An agent-based model to simulate pedestrians' affective experiences and activities for evaluating urban public space design

Dados Bibliográficos

ID6419476
AutoresSenqi Yang (0000-0003-1655-2291), Gamze Dane (0000-0001-6107-2727), Theo A Arentze, Theo Arentze (0000-0003-2551-8650)
Ano2025
Volume166
Páginas106292-106292
Data de publicação2025-07-23
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoCities (JOURNAL)
Identificadores do periódicoISSN: 0264-2751 • E-ISSN: 1873-6084
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.cities.2025.106292
OpenAlexW4412608434
IdiomaEN
Citações recebidas1
Referências citadas76

As urban development increasingly emphasizes creating healthy and inclusive environments to foster positive human-environment interactions and wellbeing, pedestrians' affective experiences and activity choices are gaining attention as important indicators for design evaluation. While many computational models of pedestrians focus on travel behavior and spatial efficiency, they often overlook the experiential quality of environments, which is critical for urban public spaces. This study proposes an agent-based model (ABM) to simulate pedestrians' affective experiences, perceptions, and activities in public spaces, offering insights for experience-centered design decisions. Grounded on a theoretical framework of human-environment interaction, the model is calibrated using estimates from previous experiments. The ABM integrates affective computing, including emotion generation and its effects, while accounting for individual heterogeneity in initial conditions and activity choices. Applied in two cases, the ABM demonstrates its ability to simulate diverse pedestrian responses to design interventions. The results reveal design features that enhance affective experiences, promote diverse activities and optimize space use, highlighting differences between cognitively and emotionally driven individuals. Initially developed for train station areas, this ABM can be expanded to broader urban contexts, serving as a tool for evaluating the experiential quality of public spaces, contributing to urban digital twins for citizens

Agent-based model · Architectural engineering · Business · Civil engineering · Environmental planning · Geography · Human–computer interaction · Pedestrian · Public space · Simulation · Space syntax · Transport engineering · Urban design · Urban planning · Urban space · Color perception and design · Computer Science · Engineering · Evacuation and Crowd Dynamics · Urban Design and Spatial Analysis · Artificial Intelligence