Modeling Crowd Behavior in a Theater

2018 ◽  
pp. 49-54
Author(s):  
Enrico Barbierato ◽  
Marco Gribaudo ◽  
Mauro Iacono ◽  
Alexander H. Levis
Keyword(s):  
Crowd Behavior

Crowd behavior observation for military simulation

2004 ◽  
Author(s):  
Carlotta M. Boone ◽  
Ryland C. Gaskins ◽  
Mikel D. Petty
Keyword(s):  
Crowd Behavior ◽  
Behavior Observation

Does mathematical time law govern crowd behavior?

2019 ◽  
Author(s):  
Editage Insights
Keyword(s):  
Crowd Behavior

Integrating Computer Vision Algorithms and Ontologies for Spectator Crowd Behavior Analysis

2017 ◽  
pp. 297-319 ◽  
Author(s):  
Davide Conigliaro ◽  
Roberta Ferrario ◽  
Céline Hudelot ◽  
Daniele Porello
Keyword(s):  
Computer Vision ◽  
Behavior Analysis ◽  
Crowd Behavior ◽  
Crowd Behavior Analysis

Assessing the Psychosocial Elements of Crowds at Mass Gatherings

2011 ◽  
Vol 26 (6) ◽  
pp. 414-421 ◽  
Author(s):  
Alison Hutton ◽  
Kathryn Zeitz ◽  
Steve Brown ◽  
Paul Arbon
Keyword(s):  
Health And Safety ◽  
Pilot Project ◽  
Assessment Tools ◽  
Future Research ◽  
Mass Gathering ◽  
Crowd Behavior ◽  
Descriptive Data ◽  
Data Set ◽  
Mass Gatherings ◽  
Psychosocial Domain

AbstractIntroduction: The environmental aspects of mass gatherings that can affect the health and safety of the crowd have been well described. Although it has been recognized that the nature of the crowd will directly impact the health and safety of the crowd, the majority of research focuses on crowd behavior in a negative context such as violence or conflict. Within the mass gathering literature, there is no agreement on what crowd behavior, crowd mood and crowd type actually mean. At the same time, these elements have a number of applications, including event management and mass gathering medicine. These questions are worthy of exploration.Methods: This paper will report on a pilot project undertaken to evaluate how effective current crowd assessment tools are in understanding the psychosocial domain of a mass gathering event.Results: The pilot project highlighted the need for a more consistent descriptive data set that focuses on crowd behavior.Conclusions: The descriptive data collected in this study provide a beginning insight into the science of understanding crowds at a mass gathering event. This pilot has commenced a process of quantifying the psychosocial nature of an event. To maximize the value of this work, future research is required to understand the interplay among the three domains of mass gatherings (physical, environmental and psychological), along with the effects of each element within the domains on safety and health outcomes for participants at mass gatherings.

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