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

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 shared-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.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values.
  • Corporate Authors:

    Transportation Research Board

  • Authors:
    • Seshadri, Ravi
    • Kumarga, Lemuel
    • Atasoy, Bilge
    • Danaf, Mazen
    • Xie, Yifei
    • Azevedo, Carlos
    • Zhao, Fang
    • Zegras, Chris
    • Ben-Akiva, Moshe
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 19p

Subject/Index Terms

Filing Info

  • Accession Number: 01697606
  • Record Type: Publication
  • Report/Paper Numbers: 19-02589
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:32AM