Advancing Pedestrian Models
A Comparative Review and Vision for the Future
Bibliographic Data
| ID | 17570510 |
|---|---|
| Authors | Niaz Mahmud Zafri (0000-0002-0120-1862, Massachusetts Institute of Technology), Andres Sevtsuk (0000-0001-5098-9636, Massachusetts Institute of Technology, corresponding author) |
| Year | 2026 |
| Pages | 1-18 |
| Publication date | 2026-02-23 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of the American Planning Association (JOURNAL) |
| Journal identifiers | ISSN: 0194-4363 • E-ISSN: 1939-0130 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/01944363.2026.2618643 |
| OpenAlex | W7131213482 |
| Language | EN |
| References cited | 30 |
Pedestrian · Architecture and Computational Design · Evacuation and Crowd Dynamics · Urban Design and Spatial Analysis
The End of Automobile Dependence
Modelling Transport
A Probabilistic Analysis of Shopping Center Trade Areas
Correlates of Walking for Transportation or Recreation Purposes
Modeling pedestrian activity in cities with urban network analysis
Using multiple hybrid spatial design network analysis to predict longitudinal effect of a major city centre redevelopment on pedestrian flows
MoPeD meets Mito
Madina Python package
Representing pedestrian activity in travel demand models
Evolution in Local Traffic Impact Assessment Practices
Studying Understudied Populations’ Travel Behaviors with a Machine Learning Approach
Pedestrian-oriented development in Beirut
| Citation velocity | historical |
|---|---|
| Highly cited | No |