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Consumer Perception and Anticipated Adoption of Autonomous Vehicle Technology: Results from Multi-Population Surveys
Graduate Theses and Dissertations
  • Nikhil Menon, University of South Florida
Date Approved
Graduation Year
Document Type
Degree Name
MS in Civil Engineering (M.S.C.E.)
Degree Granting Department
Civil and Environmental Engineering
Major Professor
Yu Zhang, Ph.D.
Co-Major Professor
Abdul Pinjari, Ph.D.
Committee Member
Pei-Sung Lin, Ph.D.
  • Ordered Logit,
  • Driverless,
  • University Survey,
  • Public Opinion,
  • AV

Emerging automotive and transportation technologies, such as autonomous vehicles (AVs) have created revolutionary possibilities in the way we might travel in the future. Major car manufacturers and technology giants have demonstrated significant progress in advancing and testing AV technologies in real-life traffic conditions.

Results from multi-population surveys indicate that despite enjoying moderate familiarity with AVs, more than 40% of the respondents were likely to use them when they become available. Simply looking at the demographic differences without paying any regard to the perceptions might suggest that the demographic differences are the primary causal factors behind the differences observed in the intended adoption of AVs. This study investigates the role of demographics and other factors (current travel characteristics, crash history and familiarity with AVs) on consumers’ perceptions and intended adoption of AVs with a view of disentangling one factor from the other. Results show that the observed demographic differences in intended adoption rates are due to demographic differences in the perceptions on the benefits and concerns of AVs.

The study outcomes suggest that it may be beneficial to first address consumers’ perceptions on the benefits and concerns regarding AVs. The results from this study can be used to inform modeling decisions and policy discussions relevant to future market penetration of AV technology.

Citation Information
Nikhil Menon. "Consumer Perception and Anticipated Adoption of Autonomous Vehicle Technology: Results from Multi-Population Surveys" (2015)
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