IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v51y2024i6p1380-1383.html
   My bibliography  Save this article

Geo-visualisation of the community structure of intercity express delivery network in China based on waybill big data

Author

Listed:
  • Jiacheng Chang
  • Guoqi Li
  • Wenjie Sun
  • Nannan He
  • Guopeng Du

Abstract

Waybill data can reflect the transport process of express delivery in different cities, providing an important basis for revealing intercity logistics connectivity. However, current research neglects the critical function of routing information in waybill data, making it difficult to realistically represent intercity connectivity in the express delivery network. This study uses waybill big data with routing information to map the spatial distribution and network structures of intercity express delivery networks in China, and identifies three main types of network communities: interprovincial communities, regional hub communities, and corridor pattern communities, so that a more accurate and realistic representation of intercity connectivity can be presented.

Suggested Citation

  • Jiacheng Chang & Guoqi Li & Wenjie Sun & Nannan He & Guopeng Du, 2024. "Geo-visualisation of the community structure of intercity express delivery network in China based on waybill big data," Environment and Planning B, , vol. 51(6), pages 1380-1383, July.
  • Handle: RePEc:sae:envirb:v:51:y:2024:i:6:p:1380-1383
    DOI: 10.1177/23998083241241842
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23998083241241842
    Download Restriction: no

    File URL: https://libkey.io/10.1177/23998083241241842?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
    ---><---

    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:sae:envirb:v:51:y:2024:i:6:p:1380-1383. 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: SAGE Publications (email available below). General contact details of provider: .

    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.