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Lane Allocation Optimization in Container Seaport Gate System Considering Carbon Emissions

Author

Listed:
  • Zhihong Jin

    (Transportation Engineering College, Dalian Maritime University, Dalian 116026, China)

  • Xin Lin

    (School of Management, Zhejiang University, Hangzhou 310058, China
    Xin Lin is the co-first author and Zhejiang University is the co-first research institute of the paper.)

  • Linlin Zang

    (Transportation Engineering College, Dalian Maritime University, Dalian 116026, China)

  • Weiwei Liu

    (School of Economics and Management, Dalian University of Technology, Dalian 116024, China)

  • Xisheng Xiao

    (Bigdata Technology Institute, Guizhou Light Industry Polytechnic College, Guiyang 550025, China)

Abstract
Long queues of arrival trucks are a common problem in seaports, and thus, carbon emissions generated from trucks in the queue cause environmental pollution. In order to relieve gate congestion and reduce carbon emissions, this paper proposes a lane allocation framework combining the truck appointment system (TAS) for four types of trucks. Based on the distribution of arrival times obtained from the TAS, lane allocation decisions in each appointment period are determined in order to minimize the total cost, including the operation cost and carbon emissions cost. The resultant optimization model is a non-linear fractional integer program. This model was firstly transformed to an equivalent integer program with bilinear constraints. Then, an improved branch-and-bound algorithm was designed, which includes further transforming the program into a linear program using the McCormick approximation method and iteratively generating a tighter outer approximation along the branch-and-bound procedure. Numerical studies confirmed the validity of the proposed model and algorithm, while demonstrating that the lane allocation decisions could significantly reduce carbon emissions and operation costs.

Suggested Citation

  • Zhihong Jin & Xin Lin & Linlin Zang & Weiwei Liu & Xisheng Xiao, 2021. "Lane Allocation Optimization in Container Seaport Gate System Considering Carbon Emissions," Sustainability, MDPI, vol. 13(7), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3628-:d:523570
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    References listed on IDEAS

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    Cited by:

    1. Marina Zanne & Elen Twrdy & Bojan Beškovnik, 2021. "The Effect of Port Gate Location and Gate Procedures on the Port-City Relation," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
    2. Rehman, Waqas ur & Bo, Rui & Mehdipourpicha, Hossein & Kimball, Jonathan W., 2022. "Sizing battery energy storage and PV system in an extreme fast charging station considering uncertainties and battery degradation," Applied Energy, Elsevier, vol. 313(C).
    3. 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.
    4. Mehran Farzadmehr & Valentin Carlan & Thierry Vanelslander, 2023. "Contemporary challenges and AI solutions in port operations: applying Gale–Shapley algorithm to find best matches," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-44, December.
    5. Egor PLOTNIKOV & Aleksandr RAKHMANGULOV, 2021. "Modeling China'S Dry Port Cooperation In Supply Chains," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 16(3), pages 89-103, September.

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