Modeling pedestrian emotion in high-density cities using visual exposure and machine learning: Tracking real-time physiology and psychology in Hong Kong
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Title
Modeling pedestrian emotion in high-density cities using visual exposure and machine learning: Tracking real-time physiology and psychology in Hong Kong
Authors
Keywords
Ambulatory pedestrian emotion track, Environment perception, Street view, Isovist, Random forest, Deep learning
Journal
BUILDING AND ENVIRONMENT
Volume 205, Issue -, Pages 108273
Publisher
Elsevier BV
Online
2021-08-27
DOI
10.1016/j.buildenv.2021.108273
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