Autonomous vehicle implementation predictions: Implications for transport planning
The future is ultimately unknowable but planning requires predicting impending conditions and needs. Many decision-makers and practitioners (planners, engineers and analysts) wonder how autonomous (also called self-driving or robotic) vehicles will affect future travel demands, and therefore the need for roads, parking facilities and public transit services, and what public policies can minimize their risks and maximize their benefits (APA 2016; Berrada and Leurent 2017; Grush and Niles 2018; Guerra 2015; Kockelman and Boyles 2018; Larco 2022; Milakis, van Arem and van Wee 2017; Shaheen, Totte and Stocker 2018; Sperling 2017).