Investigating the preferences between shared and non-shared ride-hailing services across user groups

We investigate the effects of travel duration and trip costs on mode choice between shared (e.g., Uber) and nonshared (e.g., the former Uber Pool) ride-hailing services. Using the City of Chicago as a case study, we employ a novel method by linking individual characteristics from the Chicago region's household travel survey to trip characteristics from the City of Chicago's ride-hailing trip data between November 2018 and December 2019. The findings from a binomial logit analysis and a latent class multinomial logit analysis indicate that travel duration and trip costs might not be the determinants for mode choice between shared and non-shared ridehailing services. Under the current fare structure, some passengers might prefer one mode over the other regardless of the cost and time difference between the two types of services, while some might consider the differences in time and cost between the two modes not significant enough for switching mode. Our method allows us to investigate mode choice for the shared and non-shared ride-hailing services without relying on skim tables from regional travel models or stated preference surveys.