Journal article

On investigating the potential effects of private autonomous vehicle use on home/work relocations and commute times

MA Moore, PS Lavieri, FF Dias, CR Bhat

Transportation Research Part C: Emerging Technologies | Elsevier Inc. | Published : 2020

Abstract

The current study is motivated by the need to better understand the potential impacts that vehicular automation may have on individual decisions of residential and work relocation in a future autonomous vehicle (AV) scenario. The study employs a multivariate approach to model five behavioral dimensions simultaneously: (1) technology-savviness (TS) propensity, (2) interest in productive use of travel time (IPTT) propensity, (3) interest in work relocation, (4) interest in residential relocation, and (5) tolerance to an increase in commute travel time. Data from a web-based survey of commuters in 2017 in the Dallas-Fort Worth Metropolitan Area (DFW) is employed. The results show that both TS a..

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Grants

Awarded by U.S. Department of Transportation through the Data-Supported Transportation Operations and Planning (D-STOP)


Funding Acknowledgements

This research was partially supported by the U.S. Department of Transportation through the Data-Supported Transportation Operations and Planning (D-STOP) (Grant No. DTRT13GUTC58) Tier 1 University Transportation Center. The authors are grateful to Lisa Macias for her help in formatting this document. Two anonymous reviewers provided useful comments on an earlier version of this paper.