IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v528y2019ics0378437119307472.html
   My bibliography  Save this article

Modeling and simulating the pedestrian flow in a training school classroom during the pickup period

Author

Listed:
  • Tang, Tie-Qiao
  • Xie, Chuan-Zhi
  • Chen, Liang

Abstract

Children training schools widely exist in China and pedestrian congestion and potential safety hazard occurs during the pickup period. However, little effort has been made to explore the pedestrian flow in a training school. In this paper, we study the pedestrian flow in a training school classroom during the pickup period. Based on the features of the pedestrian flow in training school classrooms, we design three rules to depict the adult-child matching behavior, and then propose an extended CA (cellular automaton) model to explore each pedestrian’s motion under each rule. The numerical results show that each rule influences the matching behavior, each pedestrian’s motion, the evacuation efficiency and the potential safety hazard. These results can help administrators to design some effective evacuation strategies in training school during the pickup period (especially when an emergency occurs).

Suggested Citation

  • Tang, Tie-Qiao & Xie, Chuan-Zhi & Chen, Liang, 2019. "Modeling and simulating the pedestrian flow in a training school classroom during the pickup period," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 528(C).
    • Handle: RePEc:eee:phsmap:v:528:y:2019:i:c:s0378437119307472
    DOI: 10.1016/j.physa.2019.121281
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119307472
    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.2019.121281?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhou, Jibiao & Chen, Siyuan & Ma, Changxi & Dong, Sheng, 2022. "Stability analysis of pedestrian traffic flow in horizontal channels: A numerical simulation method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
    2. Alireza Mohammadi & Behzad Kiani & Hassan Mahmoudzadeh & Robert Bergquist, 2023. "Pedestrian Road Traffic Accidents in Metropolitan Areas: GIS-Based Prediction Modelling of Cases in Mashhad, Iran," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    3. Wang, Weili & Zhang, Jingjing & Li, Haicheng & Xie, Qimiao, 2020. "Experimental study on unidirectional pedestrian flows in a corridor with a fixed obstacle and a temporary obstacle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).

    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:528:y:2019:i:c:s0378437119307472. 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.