A Coupled SFM-ASCRIBE Model To Investigate the Influence of Emotions and Collective Behavior in Homogeneous and Heterogeneous Crowds

Yassine Lamrhary; Aissam Jebrane; Pierre Argoul; Adnane Boukamel; Abdellah Hamdaoui

doi:10.17815/CD.2024.147

Authors

Yassine Lamrhary Centrale Casablanca, Complex Systems and Interactions Research Center, Ville Verte, Bouskoura, Morocco
Aissam Jebrane Centrale Casablanca, Complex Systems and Interactions Research Center, Ville Verte, Bouskoura, Morocco
Pierre Argoul Université Gustave Eiffel, MAST-EMGCU, Marne-la-Vallée, France
Adnane Boukamel Centrale Casablanca, Complex Systems and Interactions Research Center, Ville Verte, Bouskoura, Morocco
Abdellah Hamdaoui Laboratoire d’Ingénierie Et Matériaux LIMAT, Faculté Des Sciences Ben M’Sik, Hassan II University of Casablanca, Casablanca, Morocco

DOI:

https://doi.org/10.17815/CD.2024.147

Keywords:

Crowd dynamics, Emotional contagion, Panic propagation, Emergency evacuation, Decision making

Abstract

The understanding of crowd behavior dynamics holds immense significance in ensuring public safety across a range of situations, including emergency evacuations and large-scale events. Our research focuses on two primary objectives: investigating the impact of emotions on crowd movement and gaining valuable insights into collective behavior within crowds. To achieve this, we present a coupled model, incorporating an enhanced ASCRIBE model with an agent displacement model. We introduce heterogeneity into our model by incorporating specific mobility laws for different categories of panicked crowds, considering the influence of emotions on both speed and direction. Through numerical simulations, we analyze the model's parameters, observe the behavior of uniform crowds, and explore the collective dynamics within diverse crowds. By conducting comprehensive simulations and analyses, the findings from this study can contribute to the development of more effective crowd management strategies and emergency evacuation protocols.

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