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Spatial network analysis of container port operations: the case of ship turnaround times

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  • César Ducruet
  • Hidekazu Itoh

Abstract

This research investigates the determinants of ship turnaround times at about 2,300 container ports between 1977 and 2016, based on nearly 3 million daily vessel movements. It adopts a multilevel approach combining territorial and network indicators to characterize ports, and proposes a new methodology calculating shipping delays. Main results reveal that port connectivity, Gross Domestic Product per capita, the number of vessel calls, and island location foster efficient port operations. Conversely, urban population, voyage delays at sea, maximum ship size, and upstream location increase turnaround time. While average turnaround time and inter-port sailing time have both regularly declined, operational and technological changes in the ports and maritime sector - especially after the 2007/8 global financial crisis - accelerated intra-port time and slowed down inter-port time. This relational and spatial approach also underlines the geographic differentiation of ship times nationally and regionally, as it is far from being randomly distributed on the globe.

Suggested Citation

  • 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.
    • Handle: RePEc:drm:wpaper:2022-15
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    File URL: https://economix.fr/pdf/dt/2022/WP_EcoX_2022-15.pdf
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    References listed on IDEAS

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    1. Masayuki Doi & Hidekazu Itoh & Piyush Tiwari, 2006. "A Computable General Equilibrium Analysis of Efficiency Improvements at Japanese Ports," World Scientific Book Chapters, in: Masayuki Doi (ed.), Computable General Equilibrium Approaches In Urban And Regional Policy Studies, chapter 7, pages 115-137, World Scientific Publishing Co. Pte. Ltd..
    2. David L. Hummels & Georg Schaur, 2013. "Time as a Trade Barrier," American Economic Review, American Economic Association, vol. 103(7), pages 2935-2959, December.
    3. Wilmsmeier, Gordon & Hoffmann, Jan & Sanchez, Ricardo J., 2006. "The Impact of Port Characteristics on International Maritime Transport Costs," Research in Transportation Economics, Elsevier, vol. 16(1), pages 117-140, January.
    4. Yan, Jia & Sun, Xinyu & Liu, John J., 2009. "Assessing container operator efficiency with heterogeneous and time-varying production frontiers," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 172-185, January.
    5. Rodrigue, Jean-Paul & Notteboom, Theo, 2010. "Foreland-based regionalization: Integrating intermediate hubs with port hinterlands," Research in Transportation Economics, Elsevier, vol. 27(1), pages 19-29.
    6. Ducruet, César & Itoh, Hidekazu & Berli, Justin, 2020. "Urban gravity in the global container shipping network," Journal of Transport Geography, Elsevier, vol. 85(C).
    7. Jose Tongzon & Lavina Sawant, 2007. "Port choice in a competitive environment: from the shipping lines' perspective," Applied Economics, Taylor & Francis Journals, vol. 39(4), pages 477-492.
    8. Theo E Notteboom, 2006. "The Time Factor in Liner Shipping Services," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 8(1), pages 19-39, March.
    9. Tongzon, Jose, 2001. "Efficiency measurement of selected Australian and other international ports using data envelopment analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(2), pages 107-122, February.
    10. César Ducruet & Hidekazu Itoh & Justin Berli, 2020. "Urban gravity in the global container shipping network," Post-Print hal-03246894, HAL.
    11. Bernhofen, Daniel M. & El-Sahli, Zouheir & Kneller, Richard, 2016. "Estimating the effects of the container revolution on world trade," Journal of International Economics, Elsevier, vol. 98(C), pages 36-50.
    12. Piyush Tiwari & Hidekazu Itoh & Masayuki Doi, 2003. "Shippers' Port and Carrier Selection Behaviour in China: A Discrete Choice Analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 5(1), pages 23-39, March.
    13. Guerrero, David & Rodrigue, Jean-Paul, 2014. "The waves of containerization: shifts in global maritime transportation," Journal of Transport Geography, Elsevier, vol. 34(C), pages 151-164.
