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Trucking industry perceptions of congestion problems and potential solutions in maritime intermodal operations in California

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  • Regan, Amelia C.
  • Golob, Thomas F.

Abstract

Efficient maritime transportation is heavily dependent on the smooth operation of land transportation. Swift modal transfers are key to successful intermodal operations. In this paper we examine the efficiency of maritime intermodal transfer facilities in California, from the point of view of the trucking companies that use these facilities. We also examine the perceived effects of traffic network congestion on intermodal carriers' operations. Conclusions are based on a recent survey of nearly 1200 private and for-hire carriers operating in California. Over 450 of the companies surveyed had operations involving maritime ports in California. These provided a rich sample of responses and significant insights into the current state of the industry.

Suggested Citation

  • Regan, Amelia C. & Golob, Thomas F., 2000. "Trucking industry perceptions of congestion problems and potential solutions in maritime intermodal operations in California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(8), pages 587-605, November.
    • Handle: RePEc:eee:transa:v:34:y:2000:i:8:p:587-605
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    1. Hall, Randolph W. & Intihar, Chris, 1997. "Commercial Vehicle Operations: Government Interfaces And Intelligent Transportation Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9p272488, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

    1. Golob, Thomas F. & Regan, Amelia C., 2001. "Impacts of highway congestion on freight operations: perceptions of trucking industry managers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(7), pages 577-599, August.
    2. Golob, Thomas F. & Regan, Amelia C., 2000. "The Perceived Usefulness of Different Sources of Traffic Information to Trucking Operations," University of California Transportation Center, Working Papers qt95d8d0xk, University of California Transportation Center.
    3. Sonal Seth & Qianmei Feng, 2020. "Assessment of port efficiency using stepwise selection and window analysis in data envelopment analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 536-561, December.
    4. James Mlimbila & Ulingeta O. L. Mbamba, 2018. "The role of information systems usage in enhancing port logistics performance: evidence from the Dar Es Salaam port, Tanzania," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-20, December.
    5. Bowei Xu & Xiaoyan Liu & Yongsheng Yang & Junjun Li & Octavian Postolache, 2021. "Optimization for a Multi-Constraint Truck Appointment System Considering Morning and Evening Peak Congestion," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
    6. Golob, Thomas F. & Regan, Amelia C., 2003. "Surveying and Modeling Trucking Industry Perceptions, Preferences and Behavior," University of California Transportation Center, Working Papers qt1gw166zk, University of California Transportation Center.
    7. Cherry, Christopher R. & Adelakun, Adebola A., 2012. "Truck driver perceptions and preferences: Congestion and conflict, managed lanes, and tolls," Transport Policy, Elsevier, vol. 24(C), pages 1-9.
    8. Golob, Thomas F. & Reagan, Amelia C., 2002. "Trucking Industry Adoption of Information Technology: A structural Multivariate Discrete Choice Model," University of California Transportation Center, Working Papers qt7kv5f17n, University of California Transportation Center.
    9. Phan, Mai-Ha & Kim, Kap Hwan, 2015. "Negotiating truck arrival times among trucking companies and a container terminal," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 132-144.
    10. Lange, Ann-Kathrin & Nellen, Nicole & Jahn, Carlos, 2022. "Truck appointment systems: How can they be improved and what are their limits?," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 615-655, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    11. Regan, A C & Golob, Thomas F, 2000. "CVO Perspectives on the Usefulness of Various Sources of Traffic Information," University of California Transportation Center, Working Papers qt0439w6h1, University of California Transportation Center.
    12. Golob, Thomas F. & Regan, A C, 2002. "Trucking Industry Adoption of Information Technology: A Structural Multivariate Probit Model," University of California Transportation Center, Working Papers qt9w1988t7, University of California Transportation Center.
    13. Cullinane, Kevin & Wang, Teng-Fei & Song, Dong-Wook & Ji, Ping, 2006. "The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(4), pages 354-374, May.
    14. Golob, Thomas F. & Regan, A C, 2001. "The Perceived Usefulness of Different Sources of Traffic Information to Trucking Operations," University of California Transportation Center, Working Papers qt7wz0j3rm, University of California Transportation Center.

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