Dannemiller, Katherine; Aupal Mondal; Katherine E. Asmussen; Chandra R. Bhat
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The University of Texas used a survey-based modeling approach to investigate the impacts of automated vehicles (AVs) on individual travel behavior. The research project uses a confirmatory factor analysis and multivariate regressions to predict five main outcomes. Using individual socio-demographics with built environment variables and psycho-social variables, AV impacts on five dimensions of short-term activity-travel choices are predicted: “(1) Additional local area trips generated, (2) Trip distance to shop or eat-out activities in the local area, (3) Trip distance to leisure activities in the local area, (4) Additional long distance road trips beyond the local area, and (5) Commute travel time”. The data collection for this study included an emerging mobility survey in the Austin metropolitan area in Texas in 2019. A total of 1,127 respondents participated in the survey.

Other Reference Number
Report No. 156
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Prepared by The University of Texas at Austin for USDOT
Result Type
Investigating Autonomous Vehicle Impacts on Individual Activity-Travel Behavior
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