Even as ride-hailing has become ubiquitous in most urban areas, its impacts on individual travel are still unclear. This includes limited knowledge of demand characteristics (especially for pooled rides), travel modes being substituted, types of activities being accessed, as well as possible trip induction effects. The current study contributes to this knowledge gap by investigating ridehailing experience, frequency, and trip characteristics through two multi-dimensional models estimated using data from the Dallas-Fort Worth Metropolitan Area. Ride-hailing adoption and usage are modeled as functions of unobserved lifestyle stochastic latent constructs, observed transportation-related choices, and sociodemographic variables. The results point to low residential location density and people’s privacy concerns as the main deterrents to pooled ridehailing adoption, with non-Hispanic Whites being more privacy sensitive than individuals of other ethnicities.

Key findings



Results suggest a need for policies that discourage the substitution of short-distance “walkable” trips by ride-hailing, and a need for low cost and well-integrated multi-modal systems to avoid substitution of transit trips by this mode.



High income is also among the strongest determinants of frequent ride-hailing usage, which suggests the need for qualitative research (such as focus groups) to identify how individuals may be steered toward being less sensitive to the presence of strangers in a ride-hailing trip.



The development of multi-modal apps needs to be especially careful to avoid the proliferation of unintended behaviors (such as the reduction of active travel/transit ridership and the generation of new car-based trips).



View



View PDF



Behind a hard paywall (paid accounts only)



Behind a soft paywall (limited views allowed until a paid account is required)