Beyond the average
Modeling heterogeneous emotional responses to urban form using explainable machine learning and ambulatory technology
Bibliographic Data
| ID | 19486885 |
|---|---|
| Authors | Meng Cai (0000-0001-6308-7105, Wuhan University of Technology), Linxuan Xie, Xie Linxuan (Wuhan University), Luyao Xiang (0009-0005-8602-2028), Xiang Luyao (Chinese University of Hong Kong, corresponding author), Jie Chen (0000-0002-9254-4413, Central South University) |
| Year | 2026 |
| Volume | 136 |
| Pages | 107079 |
| Publication date | 2026-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2025.107079 |
| OpenAlex | W4417443786 |
| Language | EN |
| Citations received | 1 |
| References cited | 70 |
Built environment · Dimension (graph theory) · Empirical research · Pedestrian · Quantile · Quantile regression · Regression analysis · Scale (ratio) · Wearable technology · Urban Design and Spatial Analysis · Urban Green Space and Health · Urban Transport and Accessibility
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Urbanization and emerging mental health issues
Stress recovery and restorative effects of viewing different urban park scenes in Shanghai, China
Urban form revisited—Selecting indicators for characterising European cities
A global comparative analysis of urban form
Meso- or micro-scale? Environmental factors influencing pedestrian satisfaction
Relationship between psychological responses and physical environments in forest settings
To Take Hold of Space
A gentle introduction to quantile regression for ecologists
Multicollinearity and Regression Analysis
Recent Advances in Quantile Regression Models
Exploring Isovist Fields
Quantile regression for longitudinal data
The relation between perceived sensory dimensions of urban green space and stress restoration
Stress recovery during exposure to natural and urban environments
Extracting spatial effects from machine learning model using local interpretation method
How does spatial structure affect psychological restoration? A method based on graph neural networks and street view imagery
How spatial patterns affect urban green space equity at different equity levels
Visible green space predicts emotion
Decoding vibrant neighborhoods
Psycho-physiological restoration with audio-visual interactions through virtual reality simulations of soundscape and landscape experiences in urban, waterfront, and green environments
Social inequalities in neighborhood visual walkability
Natural or balanced? The physiological and psychological benefits of window views with different proportions of sky, green space, and buildings
How does the visual environment influence pedestrian physiological stress? Evidence from high-density cities using ambulatory technology and spatial machine learning
Construction noise effects on human health
Emotional Responses to Multisensory Environmental Stimuli
Emotional Responses to the Visual Patterns of Urban Streets
When walking in nature is not restorative—The role of prospect and refuge
Emotionally‐vulnerable subjects and new inequalities
Emotions analysis in public spaces for urban planning
Extracting human perceptions from street view images for better assessing urban renewal potential
Crowding density in urban environment and its effects on emotional responding of pedestrians
Quantile Regression
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |