IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v531y2019ics0378437119310039.html
   My bibliography  Save this article

Unpredictability in pedestrian flow: The impact of stochasticity and anxiety in the event of an emergency

Author

Listed:
  • Ramírez, M.
  • Torres, F.
  • Toledo, B.A.
  • Coello, M.
  • Correa-Burrows, P.
  • Rogan, J.
  • Valdivia, J.A.

Abstract

Random interactions among pedestrians, usually produced by psychological effects (e.g. anxiety), can produce collective nontrivial phenomena in their flow dynamics. Here, we improve our understanding on these phenomena by implementing cellular automaton (CA) simulations in a simplified one-dimensional corridor model. We consider different types of randomness that could be used to parametrize social, cultural or psychological behaviors; their incidence on the average evacuation time and standard deviation are studied. The randomness in the pedestrians’ motion allows separating between different phases of movement, which in the end, drives the dynamics. Our study allows to distinguish among emergent collective phenomena, unpredictability, and unexpected Brownian type behavior in certain regimes, that occur in one-dimensional hallways, such as exists in airplanes, cinemas, massive sports events, etc. These findings may be relevant to evacuation procedures in the event of an emergency, where anxiety may compromise people’s performance and the effectiveness of the evacuation plan. Therefore, it could be highly useful to introduce these aspects in the simulation of pedestrian dynamics.

Suggested Citation

  • Ramírez, M. & Torres, F. & Toledo, B.A. & Coello, M. & Correa-Burrows, P. & Rogan, J. & Valdivia, J.A., 2019. "Unpredictability in pedestrian flow: The impact of stochasticity and anxiety in the event of an emergency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    • Handle: RePEc:eee:phsmap:v:531:y:2019:i:c:s0378437119310039
    DOI: 10.1016/j.physa.2019.121742
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119310039
    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.2019.121742?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. Zhang, Wenke & Zhang, Zhichao & Ma, Yueyao & Lee, Eric Wai Ming & Shi, Meng, 2024. "Psychological impatience in pedestrian evacuation: modelling, simulations and experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).
    2. Chen, Kai & Song, Xiao & Ren, Xiaoxiang, 2021. "Modeling social interaction and intention for pedestrian trajectory prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(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:531:y:2019:i:c:s0378437119310039. 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.