A user-conditioned deep learning model that combines sidewalk images with rater attributes predicts individual walkability ratings better than image-only models, and sidewalk imagery yields higher walkability scores than street-view imagery.
How does pedestrian accessibility vary for different people? Development of a perceived user-specific accessibility measure for walking (PAW),
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning
A user-conditioned deep learning model that combines sidewalk images with rater attributes predicts individual walkability ratings better than image-only models, and sidewalk imagery yields higher walkability scores than street-view imagery.