SCALING RULES OF VISIT FREQUENCY USING GPS TRAJECTORY DATA OF CAR TRAVEL

Abstract

Long-term GPS trajectory data of car travel can clarify the scaling rules of visit frequency by space and by time, but they have received little attention in past studies. This study first analyzes the influences of spatial accuracy and observation duration of car travel trajectories on the distributions of visit frequency. Then, how consistent the distributions can be with the behavioral model of individual travel following the Pareto distribution of visit frequency is examined. Finally, the implication of the analytical results to transport policy for modal shift is discussed. The findings will contribute to the design of transport policies considering the large volume of low-frequent trips.