01835988

Component

https://doi.org/10.1177/03611981221074376

The use of on-demand ride services has continued to grow rapidly in recent years. At some point, given current technologies of automation, it is plausible that these rides will be driverless, termed automated mobility-on-demand (AMoD). This research examines how eager people are to adopt AMoD ride services and whether they will change their travel behaviors and activity patterns when these services are available. We use data from the first ever activity-based stated preferences (SP) survey and estimate an ordered logit model to answer these questions. We demonstrate the capability of the unique SP survey data in capturing preferences toward an emerging transportation mode by considering the utilities of week-level activities and trips as functions of activity duration, scheduling preferences, travel disutility, and sociodemographic variables. Our key findings suggest that people do display a propensity to use the new AMoD services, but this propensity falls as more travel is undertaken with AMoD. Moreover, those who are likely to use AMoD tend to be car-less, young, and frequent users of ride-hailing services. They would typically use AMoD to perform additional leisure, personal, and meal activities, which may increase travel and travel costs. The model and results have important policy implications and applications.

Karina Hermawan https://orcid.org/0000-0003-4967-6143 © National Academy of Sciences: Transportation Research Board 2022.

English

0000-0003-4967-6143

0000-0002-9327-9455

0000-0002-8426-7452

0000-0002-9635-9987

pp 340-352

2022-6

Transportation Research Record: Journal of the Transportation Research Board

Web

References (35)

Activity choices; Autonomous vehicles; Demand responsive transportation; Mobility; Ridesourcing; Stated preferences; Travel behavior

Singapore

Highways; Planning and Forecasting; Public Transportation

TRIS, TRB, ATRI

Feb 14 2022 8:28AM