IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i15p6704-d1450375.html
   My bibliography  Save this article

Optimization of Green Multimodal Transport Schemes Considering Order Consolidation under Uncertainty Conditions

Author

Listed:
  • Pei Zhu

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Xiaolong Lv

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Quan Shao

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Caijin Kuang

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Weiwang Chen

    (Key Laboratory of Civil Aviation Thermal Disaster Prevention and Emergency, Civil Aviation University of China, Tianjin 300300, China)

Abstract

As society becomes increasingly concerned with sustainable development, the demand for high-efficiency, low-cost, and green technology makes air–land multimodal transportation one of the effective means of fast freight transportation. In the actual transportation business, some orders will have overlapping transportation routes, and transporting each order separately will result in resource waste, high costs, and carbon emissions. This paper proposes a multimodal transportation scheme optimization model considering order consolidation to improve transport efficiency and reduce costs and carbon emissions. An improved genetic algorithm incorporating the ride-sharing scheduling method is designed to solve the model. The results show that order consolidation will reduce multimodal transport costs and carbon emissions but increase transportation time slightly, and the advantages in cost and carbon emission reduction will vary with origin–destination scenarios, which are ranked in order of single-origin single-destination, single-origin multi-destinations, multi-origin single-destination, and multi-origin multi-destination. For the fourth scenario, the cost and carbon emissions decrease by 16.6% and 26.69%, respectively, and the time increases by 5.56% compared with no consolidation. For the sensibility of customer demands, it is found that order consolidation has the advantage for price-sensitive, time- and price-sensitive, and time- and carbon emission-sensitive customers; however, it is specifically beneficial for time-sensitive customers only in single-origin single-destination scenarios.

Suggested Citation

  • Pei Zhu & Xiaolong Lv & Quan Shao & Caijin Kuang & Weiwang Chen, 2024. "Optimization of Green Multimodal Transport Schemes Considering Order Consolidation under Uncertainty Conditions," Sustainability, MDPI, vol. 16(15), pages 1-29, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6704-:d:1450375
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/15/6704/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/15/6704/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lin Li & Qiangwei Zhang & Tie Zhang & Yanbiao Zou & Xing Zhao, 2023. "Optimum Route and Transport Mode Selection of Multimodal Transport with Time Window under Uncertain Conditions," Mathematics, MDPI, vol. 11(14), pages 1-25, July.
    2. Shouchen Liu, 2023. "Multimodal Transportation Route Optimization of Cold Chain Container in Time-Varying Network Considering Carbon Emissions," Sustainability, MDPI, vol. 15(5), pages 1-20, March.
    3. Dandan Chen & Yong Zhang & Liangpeng Gao & Russell G. Thompson, 2019. "Optimizing Multimodal Transportation Routes Considering Container Use," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chengling Hu & Hao Bai & Wei Li & Kaigui Xie & Yipeng Liu & Tong Liu & Changzheng Shao, 2024. "Optimal Scheduling of Networked Microgrids Considering the Temporal Equilibrium Allocation of Annual Carbon Emission Allowance," Sustainability, MDPI, vol. 16(24), pages 1-20, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Caiyi Wu & Yinggui Zhang & Yang Xiao & Weiwei Mo & Yuxie Xiao & Juan Wang, 2024. "Optimization of Multimodal Paths for Oversize and Heavyweight Cargo under Different Carbon Pricing Policies," Sustainability, MDPI, vol. 16(15), pages 1-23, August.
    2. Zhongyan Xu & Changjiang Zheng & Shukang Zheng & Genghua Ma & Zhichao Chen, 2024. "Multimodal Transportation Route Optimization of Emergency Supplies Under Uncertain Conditions," Sustainability, MDPI, vol. 16(24), pages 1-26, December.
    3. Svetla Stoilova, 2024. "An Integrated SIMUS–Game Theory Approach for Sustainable Decision Making—An Application for Route and Transport Operator Selection," Sustainability, MDPI, vol. 16(21), pages 1-31, October.
    4. Chunjiao Shao & Haiyan Wang & Meng Yu, 2022. "Multi-Objective Optimization of Customer-Centered Intermodal Freight Routing Problem Based on the Combination of DRSA and NSGA-III," Sustainability, MDPI, vol. 14(5), pages 1-25, March.
    5. Yong Peng & Yali Zhang & Dennis Z. Yu & Yijuan Luo, 2024. "Multiobjective Route Optimization for Multimodal Cold Chain Networks Considering Carbon Emissions and Food Waste," Mathematics, MDPI, vol. 12(22), pages 1-27, November.
    6. Aggarwal, Aradhna, 2020. "The Concept, Evolution, Impacts and Critical Success Factors of Regional Economic Corridors," MPRA Paper 110706, University Library of Munich, Germany, revised 16 Nov 2021.
    7. Tomasz Neumann, 2021. "Comparative Analysis of Long-Distance Transportation with the Example of Sea and Rail Transport," Energies, MDPI, vol. 14(6), pages 1-13, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6704-:d:1450375. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.