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Title: Modeling Individuals’ Willingness to Share Trips with Strangers in an Autonomous Vehicle Future
Accession Number: 01697417
Record Type: Component
Abstract: With the era of autonomous vehicles quickly approaching, dynamic ridesharing services could have an important role in increasing vehicle occupancy, reducing vehicle miles traveled, and improving traffic conditions. However, the extent to which these potentials can be achieved depends on consumers’ disposition to sharing rides. From a travel behavior perspective, two essential elements to the adoption of shared rides are individuals’ acceptance of increased travel times associated with pick-up/drop-off of other passengers and their approval of strangers sharing the same vehicle. The current study develops the notion of willingness to share (WTS), which represents the money value attributed by an individual to traveling alone compared to riding with strangers, to investigate the adoption of shared rides. Using a multivariate integrated choice and latent variable approach, the authors examine current choices and future intentions regarding the use of shared rides and estimate individuals’ WTS as well as their values of travel time for two distinct trip purposes. Results show that users are less sensitive to the presence of strangers when in a commute trip compared to a leisure-activity trip. The authors also observe that the travel time added to the trip to serve other passengers may be a greater barrier to the use of shared services compared to the presence of a stranger. However, the potential to use travel time productively may help overcome this barrier especially for high-income individuals.
Supplemental Notes: This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.
Report/Paper Numbers: 19-01775
Language: English
Corporate Authors: Transportation Research BoardAuthors: Pagination: 6p
Publication Date: 2019
Conference:
Transportation Research Board 98th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Highways; Passenger Transportation; Planning and Forecasting; Public Transportation
Source Data: Transportation Research Board Annual Meeting 2019 Paper #19-01775
Files: TRIS, TRB, ATRI
Created Date: Dec 7 2018 9:27AM
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