How does the built environment affect interest in the ownership and use of self-driving vehicles?

摘要: Abstract Connected and automated (self-driving) vehicles (CAVs AVs) will soon become a viable mode option, though their exact pattern of adoption use is expected to vary based on consumer interests concerns about the technology. Past work has shown rate at which AVs are implemented depends several factors, such as individual household demographics technology costs (Bansal Kockelman, 2017; Lee et al., Daziano 2017). This research analyzes another group attributes that help predict how people purchase AVs: land characteristics. Here, results two large-scale preference surveys used estimate characteristics impact Americans’ perceptions of, interest in, willingness pay for AV technology, while controlling demographic attributes. Both were conducted in 2017 together represented over 4000 U.S. households. Statistical models like ordered probit multinomial logit impacts AV-related behavior. Various variables arise significant depending question being asked respondents. For example, poor job accessibility via automobile associated with higher levels AVs, anticipated willingness-to-pay (WTP) self-driving capability, greater reliance some long-distance travel. provides metrics practical (and statistical) significance suite variables, relative common predictors, identify planners, engineers, policymakers, others where most rapid deployments occur first.