IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v119y2024ics0966692324001637.html
   My bibliography  Save this article

Toward pedestrian-friendly cities: Nonlinear and interaction effects of building density on pedestrian volume

Author

Listed:
  • Zeng, Qian
  • Wu, Hao
  • Zhou, Luyao
  • Huang, Gonghu
  • Li, Yuting
  • Dewancker, Bart Julien

Abstract

In the context of diverse urban building density, creating pedestrian-friendly cities is crucial for sustainable development. However, previous studies have revealed potential variations in the influence of building density on walking and in the associations between built environment factors and walking across different building densities. The reasons behind these variations have not been thoroughly investigated. Pedestrian volume on the street is one of the main indicators of walking. Therefore, this study applied the RF + PDP model to explore the nonlinear relationship between building density and pedestrian volume and the interaction effect of building density on the relationship between built environment factors and pedestrian volume. Empirical analysis conducted in Chengdu City revealed the following: (1) Building density influenced pedestrian volume in a nonlinear manner, and the pedestrian volume reached the peak when the building density was at 0.3. (2) There existed interaction effects of building densities and built environment factors on pedestrian volume. (3) The impacts of mesoscale built environment factors (such as distance to transit) and microscale built environment factors (including vegetation index, road index, and sidewalk index) on pedestrian volume were strongly modulated by building density. These findings have important implications for developing targeted planning policies aimed at creating pedestrian-friendly cities.

Suggested Citation

  • Zeng, Qian & Wu, Hao & Zhou, Luyao & Huang, Gonghu & Li, Yuting & Dewancker, Bart Julien, 2024. "Toward pedestrian-friendly cities: Nonlinear and interaction effects of building density on pedestrian volume," Journal of Transport Geography, Elsevier, vol. 119(C).
  • Handle: RePEc:eee:jotrge:v:119:y:2024:i:c:s0966692324001637
    DOI: 10.1016/j.jtrangeo.2024.103954
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692324001637
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2024.103954?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:eee:jotrge:v:119:y:2024:i:c:s0966692324001637. 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: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.