Taking the same route every day? An empirical investigation of commuting route stability using personal electric vehicle trajectory data

Traffic congestion has caused great concern among policymakers in large cities around the world. In contrast with constantly increasing transport supply, individual-based active travel demand management (ATDM) has been proposed as a more efficient policy alternative for combating congestion. However, how individuals make routing choices during commuting in response to ATDM incentives is still largely unknown, given the lack of individual travel data. Using a desensitized one-week travel trajectory data set involving 5641 personal electric vehicles, we examine the major influencing factors of commuting route stability during working days and make suggestions on targeting the most responsive commuters. We first filter family-used vehicles by clustering vehicle usage patterns through employing the Gaussian mixture model and interpret drivers' route choice behaviors during morning peak hours. To look for factors affecting route stability, we develop a generalized additive model and find that route stability is significantly associated with road network density of origins and destinations, departure time, travel duration, commuting distance, reliability of the expressway, and volatility of the congested sections by which the routes passed. The empirical results may contribute to the understanding of individual route choices, and help urban managers develop more refined ATDM policies to alleviate traffic congestion in the future.

Automated summary

Traffic congestion is a major concern for policymakers in large cities worldwide. In order to combat congestion, individual-based active travel demand management (ATDM) has been proposed as a more efficient policy alternative. However, the factors influencing individuals' routing choices during commuting in response to ATDM incentives are still mostly unknown. By analyzing a desensitized one-week travel trajectory dataset of 5641 personal electric vehicles, this study identifies the major influencing factors of commuting route stability and provides suggestions for targeting responsive commuters. The findings contribute to the understanding of individual route choices and can help urban managers develop more refined ATDM policies to alleviate traffic congestion in the future.