Study on the route choice of pedestrians from a station using commercial-based GPS

Abstract

Understanding pedestrian route choice is essential for current urban planning needs, such as the liveliness of urban central areas. However, pedestrian routes are not explored by existing PT surveys. In this study, a route choice model was applied using commercially available mobile GPS data. The pedestrian route choice analysis was applied using data at a certain city with the aim of identifying the factors that influence route choice. When the Cross Nested Logit model was applied, it was shown that routes with characteristics such as "short route length, many stores nearby, and few right/left turns" were more likely to be selected. Pedestrian route selection characteristics similar to existing studies using GPS data with an acquisition time interval of 1 second were obtained. It was suggested that it is possible to grasp the route with the accuracy that can obtain the walking characteristics even using commercially available GPS, and that it is possible to analyze pedestrian flow lines even if using commercially available GPS data.