Deep learning-based behavioral pattern extraction from transit station videos modeling structural gender differences using CNN and Vision Transformers
Urban transit stations are among the most behaviorally complex environments in public transport systems, yet planners still lack scalable methods for converting continuous video observations into interpretable, planning-relevant behavioral evidence. Existing transportation research relies heavily on surveys and self-re...