    14. Ducruet, César, 2020. "The geography of maritime networks: A critical review," Journal of Transport Geography, Elsevier, vol. 88(C).
    15. Eduardo A. Haddad & Geoffrey J. D. Hewings & Fernando S. Perobelli & Raul A. C. dos Santos, 2010. "Regional Effects of Port Infrastructure: A Spatial CGE Application to Brazil," International Regional Science Review, , vol. 33(3), pages 239-263, July.
    16. César Ducruet & Hidekazu Itoh & Justin Berli, 2020. "Urban gravity in the global container shipping network," Post-Print halshs-02588449, HAL.
    17. Ross Robinson, 2002. "Ports as elements in value-driven chain systems: the new paradigm," Maritime Policy & Management, Taylor & Francis Journals, vol. 29(3), pages 241-255.
    18. Bert Vernimmen & Wout Dullaert & Steve Engelen, 2007. "Schedule Unreliability in Liner Shipping: Origins and Consequences for the Hinterland Supply Chain," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 9(3), pages 193-213, September.
    19. Jones, Dean A. & Farkas, Julie L. & Bernstein, Orr & Davis, Chad E. & Turk, Adam & Turnquist, Mark A. & Nozick, Linda K. & Levine, Brian & Rawls, Carmen G. & Ostrowski, Scott D. & Sawaya, William, 2011. "U.S. import/export container flow modeling and disruption analysis," Research in Transportation Economics, Elsevier, vol. 32(1), pages 3-14.
    20. 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.
    21. Talley, Wayne K. & Ng, ManWo, 2016. "Port multi-service congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 66-70.
    22. Olaf Merk & Jan Hoffmann & Hercules Haralambides, 2022. "Post-COVID-19 scenarios for the governance of maritime transport and ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(4), pages 673-685, December.
    23. César Ducruet, 2020. "The geography of maritime networks : a critical review," Post-Print hal-03246890, HAL.
    24. Qi, Xiangtong & Song, Dong-Ping, 2012. "Minimizing fuel emissions by optimizing vessel schedules in liner shipping with uncertain port times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 863-880.
    25. Notteboom, Theo, 2016. "The adaptive capacity of container ports in an era of mega vessels: The case of upstream seaports Antwerp and Hamburg," Journal of Transport Geography, Elsevier, vol. 54(C), pages 295-309.
    26. Theo Notteboom & Thanos Pallis & Jean-Paul Rodrigue, 2021. "Disruptions and resilience in global container shipping and ports: the COVID-19 pandemic versus the 2008–2009 financial crisis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 179-210, June.
    27. Wang, Shuaian & Meng, Qiang, 2012. "Liner ship route schedule design with sea contingency time and port time uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 46(5), pages 615-633.
    28. Hummels, David, 2001. "Time As A Trade Barrier," Working papers 28701, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    29. Hidekazu Itoh, 2002. "Effeciency Changes at Major Container Ports in Japan: A Window Application of Data Envelopment Analysis," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 14(2), pages 133-152, July.
    30. Ancor Suárez-Alemán & Lourdes Trujillo & Kevin P B Cullinane, 2014. "Time at ports in short sea shipping: When timing is crucial," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(4), pages 399-417, December.
    31. Hildegunn Kyvik Nordås & Enrico Pinali & Massimo Geloso Grosso, 2006. "Logistics and Time as a Trade Barrier," OECD Trade Policy Papers 35, OECD Publishing.
    32. César Ducruet, 2020. "The geography of maritime networks: A critical review," Post-Print halshs-02922543, HAL.
    33. Hamed Hasheminia & Changmin Jiang, 2017. "Strategic trade-off between vessel delay and schedule recovery: an empirical analysis of container liner shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(4), pages 458-473, May.
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    More about this item

    Keywords

    congestion; containerization; liner shipping networks; port cities; ship turnaround time; uncertainty;
    All these keywords.

    JEL classification:

    • L90 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - General
    • N70 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - General, International, or Comparative
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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