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Crowd Dynamics, Volume 4

Analytics and Human Factors in Crowd Modeling

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  • © 2023

Overview

Editors:
  1. Nicola Bellomo

    1. Department of Applied Mathematics, University of Granada, Granada, Spain

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    You can also search for this editor in PubMed   Google Scholar

  2. Livio Gibelli

    1. Institute for Multiscale Thermofluids, University of Edinburgh, Edinburgh, UK

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    You can also search for this editor in PubMed   Google Scholar

  • Offers a detailed overview of the various research directions in the field of crowd dynamics
  • Utilizes a multidisciplinary approach to provide a comprehensive overview of the area
  • Demonstrates how to account for the social and psychological factors that influence crowd behavior

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-ix
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  2. Behavioral Human Crowds and Society

    • Nicola Bellomo, Livio Gibelli
    Pages 1-8

  3. The Mathematical Theory of Hughes’ Model: A Survey of Results

    • D. Amadori, B. Andreianov, M. Di Francesco, S. Fagioli, T. Girard, P. Goatin et al.
    Pages 9-53

  4. Time-Continuous Microscopic Pedestrian Models: An Overview

    • Raphael Korbmacher, Alexandre Nicolas, Antoine Tordeux, Claudia Totzeck
    Pages 55-80

  5. Empirical Investigations on the Role of Psychological Factors in Pedestrian Route Choice

    • Yunhe Tong, Nikolai W. F. Bode
    Pages 81-101

  6. Social Human Collective Decision-Making and Its Applications with Brain Network Models

    • Thoa Thieu, Roderick Melnik
    Pages 103-141

  7. Single-File Pedestrian Dynamics: A Review of Agent-Following Models

    • Jakob Cordes, Mohcine Chraibi, Antoine Tordeux, Andreas Schadschneider
    Pages 143-178

  8. State-of-the-Art Passengers Survey Examining Passengers’ Crowd Behavior in Emergencies at Train Stations

    • Nirajan Shiwakoti, Raxchaya Shrestha, Kayvan Aghabayk
    Pages 179-200

  9. On a Kinetic Modeling of Crowd Dynamics with Several Interacting Groups

    • Jie Liao, Huilin Meng, Yi’ang Ren, Wenbin Yan
    Pages 201-222

  10. Coupling Pedestrian Flow and Disease Contagion Models

    • Parveena Shamim Abdul Salam, Wolfgang Bock, Axel Klar, Sudarshan Tiwari
    Pages 223-246
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Keywords

About this book

This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics. Chapter authors approach the topic from the perspectives of mathematics, physics, engineering, and psychology, providing a comprehensive overview of the work carried out in this challenging interdisciplinary research field.  


The volume begins with an overview of analytical problems related to crowd modeling.  Attention is then given to the importance of considering the social and psychological factors that influence crowd behavior – such as emotions, communication, and decision-making processes – in order to create reliable models.  Finally, specific features of crowd behavior are explored, including single-file traffic, passenger movement, modeling multiple groups in crowds, and the interplay between crowd dynamics and the spread of disease.


Crowd Dynamics, Volume 4 is ideal for mathematicians, engineers, physicists, and other researchers working in the rapidly growing field of modeling and simulation of human crowds.



Editors and Affiliations

  • Department of Applied Mathematics, University of Granada, Granada, Spain

    Nicola Bellomo

  • Institute for Multiscale Thermofluids, University of Edinburgh, Edinburgh, UK

    Livio Gibelli

About the editors

​Nicola Bellomo is distinguished professor at the University of Granada and professor emeritus at the Polytechnic University of Torino. He started his career in 1980 when he was called to cover the chair of mathematical physics and applied mathematics due to his scientific achievements on the mathematical theory of the Boltzmann equation and of stochastic differential equations. Subsequently, he moved his scientific interests to the study of living systems, becoming one of the pioneers of the development of active particles methods to the modeling of large systems of self-propelled interacting entities. He is author of two books published by Birkhaüser devoted to this topic. NB delivered, in 2009, the prestigious Shank Lecture at the Vanderbilt University on the modeling of immune competition. He was awarded the “Third Level of Honor” for scientific merits by the President of the Italian Republic.

Livio Gibelli is a Senior Lecturer inMechanical Engineering at The University of Edinburgh. He received his Ph.D. in Applied Mathematics with distinction from the Politecnico di Milano. Prior to joining the University of Edinburgh in 2018, he held research positions at the University of Warwick, the Politecnico di Milano, the Politecnico di Torino, and the University of British Columbia. He has published over 50 peer-reviewed papers, edited three books, and secured over £2 million in research funding. He currently co-leads a research group of 5 PhD students and 3 post-doctoral researchers. His main research interests include mesoscopic modelling of crowd behaviour, non-equilibrium multiphase flows, continuum descriptions of rarefied gas dynamics and numerical methods for kinetic equations.


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