IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v176y2023ics1366554523001941.html
   My bibliography  Save this article

An optimization model for express delivery with high-speed railway

Author

Listed:
  • Zhen, Lu
  • Fan, Tianyi
  • Li, Haolin
  • Wang, Shuaian
  • Tan, Zheyi

Abstract

With the expansion of the high-speed railway (HSR) network in China, high-speed rail express delivery (HSReD) is being used to satisfy the increasing demand for express cargo. The decisions on transportation resources arrangement and freight flow allocation are two of the key issues for practical implementation of HSReD. In this study, we examine the above key issues by developing a two-stage stochastic integer linear programming model to maximize the expected net operation profit of HSReD. A meta-heuristic solution approach introduced some tailored tactics is proposed to speed up the process of solving the above model in the large-scale instances. Numerical experiments based on different sizes and practical investigation on China Railway Nanchang Group are conducted to validate the effectiveness of the proposed model and solution approach. Some managerial implications are also obtained based on the sensitivity analysis, which may be potentially useful for optimizing the daily operation management of HSReD.

Suggested Citation

  • Zhen, Lu & Fan, Tianyi & Li, Haolin & Wang, Shuaian & Tan, Zheyi, 2023. "An optimization model for express delivery with high-speed railway," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 176(C).
    • Handle: RePEc:eee:transe:v:176:y:2023:i:c:s1366554523001941
    DOI: 10.1016/j.tre.2023.103206
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554523001941
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tre.2023.103206?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Zhang, Yundi & Hu, Rong & Chen, Ruotian & Cai, Dong-ling & Jiang, Changmin, 2024. "Competition in cargo and passenger between high-speed rail and airlines—considering the vertical structure of transportation," Transport Policy, Elsevier, vol. 151(C), pages 120-133.
    2. Zhen, Lu & Zhang, Nianzu & Yang, Zhiyuan, 2023. "Integrated optimization for high-speed railway express system with multiple modes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).

    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:eee:transe:v:176:y:2023:i:c:s1366554523001941. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    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.