Abstract
California set ambitious goals for decarbonizing the transportation sector, including reducing the amount of per capita vehicle travel. This may mean shifting more travel to other modes of travel, such as ride-hailing (i.e., on-demand services such as Uber, Lyft, and taxis) and public transit. To better understand different types of non-automobile travelers, the research team examined the connections between the tour-based travel patterns of public transit and ride-hailing users and their household activities. The team’s analysis used an activity-based approach that considers daily travel patterns using tours and activity patterns as basic units of analysis. The researchers identified different subgroups or “classes” of riders based on the type of trips taken and modes used and then analyzed the socio-demographic composition of each class. All tours considered in the team’s study start and end at home, with at least one trip by ride-hail or transit. Additionally, tours were classified as work or non-work trips, and complex or simple trips.
