Literature DB >> 27291090

Human behaviours in evacuation crowd dynamics: From modelling to "big data" toward crisis management.

N Bellomo1, D Clarke2, L Gibelli3, P Townsend4, B J Vreugdenhil5.   

Abstract

This paper proposes an essay concerning the understanding of human behaviours and crisis management of crowds in extreme situations, such as evacuation through complex venues. The first part focuses on the understanding of the main features of the crowd viewed as a living, hence complex system. The main concepts are subsequently addressed, in the second part, to a critical analysis of mathematical models suitable to capture them, as far as it is possible. Then, the third part focuses on the use, toward safety problems, of a model derived by the methods of the mathematical kinetic theory and theoretical tools of evolutionary game theory. It is shown how this model can depict critical situations and how these can be managed with the aim of minimizing the risk of catastrophic events.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Complexity; Crowd dynamics; Decision making; Human behaviour; Kinetic theory; Stress propagation

Mesh:

Year:  2016        PMID: 27291090     DOI: 10.1016/j.plrev.2016.05.014

Source DB:  PubMed          Journal:  Phys Life Rev        ISSN: 1571-0645            Impact factor:   11.025


  4 in total

1.  On the effectiveness of multi-feature evacuation systems: an agent-based exploratory simulation study.

Authors:  Kashif Zia; Umar Farooq; Muhammad Shafi; Alois Ferscha
Journal:  PeerJ Comput Sci       Date:  2021-05-19

2.  A microscopic simulation model for pedestrian-pedestrian and pedestrian-vehicle interactions at crosswalks.

Authors:  Manxia Liu; Weiliang Zeng; Peng Chen; Xuyi Wu
Journal:  PLoS One       Date:  2017-07-17       Impact factor: 3.240

3.  Multi-Person Tracking and Crowd Behavior Detection via Particles Gradient Motion Descriptor and Improved Entropy Classifier.

Authors:  Faisal Abdullah; Yazeed Yasin Ghadi; Munkhjargal Gochoo; Ahmad Jalal; Kibum Kim
Journal:  Entropy (Basel)       Date:  2021-05-18       Impact factor: 2.524

4.  EXPOSED: An occupant exposure model for confined spaces to retrofit crowd models during a pandemic.

Authors:  Enrico Ronchi; Ruggiero Lovreglio
Journal:  Saf Sci       Date:  2020-07-22       Impact factor: 4.877

  4 in total

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