Consumer acceptance and travel behavior : impacts of automated vehicles : final report.
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2016-01-01
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Edition:Final report
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Abstract:This study provides a glimpse into the not-too-distant future by asking people in the general ; population how they would respond to the availability of self-driving vehicles, which might be ; on Texas roadways within a few years. Some elements of the technology are already available in ; vehicles today. Self-parking, adaptive cruise control, and automated braking are all available ; currently. In the near future, vehicles might take over driving completely. ; Transportation planners, researchers, and policy makers have a keen interest in how the market ; for such vehicles will develop. The big promise is their ability to reduce traffic accidents. The ; optimistic view is that such vehicles could also create smoother traffic flow and unlock existing ; capacity on roadways, meaning less road building. This is because intelligent, self-driving ; vehicles may drive more safely and efficiently than human drivers. If a fleet of self-driving cars ; could come to people when needed, it would mean less personal car ownership and fewer ; parking lots. The safety and productivity gains would bring significant economic benefits, but ; the potential societal benefits will not be achieved unless these vehicles are accepted and used by ; a critical mass of drivers. Consumer demand and technological development will determine the ; pace and scale of market development. ; The advent of self-driving vehicles could be truly transformative, but future acceptance and use ; are highly uncertain. Car ownership could change—people might own more or fewer vehicles. ; Residential spatial patterns could change—more people might live farther from or closer to ; downtown. The number of vehicle miles traveled (VMT) could increase or decrease, depending ; on how, when, and why people use self-driving vehicles. Because self-driving vehicles are not ; yet present in the traffic streams, with the exception of a few test vehicles, it is difficult to ; reliably predict future consumer demand. Any purported outcomes are just theoretical at this ; point. Basic questions exist: ; - How likely are people to use self-driving vehicles? ; - What are the factors that influence acceptance and intent to use? ; - What is the appeal of self-driving vehicles for people? ; - In what ways would people change their current travel behavior because of access to self-driving ; vehicles? ; - How might self-driving vehicles on roadways impact traffic and congestion? ; Thus far, answers to these questions have come largely in the form of speculative future visions ; with little or no empirical evidence. This study begins to build an evidence base for ; transportation policy making and decision making. The information derives from an online ; survey and qualitative interviews with Austin metropolitan area residents in May and June 2015. ; The findings are representative of this sample only, which was a microcosm of Austin area ; residents.
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