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Port competition modeling including maritime, port, and hinterland characteristics

Author

Listed:
  • Barry Zondag
  • Pietro Bucci
  • Padideh Gützkow
  • Gerard de Jong

Abstract

Container transport has grown very rapidly worldwide and in the coming decades also a substantial, above average, growth is foreseen in this type of freight transport. Container transport is also one of the least captive cargo types, and ports and governments are responding to this with large investments to improve the market share of their port in this competitive market. The purpose of this paper is to present a new port forecasting approach that models port competition explicitly. The model follows a logistic chain approach and is designed to calculate the impacts of a wide range of policy measures (e.g. infrastructure, pricing) in the port itself, its maritime access and its hinterland connections. The functioning of the model is demonstrated for the ports of Antwerp, Rotterdam, Bremen and Hamburg.

Suggested Citation

  • Barry Zondag & Pietro Bucci & Padideh Gützkow & Gerard de Jong, 2010. "Port competition modeling including maritime, port, and hinterland characteristics," Maritime Policy & Management, Taylor & Francis Journals, vol. 37(3), pages 179-194, May.
    • Handle: RePEc:taf:marpmg:v:37:y:2010:i:3:p:179-194
    DOI: 10.1080/03088831003700579
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    Citations

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    Cited by:

    1. Santos, Tiago A. & Guedes Soares, C., 2019. "Container terminal potential hinterland delimitation in a multi-port system subject to a regionalization process," Journal of Transport Geography, Elsevier, vol. 75(C), pages 132-146.
    2. Michael Gleser & Ralf Elbert & Hongjun Wu, 2023. "Port Competition through Hinterland Connectivity—A Case Study for Potential Hinterland Scope in North Rhine-Westphalia (NRW) Regarding an Environmental Policy Measure," Sustainability, MDPI, vol. 15(3), pages 1-20, January.
    3. Brinker, Janosch & Haasis, Hans-Dietrich, 2020. "The impact of an asymmetric allocation of power on the digitalization strategy of port logistics," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 457-484, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    4. Marasco, Addolorata & Romano, Alessandro, 2018. "Inter-port interactions in the Le Havre-Hamburg range: A scenario analysis using a nonautonomous Lotka Volterra model," Journal of Transport Geography, Elsevier, vol. 69(C), pages 207-220.
    5. César Ducruet & Hidekazu Itoh, 2022. "Spatial network analysis of container port operations: the case of ship turnaround times," EconomiX Working Papers 2022-15, University of Paris Nanterre, EconomiX.
    6. Rashed, Yasmine & Meersman, Hilde & Sys, Christa & Van de Voorde, Eddy & Vanelslander, Thierry, 2018. "A combined approach to forecast container throughput demand: Scenarios for the Hamburg-Le Havre range of ports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 127-141.
    7. Zheng, Shiyuan & Luo, Meifeng, 2021. "Competition or cooperation? Ports’ strategies and welfare analysis facing shipping alliances," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    8. Kawasaki, Tomoya & Loh, Zhan Teng & Hanaoka, Shinya, 2023. "Geospatial transition of port hinterland considering intermodal service frequency: A case study in Bangladesh," Journal of Transport Geography, Elsevier, vol. 108(C).
    9. Twrdy, Elen & Batista, Milan, 2016. "Modeling of container throughput in Northern Adriatic ports over the period 1990–2013," Journal of Transport Geography, Elsevier, vol. 52(C), pages 131-142.
    10. T. A. Santos & G. Lopes Santos & P. Martins & C. Guedes Soares, 2022. "A methodology for short-sea-shipping service design within intermodal transport chains," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(1), pages 138-167, March.
    11. M. A. Mueller & B. Wiegmans & J. H. R. Duin, 2020. "The geography of container port choice: modelling the impact of hinterland changes on port choice," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(1), pages 26-52, March.
    12. Julián Martínez Moya & María Feo Valero, 2017. "Port choice in container market: a literature review," Transport Reviews, Taylor & Francis Journals, vol. 37(3), pages 300-321, May.
    13. Démare, Thibaut & Bertelle, Cyrille & Dutot, Antoine & Lévêque, Laurent, 2017. "Modeling logistic systems with an agent-based model and dynamic graphs," Journal of Transport Geography, Elsevier, vol. 62(C), pages 51-65.
    14. Shiyuan Zheng & Rudy R. Negenborn, 2017. "Terminal investment timing decisions in a competitive setting with uncertainty using a real option approach," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(3), pages 392-411, April.
    15. Zheng, Wei & Li, Bo & Song, Dongping, 2022. "The optimal green strategies for competitive ocean carriers under potential regulation," European Journal of Operational Research, Elsevier, vol. 303(2), pages 840-856.
    16. 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.
    17. William Costa & Britaldo Soares-Filho & Rodrigo Nobrega, 2022. "Can the Brazilian National Logistics Plan Induce Port Competitiveness by Reshaping the Port Service Areas?," Sustainability, MDPI, vol. 14(21), pages 1-18, November.
    18. Wang, Xinchang & Meng, Qiang & Miao, Lixin, 2016. "Delimiting port hinterlands based on intermodal network flows: Model and algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 32-51.
    19. César Ducruet & Hidekazu Itoh, 2022. "Spatial Network Analysis of Container Port Operations: The Case of Ship Turnaround Times," Networks and Spatial Economics, Springer, vol. 22(4), pages 883-902, December.
    20. J. Verschuur & E. E. Koks & J. W. Hall, 2022. "Ports’ criticality in international trade and global supply-chains," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

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