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Impacts of Lock Capacity Expansion on Delay Costs for Grain Shipped on the Mississippi River

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  • William W. Wilson
  • Bruce L. Dahl
  • Richard D. Taylor

Abstract

Costs of delays for shipping on the Mississippi River caused by lock congestion are important and adversely impact growth in shipments on that mode. This study analyses the competitive position of grain shipments and quantifies delay costs on the Mississippi River system. A spatial optimisation model of the world grain trade was developed. Results indicate that without expansion in lock capacity, delay costs in 2020 could increase to $1.08 per metric ton. Expansion results in reduced delay costs. Finally, expanding the locks would result in a reallocation of shipments amongst modes, reaches, and ports, notwithstanding minor adjustments in production. © 2011 LSE and the University of Bath

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  • William W. Wilson & Bruce L. Dahl & Richard D. Taylor, 2011. "Impacts of Lock Capacity Expansion on Delay Costs for Grain Shipped on the Mississippi River," Journal of Transport Economics and Policy, University of Bath, vol. 45(1), pages 129-154, January.
    • Handle: RePEc:tpe:jtecpo:v:45:y:2011:i:1:p:129-154
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    Citations

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    Cited by:

    1. Fan, Lei & Wilson, William W. & Dahl, Bruce, 2012. "Congestion, port expansion and spatial competition for US container imports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1121-1136.
    2. Fan, Lei & Wilson, William W. & Dahl, Bruce, 2015. "Risk analysis in port competition for containerized imports," European Journal of Operational Research, Elsevier, vol. 245(3), pages 743-753.
    3. Lijuan Yang & Eldon Y. Li & Yu Zhang, 2020. "Pricing and Subsidy Models for Transshipment Sustainability in the Three Gorges Dam Region of China," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    4. T. Edward Yu & Bijay P. Sharma & Burton C. English, 2019. "Investigating Lock Delay on the Upper Mississippi River: a Spatial Panel Analysis," Networks and Spatial Economics, Springer, vol. 19(1), pages 275-291, March.
    5. Di Zhang & Xinping Yan & Zaili Yang & Jin Wang, 2014. "An accident data–based approach for congestion risk assessment of inland waterways: A Yangtze River case," Journal of Risk and Reliability, , vol. 228(2), pages 176-188, April.
    6. Barkley, Aaron & Mcleod, Kael, 2022. "Congestion and consolidation: An empirical study of a barge shipping merger," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    7. repec:ags:aaea22:335580 is not listed on IDEAS
    8. Ji, Bin & Yuan, Xiaohui & Yuan, Yanbin & Lei, Xiaohui & Fernando, Tyrone & Iu, Herbert H.C., 2019. "Exact and heuristic methods for optimizing lock-quay system in inland waterway," European Journal of Operational Research, Elsevier, vol. 277(2), pages 740-755.
    9. Mahmoudzadeh, Ahmadreza & Khodakarami, Mohammadadel & Ma, Chaolun & Mitchell, Kenneth Ned & Wang, Xiubin Bruce & Zhang, Yunlong, 2021. "Waterway maintenance budget allocation in a multimodal network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).

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