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Economic impact analysis of inland waterway disruption response

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  • Furkan Oztanriseven
  • Heather Nachtmann

Abstract

Navigable inland waterways connect inland ports with the global supply chain by providing a low-cost, reliable, and environmentally friendly freight transportation mode. In this article, we present the results from a simulation-based approach that estimates the potential economic impacts of inland waterway disruption response. Predicting economic impacts of inland waterway disruption response enables system stakeholders to increase their preparedness and potentially reduce economic losses. Our approach is implemented on an illustrative case study of the McClellan–Kerr Arkansas River Navigation System. The approach is generalizable to navigable inland waterways throughout the United States to support economic resilience of these systems.

Suggested Citation

  • Furkan Oztanriseven & Heather Nachtmann, 2017. "Economic impact analysis of inland waterway disruption response," The Engineering Economist, Taylor & Francis Journals, vol. 62(1), pages 73-89, January.
    • Handle: RePEc:taf:uteexx:v:62:y:2017:i:1:p:73-89
    DOI: 10.1080/0013791X.2016.1163627
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    Cited by:

    1. Lazard, Patrice M. & Kennedy, P. Lynn, 2020. "Trouble at Old River: The Impact of a Mississippi River Avulsion on U.S. Soybean Exports," Journal of Food Distribution Research, Food Distribution Research Society, vol. 51(3), November.
    2. Eko Hariyadi Budiyanto & Raja Oloan Saut Gurning & Trika Pitana, 2021. "The Application of Business Impact Analysis Due to Electricity Disruption in a Container Terminal," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    3. Aghalari, Amin & Nur, Farjana & Marufuzzaman, Mohammad, 2021. "Solving a stochastic inland waterway port management problem using a parallelized hybrid decomposition algorithm," Omega, Elsevier, vol. 102(C).
    4. HOSSAIN, Niamat Ullah Ibne & Amrani, Safae El & Jaradat, Raed & Marufuzzaman, Mohammad & Buchanan, Randy & Rinaudo, Christina & Hamilton, Michael, 2020. "Modeling and assessing interdependencies between critical infrastructures using Bayesian network: A case study of inland waterway port and surrounding supply chain network," Reliability Engineering and System Safety, Elsevier, vol. 198(C).

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