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Title:

Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey

Accession Number:

01697944

Record Type:

Component

Abstract:

This paper aims to advance the understanding of the potential impacts of CAVs on trade-offs between key travel- and lifestyle-related variables by investigating preferences for combinations of housing and travel options for the commute. To this end, a stated preference survey among residents of the Sydney metropolitan area in Australia was conducted. The survey featured a stated choice experiment, which required respondents to jointly choose a housing option and a mobility tool for the commute. The choice set of mobility tools included the alternatives conventional car, self-driving car and public transport. In multiple scenarios, attributes such as housing costs, commute times and commute cost were manipulated. For the analysis of the stated choice data, a variety of mixed multinomial logit models are estimated. The estimated models include a mixed multinomial logit model with a multivariate normal mixing distribution, a latent class multinomial logit model and a mixtures-of-normals multinomial logit model. By and large, the estimation results do not suggest any substantial differences in the implicit values of travel time by each of the considered mobility options.

Supplemental Notes:

This paper was sponsored by TRB committee ADD30 Standing Committee on Transportation and Land Development.

Report/Paper Numbers:

19-04915

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Krueger, Rico
Rashidi, Taha H
Dixit, Vinayak V

Pagination:

5p

Publication Date:

2019

Conference:

Transportation Research Board 98th Annual Meeting

Location: Washington DC, United States
Date: 2019-1-13 to 2019-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

References

Geographic Terms:

Subject Areas:

Highways; Society; Vehicles and Equipment

Source Data:

Transportation Research Board Annual Meeting 2019 Paper #19-04915

Files:

TRIS, TRB, ATRI

Created Date:

Dec 7 2018 9:42AM