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The Clean Trucks Program: Evaluation of Policy Impacts on Marine Terminal Operations

Author

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  • Anne Goodchild

    (Department of Civil and Environmental Engineering, University of Washington, 121E More Hall, Box 352700, Seattle, WA 98195-2700, USA)

  • Karthik Mohan

    (Department of Civil and Environmental Engineering, University of Washington, 121E More Hall, Box 352700, Seattle, WA 98195-2700, USA)

Abstract

The Clean Trucks Program is a Clean Air Action Plan initiative currently being adopted by the Ports of Los Angeles and Long Beach. This paper examines each of the Clean Trucks Program's current requirements and estimates the impact on terminal operations. Using terminal operations data supplied by three terminal operating companies, we conduct a simple queuing analysis and present a regression model which allow us to consider the potential impact of the policy changes. While the impact at a specific terminal is not estimated in this paper, we consider order of magnitude effects. While the programme itself does not require terminal operations changes, the programme will modestly increase incentives to improve operational efficiency outside the terminal and reduce terminal gate processing time. It will also require technology that could be used for further operational changes. We show, however, that unless gate time improvements are matched with these operational improvements in the terminal, they will only move the delay inside the terminal and not reduce total terminal time. Our research considers the impact of the Clean Trucks Program on the Ports of Los Angeles and Long Beach, but similar concerns are driving changes at ports around the globe. Maritime Economics & Logistics (2008) 10, 393–408. doi:10.1057/mel.2008.13

Suggested Citation

  • Anne Goodchild & Karthik Mohan, 2008. "The Clean Trucks Program: Evaluation of Policy Impacts on Marine Terminal Operations," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 10(4), pages 393-408, December.
    • Handle: RePEc:pal:marecl:v:10:y:2008:i:4:p:393-408
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    Citations

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    Cited by:

    1. Leonard Heilig & Stefan Voß, 0. "Information systems in seaports: a categorization and overview," Information Technology and Management, Springer, vol. 0, pages 1-23.
    2. Branislav Dragovic & Nenad Dj. Zrnic, 2011. "A Queuing Model Study of Port Performance Evolution," Analele Universitatii "Eftimie Murgu" Resita Fascicola de Inginerie, "Eftimie Murgu" University of Resita, vol. 2(XVIII), pages 65-76, December.
    3. Chen, Gang & Govindan, Kannan & Golias, Mihalis M., 2013. "Reducing truck emissions at container terminals in a low carbon economy: Proposal of a queueing-based bi-objective model for optimizing truck arrival pattern," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 55(C), pages 3-22.
    4. 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.
    5. Leonard Heilig & Stefan Voß, 2017. "Information systems in seaports: a categorization and overview," Information Technology and Management, Springer, vol. 18(3), pages 179-201, September.
    6. Hongwen Han & Luxian Chen & Sitong Fang & Yang Liu, 2023. "The Routing Problem for Electric Truck with Partial Nonlinear Charging and Battery Swapping," Sustainability, MDPI, vol. 15(18), pages 1-29, September.
    7. Ngoc Anh Dung Do & Izabela Ewa Nielsen & Gang Chen & Peter Nielsen, 2016. "A simulation-based genetic algorithm approach for reducing emissions from import container pick-up operation at container terminal," Annals of Operations Research, Springer, vol. 242(2), pages 285-301, July.

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