Stability of weekly active days using continuous revealed preference data

Abstract

This study uses one year of continuous tracking data to explore the stability of individuals’ travel behavior over extended periods. The primary objective is to develop a robust methodology for analyzing the stability of travel behavior using continuous tracking data. Specifically, the impact of sociodemographics and life events, such as employment changes, household relocation and childbirth, on weekly active days by purpose. Findings indicate that full-time workers exhibit the most stable patterns in weekly active days, while students display more significant variability, influenced by academic schedules. Life events, particularly changes in employment status, significantly affect travel behavior, with becoming unemployed or starting a job experiencing increased variability. Mobility restrictions also impact weekly active days, with restricted individuals showing reduced activity across all employment statuses. The study provides insights into the complexities of travel behavior stability, emphasizing the importance of considering socio-demographic factors and life events.