PEDSTRIAN-FLOW-SIMULATION USING COMMERCIAL GPS DATA FOR EVALUATING STREET SPACE IN STATION AREA

Abstract

“Walkable city”, which makes people feel comfortable and want to walk, is attracting urban planners as a means of regional revitalization for local communities, with low birthrate, aging population, and population outflow. In order to implement “Walkable City” it is essential to understand pedestrian behavior and evaluate measures based on pedestrian trajectory data. However, pedestrian trajectory surveys on the street cost so much, as a result their usage has been limited. Therefore, this study aims to construct a walking route choice model using commercially available GPS data, and to implement a simulation to evaluate the improvement of the pedestrian environment. As a result of empirical analysis using actual data, we found enough correlation between the simulation result and the actual pedestrian flow.