilience of interdependent infrastructures under natural hazards," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1119-1136.
    16. 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.
    17. Fan Bu & Heather Nachtmann, 2023. "Literature review and comparative analysis of inland waterways transport: “Container on Barge”," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(1), pages 140-173, March.

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