A socio-technical model of autonomous vehicle adoption using ranked choice stated preference data

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dc.contributor.advisorBhat, Chandra R. (Chandrasekhar R.), 1964-
dc.creatorAsmussen, Katherine Elizabeth
dc.creator.orcid0000-0002-5615-0708
dc.date.accessioned2021-06-10T15:55:03Z
dc.date.available2021-06-10T15:55:03Z
dc.date.created2020-12
dc.date.issued2021-03-14
dc.date.submittedDecember 2020
dc.date.updated2021-06-10T15:55:04Z
dc.description.abstractUnderstanding the “if” and “when” of autonomous vehicle (AV) adoption is of clear interest to car manufacturers in their positioning of business processes, but also to transportation planners and traffic engineers. In this thesis, we examine the individual-level AV adoption and timing process, considering the psycho-social factors of driving control, mobility control, safety concerns, and tech-savviness. A ranked choice stated preference design is used to elicit responses from Austin area residents regarding AV adoption. Our results underscore the need to examine the adoption of technology through a psycho-social lens. In particular, technology developments and design should not be divorced from careful investigations of habits and consumption motivations of different groups of individuals in the population. The findings from our analysis are translated to specific policy actions to promote AV adoption and accelerate the adoption time frame.
dc.description.departmentCivil, Architectural, and Environmental Engineering
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2152/86420
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/13371
dc.language.isoen
dc.subjectSocio-technical model
dc.subjectAutonomous vehicles
dc.subjectRanked choice
dc.subjectPsycho-social variables
dc.subjectMultivariate analysis
dc.titleA socio-technical model of autonomous vehicle adoption using ranked choice stated preference data
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentCivil, Architectural, and Environmental Engineering
thesis.degree.disciplineCivil Engineering
thesis.degree.grantorThe University of Texas at Austin
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Engineering

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