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Title: Can Autonomous Vehicles Reduce Car Mobility? Evidence from a Stated Adaptation Experiment in Belgium
Accession Number: 01629645
Record Type: Component
Abstract: From literature, it is clear that the discussion about the potential benefits and drawbacks of autonomous vehicles is not finished. In order to provide insight into this discussion, this paper investigates different attitudes with respect to different key factors for the deployment of system of autonomous taxis. To this end, a stated adaptation experiment was carried out in Belgium in March 2016. To investigate which factors influence the variables of interest, i.e. (i) the number of minutes one is prepared to wait before an autonomous taxi picks up the person, (ii) the ownership of a private car when autonomous taxis are available, (iii) the willingness to share an autonomous taxi, (iv) the permittance for the autonomous vehicle to take a detour when it is beneficial for the society, and (v) the willingness to share your private agenda to ensure a timely autonomous taxi, different regression models are constructed. The results show that the considered explanatory factors only capture a small part of the variability of the five variables of interest. This is as signal that market segmentation might be very challenging. Besides, this is an indication that a broader range of factors should be included such as life-style factors and psychological constructs. Finally, this acknowledges the need for some skepticism with regard to the potential benefits of autonomous vehicles. The results are interesting for providing realistic boundaries and cross-classification in further simulation studies that look at the benefits of autonomous vehicles.
Supplemental Notes: This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-06847
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Cools, MarioRongy, CarolineLimbourg, SabinePagination: 13p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: References; Tables
TRT Terms: Geographic Terms: Subject Areas: Highways; Planning and Forecasting; Public Transportation
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-06847
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 12:49PM
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