Behavioral crowds: Theory, applications and research perspectives

This special issue explores recent advances in the modeling, analysis, and simulation of collective dynamics across complex living systems in physics, engineering, and the life sciences. The collected papers present innovative approaches to understanding emergent behaviors in these systems, ranging from novel mathematical frameworks to computational methods. Our editorial synthesizes the key themes and findings presented in the papers, highlighting their interconnections and broader implications for the field. We begin by outlining the scope and goals of this special issue, followed by a critical analysis of the scientific contributions of each article, and conclude with an examination of promising future research directions in complex systems modeling.

Authors

Institutions

Publication Details

Journal
Mathematical Models and Methods in Applied Sciences
Published
2025-03-28
DOI
https://doi.org/10.1142/s0218202525020026
Citations
1
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
1.15

Funders

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article

Behavioral crowds: Theory, applications and research perspectives

Nicola Bellomo, Franco Brezzi, Livio Gibelli
1 citations
Mathematical Models and Methods in Applied Sciences
Evacuation and Crowd Dynamics
1.15
article

Behavioral crowds: Theory, applications and research perspectives

Nicola Bellomo, Franco Brezzi, Livio Gibelli
article en
1 citations

Abstract

This special issue explores recent advances in the modeling, analysis, and simulation of collective dynamics across complex living systems in physics, engineering, and the life sciences. The collected papers present innovative approaches to understanding emergent behaviors in these systems, ranging from novel mathematical frameworks to computational methods. Our editorial synthesizes the key themes and findings presented in the papers, highlighting their interconnections and broader implications for the field. We begin by outlining the scope and goals of this special issue, followed by a critical analysis of the scientific contributions of each article, and conclude with an examination of promising future research directions in complex systems modeling.

Mathematical Models and Methods in Applied SciencesVol. 35(07)
Universidad de Granada (ES), Politecnico di Torino (IT), Istituto Universitario di Studi Superiori di Pavia (IT), Istituto di Matematica Applicata e Tecnologie Informatiche (IT), University of Edinburgh (GB)
Agencia Estatal de Investigación
Openalex Percentile: Top 25%
Evacuation and Crowd Dynamics
1.15
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