Understanding Preferences for Automated Mobility on Demand Using a Smartphone-Based Stated Preference Survey: A Case Study of Singapore

Ravi Seshadri, Lemuel Kumarga, Bilge Atasoy, Mazen Danaf, Yifei Xie, Carlos Lima Azevedo, Fang Zhao, Chris Zegras, Moshe E. Ben-Akiva

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

The urban mobility landscape is witnessing widespread changes with the emergence of several disruptive technologies including mobility-as-a-service and automated vehicles. The convergence of these two developments in the form of automated mobility-on-demand (AMoD) services (i.e., a system of shared driverless taxis) is receiving growing interest from industry, governments and researchers worldwide as a promising solution to meet mobility needs in the future in a sustainable manner. However, there is a large degree of uncertainty surrounding the potential adoption of these systems, and their impact on individual travel/activity patterns and the transportation system as a whole. In this context, this paper attempts to gain insights into behavioral preferences and attitudes towards AMoD through a novel context-aware app-based stated preferences survey conducted in Singapore. The SP survey leverages a state-of-the-art smartphone-based platform (Future Mobility Sensing) and its ability to collect revealed preference (RP) and contextual data. Logit mixture models accounting for inter-person heterogeneity and panel effects were estimated on a sample of 2500 observations from 350 respondents. The results indicate the presence of heterogeneity in the valuation of in-vehicle travel time and out-of-vehicle travel time and significant differences across demographic categories. An analysis of price elasticity of demand for AMoD indicates a higher elasticity for AMoD taxi followed by AMoD shared19 taxi and AMOD mini-bus. The importance of modeling inertia in switching from the currently used mode is also highlighted. The results have important policy implications and the models have applications within detailed activity-based microsimulation models to examine the impact of AMoD in future scenarios.
Original languageEnglish
Title of host publicationThe Transportation Research Board (TRB) 98th Annual Meeting, 2019
PublisherTransportation Research Board (TRB)
Number of pages19
Publication statusPublished - 2019
EventTransportation Research Board 98th Annual Meeting - Walter E. Washington Convention Center, Washington D.C., United States
Duration: 13 Jan 201917 Jan 2019

Conference

ConferenceTransportation Research Board 98th Annual Meeting
Abbreviated titleTRB 2019
CountryUnited States
CityWashington D.C.
Period13/01/1917/01/19

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    Seshadri, R., Kumarga, L., Atasoy, B., Danaf, M., Xie, Y., Azevedo, C. L., Zhao, F., Zegras, C., & Ben-Akiva, M. E. (2019). Understanding Preferences for Automated Mobility on Demand Using a Smartphone-Based Stated Preference Survey: A Case Study of Singapore. In The Transportation Research Board (TRB) 98th Annual Meeting, 2019 [19-02589] Transportation Research Board (TRB).