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Conceptualizing intragroup and intergroup dynamics within a controlled crowd evacuation.

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This study introduces an agent-based model (ABM) to simulate pedestrian evacuations, focusing on how individual and group social dynamics influence egress. The model enhances crowd simulations by examining intragroup and intergroup interactions for better disaster planning.

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Area of Science:

  • Social dynamics in crowd science
  • Agent-based modeling for human behavior
  • Emergency evacuation simulations

Background:

  • Pedestrian evacuation success is heavily influenced by social dynamics.
  • Existing crowd models often lack a comprehensive analysis of individual and group interactions during egress.
  • Understanding these dynamics is crucial for improving safety in large venues.

Purpose of the Study:

  • To present a conceptual agent-based model (ABM) for studying pedestrian evacuations.
  • To investigate how autonomous, heterogeneous individuals negotiate intragroup and intergroup behaviors during egress.
  • To enhance the realism of crowd simulations by incorporating social factors at individual, intragroup, and intergroup levels.

Main Methods:

  • Development of a conceptual agent-based model (ABM).
  • Focus on autonomous, heterogeneous, decision-making agents.
  • Examination of intragroup and intergroup dynamics, building upon prior work (Vizzari et al., 2013).

Main Results:

  • The proposed ABM allows for the representation of social factors influencing decision-making in diverse groups.
  • Individual heterogeneity is shown to dynamically affect group behavior and subsequent group interactions.
  • The model provides a more realistic approximation of crowd egress by integrating individual, intragroup, and intergroup interactions.

Conclusions:

  • The developed ABM offers a more representative approach to simulating real-world crowd egress.
  • This simulation tool can inform disaster managers and emergency planners for improved evacuation strategies.
  • Future work will integrate pedestrian-vehicle interactions into a larger simulation model.