IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v47y2024i1p42-61.html
   My bibliography  Save this article

Effects of built environment on metro ridership at a microscopic scale: a case study of Xi’an, China

Author

Listed:
  • Siyi Zhang
  • Yonggang Wang
  • Zixuan Liu
  • Jiazhuo Huang

Abstract

Few studies have examined the relationship at the microscopic spatial scale. In this study, multiple sources of data including mobile phone signal data, automatic fare collection system data, geo-information data, and street-view image data are combined to measure metro ridership and built environment at the plot or block scale. The Random Gradient Boosting Decision Tree was used to explore relationship between the built environment and ridership. The results show the following: (1) the relationship between built environment and ridership shows different types of curves. (2) The path distance to the metro station and the visual perception of road space have more significant impacts on ridership than road network density. (3) The location of the grid also affects grid-level metro ridership. The results suggest that planners should consider the locational factors, pay attention to the different effective thresholds of different variables on ridership and the longitudinal landscaping of non-motorized urban roads.

Suggested Citation

  • Siyi Zhang & Yonggang Wang & Zixuan Liu & Jiazhuo Huang, 2024. "Effects of built environment on metro ridership at a microscopic scale: a case study of Xi’an, China," Transportation Planning and Technology, Taylor & Francis Journals, vol. 47(1), pages 42-61, January.
    • Handle: RePEc:taf:transp:v:47:y:2024:i:1:p:42-61
    DOI: 10.1080/03081060.2023.2261508
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2023.2261508
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03081060.2023.2261508?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.

    More about this item

    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:taf:transp:v:47:y:2024:i:1:p:42-61. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GTPT20 .

    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.