IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v639y2024ics0378437124001936.html
   My bibliography  Save this article

Dynamic characteristics of the sideways movement of pedestrians: An experimental study based on single-file experiments

Author

Listed:
  • Tan, Bangkun
  • Xuan, Chenrui
  • Xie, Wei
  • Shi, Meng
  • Ma, Yi

Abstract

In this paper, we investigate the dynamic characteristics of the sideways movements of pedestrians toward the left-hand side and right-hand side through a set of single-file experiments. We find that the velocities of pedestrians during sideways movement periodically fluctuate, and the corresponding spatiotemporal diagram of pedestrian movement exhibits a jagged pattern. In addition, by analyzing the fundamental diagrams, we find that the velocity and flow of the sideways movement toward the right-hand side are greater than the velocity and flow of the sideways movement toward the left-hand side at the same crowd density. By further exploring step frequency/step length-headway relations in rightward and leftward sideways movements, we find that the greater velocity observed in rightward sideways movement is primarily attributed to its higher step frequency. Finally, we systematically compare the dynamic characteristics of pedestrians when they move forward, backward, and sideways toward the left-hand side or right-hand side. Our comparison results indicate that among these four movement modes, the free speed and maximal flow rate of pedestrians in the sideways movement toward the left-hand side are the lowest. These findings provide new insights into pedestrian flow dynamics.

Suggested Citation

  • Tan, Bangkun & Xuan, Chenrui & Xie, Wei & Shi, Meng & Ma, Yi, 2024. "Dynamic characteristics of the sideways movement of pedestrians: An experimental study based on single-file experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
  • Handle: RePEc:eee:phsmap:v:639:y:2024:i:c:s0378437124001936
    DOI: 10.1016/j.physa.2024.129684
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437124001936
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2024.129684?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:phsmap:v:639:y:2024:i:c:s0378437124001936. 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.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.