.png){kind=icon}
.png){kind=icon}
Return
A multimodal human-centered framework for assessing pedestrian well-being in the wild
.png){kind=icon}
OA
AI
Y
A
DOI：10.1016/j.urbmob.2026.100255.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A human-centered multimodal framework is introduced to assess pedestrian well-being. • A naturalistic case study in the Greater Philadelphia region is presented. • Physiological arousal exhibit spatially localized patterns associated with context. • Results suggest conventional walkability indices may overlook pedestrian experience.
Keywords:
Human-centered
Walkability
Psychophysiology
Pedestrian
Biosignal
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.1
Papers:
165
Citations:
416
Organization
No organization information available