Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

A particle model of crowd behavior: exploring the relationship between alcohol, crowd dynamics and violence

Moore, Simon Christopher ORCID:, Flajslik, Mario, Rosin, Paul L. ORCID: and Marshall, Andrew David ORCID: 2008. A particle model of crowd behavior: exploring the relationship between alcohol, crowd dynamics and violence. Aggression and Violent Behavior 13 (6) , pp. 413-422. 10.1016/j.avb.2008.06.004

Full text not available from this repository.


Aggressive behavior is more frequent in drunk crowds compared to sober crowds. However, there exists no predicative theory on why intoxicated crowds should display greater levels of violence as crowd density increases. This paper presents such a model. It is argued that intoxication disrupts social interactions between individuals. As emergent affiliative behaviors, such as line formation, that serve to increase flow and minimize invasions to personal space and therefore goal attainment, are a product of individual level interactions it is argued that intoxication increases individuals levels of stress and therefore aggression. This model is illustrated by a particle model of crowd behavior. Models of crowd behavior, derived from particle physics, have been successfully developed to account for collective emergent features in both human and non-human organisms through modeling individual level interactions. Simulations are consistent with the hypothesis that intoxication disrupts the emergence of affiliative behavior.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: H Social Sciences > H Social Sciences (General)
Uncontrolled Keywords: Alcohol use; Violent crime; Particle model
Publisher: Elsevier
ISSN: 1359-1789
Last Modified: 05 Jan 2024 02:07

Citation Data

Cited 29 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item