Modeling Collective Behaviour: Insights and Applications from Crowd Psychology

12Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Research from crowd psychology and pedestrian dynamics can inform one another to improve understandings and predictions of collective behaviour. In this chapter, we provide an overview of theoretical insights from crowd psychology on intragroup and intergroup behaviour and discuss possible avenues for implementing principles of the social identity approach into pedestrian models. Specifically, we debate the use of outdated assumptions of crowd behaviour, discuss how the core tenets of social identity theory and self-categorisation theory are central to understanding collective behaviour, showcase how perceptions and experiences of crowd members can be dynamic and influence their perceived safety and behaviour, and then point to recent trends in using crowd psychology to inform models of pedestrian movement and behaviour in emergencies. Finally, we examine barriers to incorporating social psychological theory into models, and look ahead to potential collaborative projects to improve crowd safety and experiences.

Cite

CITATION STYLE

APA

Templeton, A., & Neville, F. (2020). Modeling Collective Behaviour: Insights and Applications from Crowd Psychology. In Modeling and Simulation in Science, Engineering and Technology (pp. 55–81). Birkhauser. https://doi.org/10.1007/978-3-030-50450-2_4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free