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From mindless masses to small groups: Conceptualizing collective behavior in crowd modeling.

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journal contribution
posted on 2023-06-09, 00:59 authored by Anne Templeton, John DruryJohn Drury, Andy PhilippidesAndy Philippides
Computer simulations are increasingly used to monitor and predict behavior at large crowd events, such as mass gatherings, festivals and evacuations. We critically examine the crowd modeling literature and call for future simulations of crowd behavior to be based more closely on findings from current social psychological research. A systematic review was conducted on the crowd modeling literature (N = 140 articles) to identify the assumptions about crowd behavior that modelers use in their simulations. Articles were coded according to the way in which crowd structure was modeled. It was found that 2 broad types are used: mass approaches and small group approaches. However, neither the mass nor the small group approaches can accurately simulate the large collective behavior that has been found in extensive empirical research on crowd events. We argue that to model crowd behavior realistically, simulations must use methods which allow crowd members to identify with each other, as suggested by self-categorization theory.

Funding

DTA - University of Sussex 2013 (EPSRC); G1142; EPSRC-ENGINEERING & PHYSICAL SCIENCES RESEARCH COUNCIL; EP/L505109/1

History

Publication status

  • Published

File Version

  • Published version

Journal

Review of General Psychology

ISSN

1089-2680

Publisher

American Psychological Association

Issue

3

Volume

19

Page range

215-229

Department affiliated with

  • Informatics Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2016-04-20

First Open Access (FOA) Date

2016-04-20

First Compliant Deposit (FCD) Date

2016-04-20

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