IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-690-1_31.html

Problems and Countermeasures of Intelligent Logistics in Transportation under the Background of Cost Reduction and Efficiency Enhancement

In: Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024)

Author

Listed:
  • Sicong Li

    (Research Institute of Highway Ministry of Transport)

  • Jing Ye

    (Research Institute of Highway Ministry of Transport)

  • Zhiqiang Niu

    (Research Institute of Highway Ministry of Transport)

Abstract

Smart logistics has the characteristics of automation, intelligence, and efficiency, and is an important technical means for reducing costs, improving quality, and increasing efficiency in transportation logistics. In recent years, technologies such as big data, the Internet of Things, blockchain, and artificial intelligence have been rapidly updated in China’s transportation sector. However, their development is uneven, their application is insufficient, and information exchange is not smooth. There are problems such as insufficient breadth and depth in reducing costs and improving quality and efficiency in transportation and logistics. To further leverage the important role of smart logistics in promoting cost reduction, quality improvement, and efficiency enhancement in transportation logistics, it is necessary to continuously optimize the allocation of transportation smart logistics resource elements, accelerate the iteration and innovation of facility and equipment technology, improve the industry management system, promote balanced development, win economies of scale, and enhance development efficiency.

Suggested Citation

  • Sicong Li & Jing Ye & Zhiqiang Niu, 2025. "Problems and Countermeasures of Intelligent Logistics in Transportation under the Background of Cost Reduction and Efficiency Enhancement," Advances in Economics, Business and Management Research, in: Lina Zhong & Tang Yao & Chee Yoong Liew & Hongbo Li (ed.), Proceedings of the 2024 6th International Conference on Economic Management and Model Engineering (ICEMME 2024), pages 325-334, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-690-1_31
    DOI: 10.2991/978-94-6463-690-1_31
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:advbcp:978-94-6463-690-1_31. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.