Towards more realism in pedestrian behaviour models: First steps and considerations in formalising social identity

Nanda Wijermans, Anne Templeton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Agent-based models of group behaviour often lack evidence-based psychological reasons for the behaviour. Similarly, pedestrian behaviour models focus on modelling physical movement while ignoring the psychological reasons leading to those movements (or other relevant behaviours). To improve realism, we need to be able to reflect behaviour as a consequence of feeling part of a psychological group, so we better understand why collective behaviour occurs under different circumstances. The social identity approach has been recognised as a way of understanding within and between group dynamics, as well as the processes that make an individual act as a group member. However, as promising the social identity approach is, the formalisation is a challenging endeavour since different choices can be made to reflect the core concepts and processes. We therefore in this paper elaborate on a few of these formalisation challenges and the choices we made. To support the formalisation and use of social identity approach and finally for the increased realism in group behaviour models, such as pedestrian models that are so heavily used to manage real world crowds.
Original languageEnglish
Title of host publicationAdvances in Social Simulation
Subtitle of host publicationProceedings of the 16th Social Simulation Conference, 20–24 September 2021
EditorsMarcin Czupryna, Bogumił Kamiński
ISBN (Electronic)9783030928438
ISBN (Print)9783030928421
Publication statusPublished - 30 Mar 2022

Publication series

NameSpringer Proceedings in Complexity
PublisherSpringer Cham
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692

Keywords / Materials (for Non-textual outputs)

  • psychological group
  • agent based modelling
  • social identity
  • self-categorisation theory
  • group dynamics


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