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Managing ship lock congestion in an inland waterway: A bottleneck model with a service time window

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  • Deng, Yao
  • Sheng, Dian
  • Liu, Baoli
Abstract
This paper proposes a bottleneck model for managing the ship lock congestion in an inland waterway caused by the uneven temporal distribution of ship traffic demand. Due to safety checks and regular maintenance, the lock only works within a specified time window during a day. A bottleneck model with a service time window is presented to describe the dynamic scheduling process of the ships passing through the lock. The properties of the proposed model are investigated. To alleviate ships' delays at the lock area, two congestion tolling schemes (i.e., first-best and second-best) and a novel administrative scheme of moving the service time window (MST) are explored together with a combined scheme of tolling and MST. The results show that the ship's preferred departure time and the value of time for schedule delay matter in the choice of the counter-measures against ship traffic congestion. MST alone can be an effective substitute for the tolling schemes in most cases and it even outperforms the first-best tolling under certain conditions. This finding is appealing given the academic debate and public controversy raised by congestion tolling. Besides, combining MST with either tolling scheme can always yield higher efficiency. However, the benefits of MST can be marginal or even zero when the difference between the ship's preferred departure time and lock's initial service start time is around a certain value. In such cases, the authority should be cautious about combining any tolling scheme with MST since the implementation costs might outweigh the additional benefits brought by MST.

Suggested Citation

  • Deng, Yao & Sheng, Dian & Liu, Baoli, 2021. "Managing ship lock congestion in an inland waterway: A bottleneck model with a service time window," Transport Policy, Elsevier, vol. 112(C), pages 142-161.
    • Handle: RePEc:eee:trapol:v:112:y:2021:i:c:p:142-161
    DOI: 10.1016/j.tranpol.2021.08.017
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    References listed on IDEAS

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    1. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    2. Robin Lindsey, C. & van den Berg, Vincent A.C. & Verhoef, Erik T., 2012. "Step tolling with bottleneck queuing congestion," Journal of Urban Economics, Elsevier, vol. 72(1), pages 46-59.
    3. L D Smith & D C Sweeney & J F Campbell, 2009. "Simulation of alternative approaches to relieving congestion at locks in a river transportion system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(4), pages 519-533, April.
    4. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1993. "A Structural Model of Peak-Period Congestion: A Traffic Bottleneck with Elastic Demand," American Economic Review, American Economic Association, vol. 83(1), pages 161-179, March.
    5. Tan, Zhijia & Li, Wan & Zhang, Xiaoning & Yang, Hai, 2015. "Service charge and capacity selection of an inland river port with location-dependent shipping cost and service congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 13-33.
    6. Small, Kenneth A., 2015. "The bottleneck model: An assessment and interpretation," Economics of Transportation, Elsevier, vol. 4(1), pages 110-117.
    7. Kenneth Button & Erik Verhoef (ed.), 1998. "Road Pricing, Traffic Congestion and the Environment," Books, Edward Elgar Publishing, number 940.
    8. Douglas Smith, L. & Nauss, Robert M. & Mattfeld, Dirk Christian & Li, Jian & Ehmke, Jan F. & Reindl, M., 2011. "Scheduling operations at system choke points with sequence-dependent delays and processing times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 669-680, September.
    9. de Palma, André & Lindsey, Robin, 2006. "Modelling and evaluation of road pricing in Paris," Transport Policy, Elsevier, vol. 13(2), pages 115-126, March.
    10. Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2014. "Bottleneck model revisited: An activity-based perspective," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 262-287.
    11. Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-260, May.
    12. van den Berg, Vincent A.C., 2012. "Step-tolling with price-sensitive demand: Why more steps in the toll make the consumer better off," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1608-1622.
    13. Sheng, Dian & Li, Zhi-Chun & Fu, Xiaowen & Gillen, David, 2017. "Modeling the effects of unilateral and uniform emission regulations under shipping company and port competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 99-114.
    14. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1990. "Economics of a bottleneck," Journal of Urban Economics, Elsevier, vol. 27(1), pages 111-130, January.
    15. Wang, Jing-Peng & Ban, Xuegang (Jeff) & Huang, Hai-Jun, 2019. "Dynamic ridesharing with variable-ratio charging-compensation scheme for morning commute," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 390-415.
    16. Laih, Chen-Hsiu, 1994. "Queueing at a bottleneck with single- and multi-step tolls," Transportation Research Part A: Policy and Practice, Elsevier, vol. 28(3), pages 197-208, May.
    17. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.
    18. Dai, Melody D. M. & Schonfeld, Paul, 1998. "Metamodels for estimating waterway delays through series of queues," Transportation Research Part B: Methodological, Elsevier, vol. 32(1), pages 1-19, January.
    19. Laih, Chen-Hsiu & Sun, Pey-Yuan, 2013. "Effects of the optimal n-step toll scheme on bulk carriers queuing for multiple berths at a busy port," Transport Policy, Elsevier, vol. 28(C), pages 42-50.
    20. Chen-Hsiu Laih & Pey-Yuan Sun, 2014. "The optimal toll scheme for ships queuing at the entrance of Panama Canal," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(1), pages 20-32, March.
    21. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-479, June.
    22. Li, Zhi-Chun & Lam, William H.K. & Wong, S.C., 2017. "Step tolling in an activity-based bottleneck model," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 306-334.
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