IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v620y2023ics0378437123002959.html
   My bibliography  Save this article

An evacuation guidance model for heterogeneous populations in large-scale pedestrian facilities with multiple exits

Author

Listed:
  • Chen, Liang
  • Guo, Zhi-Liang
  • Wang, Tao
  • Li, Chuan-Yao
  • Tang, Tie-Qiao

Abstract

This study proposes an evacuation guidance model for heterogeneous populations to investigate the effects of guidance strategies on the evacuation process in large-scale pedestrian facilities with multiple exits. The guidance model integrates an exit choice model and a microscopic pedestrian simulation model with discrete space representation. The exit choice model, considering the travel distance to each exit, the level of congestion and the movement speed of pedestrians, generates the allocation of exits to pedestrians. The microscopic simulation model depicts the pedestrian movements during the evacuation under guidance. Numerical simulations are conducted to evaluate the performance of the guidance strategy. Simulation results indicate that by balancing the time interval for sending evacuation instruction and the frequency of the target exit changes, better evacuation performance can be achieved. Comparison between two cases with and without instruction reveals that the performance of the guidance strategy is closely related to the pedestrian density level and the heterogeneous speeds of pedestrians. The evacuation performance is also affected by the compliance behavior and non-compliance behavior of pedestrians. The findings can provide theoretical suggestions for the effective management of crowd movement at large events.

Suggested Citation

  • Chen, Liang & Guo, Zhi-Liang & Wang, Tao & Li, Chuan-Yao & Tang, Tie-Qiao, 2023. "An evacuation guidance model for heterogeneous populations in large-scale pedestrian facilities with multiple exits," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 620(C).
  • Handle: RePEc:eee:phsmap:v:620:y:2023:i:c:s0378437123002959
    DOI: 10.1016/j.physa.2023.128740
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437123002959
    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.2023.128740?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:620:y:2023:i:c:s0378437123002959. 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.