IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v627y2023ics0378437123006829.html
   My bibliography  Save this article

An extended social force model considering the psychological impact of the hazard source and its behavioural manifestation

Author

Listed:
  • Deng, Kaifeng
  • Hu, Xiangmin
  • Li, Meng
  • Chen, Tao

Abstract

The hazard source is the essential cause for evacuations, and it has an impact on the psychological state of the pedestrians, which is further manifested in their behavioural patterns. This study aims to integrate a non-spreading hazard source into the social force model following the results from a previous experiment, and to simulate the pre-evacuation delay time and a virtual repulsion force from the hazard source, controlled by its properties. The integration is validated with the results of the previous experiment, and subsequent simulations reveal 1) that the pre-evacuation delay time is the major contributor to the effects of the hazard source, 2) that the detour effect, generated by the repulsion force, significantly lengthens the evacuation time for sparse crowds, and 3) that a moderate (but not stronger) repulsion force near the bottleneck improves the efficiency to pass through it for dense crowds.

Suggested Citation

  • Deng, Kaifeng & Hu, Xiangmin & Li, Meng & Chen, Tao, 2023. "An extended social force model considering the psychological impact of the hazard source and its behavioural manifestation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 627(C).
  • Handle: RePEc:eee:phsmap:v:627:y:2023:i:c:s0378437123006829
    DOI: 10.1016/j.physa.2023.129127
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437123006829
    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.2023.129127?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. Liu, Yulu & Ma, Xuechen & Tao, Yizhou & Dong, Liyun & Ding, Xu & Qiu, Xiang, 2024. "Numerical investigation on the impact of obstacles on phase transition in pedestrian counter-flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).
    2. Tian, Jiangtao & Li, Xingli & Guo, Qinghua & Kuang, Hua, 2024. "Dynamics characteristic of pedestrians’ particular overtaking behavior based on an improved social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(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:627:y:2023:i:c:s0378437123006829. 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.