Understanding walking route choice preferences and pedestrian network flows: From individual trajectories to city-scale patterns using empirical data from Sydney

This study investigates the influence of built environment factors on pedestrian route choices in an urban context using passively collected mobile phone trajectory data from Sydney, Australia. We estimate and compare multiple discrete choice models including C-Logit, Path Size Logit (PSL), and Error Component (EC) models to quantify associations between pedestrian route choices and route characteristics such as distance, slope, turns, crossings, amenities, and greenery. The models are applied t