Data for project: A quantitative investigation into the impact of partially automated vehicles on vehicle miles travelled in California

We investigate travel changes in partially automated electric vehicles.
Partial automation can control vehicle speed and steering using sensors
that monitor the external environment. We use survey results from survey
responses including 940 users of partial automation, including 628 who
have Tesla Autopilot and 312 with systems from other automakers. Autopilot
users report using automation more than users of other partial automation
systems. Autopilot has the largest impact on travel, notably 36% of
Autopilot users reporting more long-distance travel. Respondents who are
younger, have a lower household income, use automation in a greater
variety of traffic, roads, and weather conditions, and those who have
pro-technology attitudes and outdoor lifestyles are more likely to report
doing more long-distance travel. We use propensity score matching to
investigate whether automation causes any increase in respondents’ annual
vehicle miles travelled. For simplicity, we focus only on the impact of
Tesla Autopilot and find that automation causes an increase of 4888 more
miles driven per year.