Decoding human safety perception with eye-tracking systems, street view images, and explainable AI
Datos Bibliográficos
| ID | 7150554 |
|---|---|
| Autores | Yuhao Kang (0000-0003-3810-9450, Massachusetts Institute of Technology), Junda Chen (0000-0002-6649-2859, University of California San Diego), Liu (0000-0002-8106-2291), Liu Liu (0000-0002-3651-544X, Massachusetts Institute of Technology), Kshitij Sharma (0000-0003-3364-637X, Norwegian University of Science and Technology), Martina Mazzarello (0000-0001-8777-3927, Massachusetts Institute of Technology), Simone Mora (0000-0002-7991-1346, Norwegian University of Science and Technology), Fábio Duarte (0000-0003-0909-5379, Massachusetts Institute of Technology, autor de correspondencia), Carlo Ratti (0000-0002-1065-2972, Massachusetts Institute of Technology) |
| Año | 2026 |
| Volumen | 123 |
| Páginas | 102356 |
| Fecha de publicación | 2026-01-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Computers Environment and Urban Systems (JOURNAL) |
| Identificadores de la revista | ISSN: 0198-9715 • E-ISSN: 1873-7587 |
| Editorial | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.compenvurbsys.2025.102356 |
| OpenAlex | W7103149149 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 52 |
Feeling · Perception · Public space · Signage · Visual perception · Evacuation and Crowd Dynamics · Human Factors and Ergonomics · Human-Automation Interaction and Safety · Safety Warnings and Signage
Measuring human perceptions of a large-scale urban region using machine learning
A review of urban physical environment sensing using street view imagery in public health studies
Load Theory of Selective Attention and Cognitive Control.
Investigating the Spatiotemporal Links Between Disorder, Crime, and the Fear of Crime
The dark side of generative artificial intelligence
A human-machine adversarial scoring framework for urban perception assessment using street-view images
The global landscape of AI ethics guidelines
Place identity
“In the evening, I don’t walk in the park”
Perceptions of space and time of public transport travel associated with human brain activities
Assessing impacts of objective features and subjective perceptions of street environment on running amount
Measuring heterogeneous perception of urban space with massive data and machine learning
Evaluating the subjective perceptions of streetscapes using street-view images
Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden
“Perception bias”
Predicting perceptions of the built environment using GIS, satellite and street view image approaches
Street view imagery in urban analytics and GIS
Measuring visual walkability perception using panoramic street view images, virtual reality, and deep learning
Fear of Crime in Relation to Three Exterior Site Features
Understanding urban perception with visual data
Looking Through Broken Windows
A geospatial image based eye movement dataset for cartography and GIS
Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents’ mental health
Exploring perceptions of how nature recreation benefits mental wellbeing
Securing Sustainable Communities
The prospects and challenges of developing more inclusive, safe, resilient and sustainable cities in Nigeria
What Makes a Place Safe? Assessing AI-Generated Safety Perception Scores Using Stockholm’s Street View Images
Crime Prevention Through Environmental Design
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2026 - 2026 (1) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |