Impact of Automated Mobility-On-Demand on Weekly Activity Patterns: A Study of Singapore

Karina Hermawan*, Ravi Seshadri, Takanori Sakai, P. Christopher Zegras, Moshe Ben-Akiva

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

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.
Original languageEnglish
Article number036119812210743
Book seriesTransportation Research Record
Volume2676
Issue number6
Number of pages13
ISSN0361-1981
DOIs
Publication statusPublished - 2022

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