IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v185y2024ics1366554524000875.html
   My bibliography  Save this article

Metaverse in transportation and logistics operations: An AI-supported digital technological framework

Author

Listed:
  • Kuo, Hsin-Tsz
  • Choi, Tsan-Ming

Abstract

In the digital age, supported by disruptive technologies such as artificial intelligence (AI), blockchain (BC), digital twins (DT), and extended reality (ER), the use of metaverse for real-world operations has emerged. In this paper, we examine the use of metaverse for transportation and logistics operations. To be specific, we first examine the related literature by a selective critical review. Then, we discuss how the use of metaverse can facilitate transportation operations with some relevant cases such as the metaverse project of MTR (from Hong Kong). We establish an AI supported digital technological framework, called the ABCDE framework, for transportation and logistics companies to adopt with their use of metaverse. Finally, we propose and discuss several important future research areas. To the best of our knowledge, this is the first study which comprehensively examines the use of metaverse for transportation and logistics operations. The theoretical framework also lays the foundation for future studies. The findings and insights provide constructive and helpful guidance to both practitioners and academics on the future development of the topic.

Suggested Citation

  • Kuo, Hsin-Tsz & Choi, Tsan-Ming, 2024. "Metaverse in transportation and logistics operations: An AI-supported digital technological framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
  • Handle: RePEc:eee:transe:v:185:y:2024:i:c:s1366554524000875
    DOI: 10.1016/j.tre.2024.103496
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554524000875
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tre.2024.103496?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.

    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:185:y:2024:i:c:s1366554524000875. 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.