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Using geographic information science to evaluate legal restrictions on freight transportation routing in disruptive scenarios

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  • Fialkoff, Marc R.
  • Omitaomu, Olufemi A.
  • Peterson, Steven K.
  • Tuttle, Mark A.

Abstract

Disasters have consequences and freight transportation is not immune to these consequences. In the aftermath of disasters, planners and policymakers have to utilize scarce resources and work within legal frameworks to ensure that inoperable infrastructure assets return to normal operations. In the case of freight transportation, the challenges associated with freight rerouting due to inoperable infrastructure assets are beyond the physical dimension—the challenges include overcoming some legal barriers involved with intermodal freight transportation. This paper presents an application of transportation routing analysis to evaluate routing options for freight transportation during disasters. The paper also evaluates the legal implications of the Merchant Marine Act of 1920 (also known as the Jones Act) on short sea shipping between coastal points in U.S. territorial waters. Using the closure of the Port of New York and New Jersey during Hurricane Sandy as a case study, various modal studies are performed that highlight the different routes and provide insights into the challenges of the modal restrictions imposed by the Jones Act.

Suggested Citation

  • Fialkoff, Marc R. & Omitaomu, Olufemi A. & Peterson, Steven K. & Tuttle, Mark A., 2017. "Using geographic information science to evaluate legal restrictions on freight transportation routing in disruptive scenarios," International Journal of Critical Infrastructure Protection, Elsevier, vol. 17(C), pages 60-74.
    • Handle: RePEc:eee:ijocip:v:17:y:2017:i:c:p:60-74
    DOI: 10.1016/j.ijcip.2016.12.001
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    Cited by:

    1. Cui, Zhiwei & Fu, Xin & Wang, Jianwei & Qiang, Yongjie & Jiang, Ying & Long, Zhiyou, 2022. "How does COVID-19 pandemic impact cities' logistics performance? An evidence from China's highway freight transport," Transport Policy, Elsevier, vol. 120(C), pages 11-22.
    2. 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.

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