Assessing public opinions of and interest in new vehicle technologies: An Austin perspective

P Bansal, KM Kockelman, A Singh - Transportation Research Part C …, 2016 - Elsevier
Transportation Research Part C: Emerging Technologies, 2016Elsevier
Technological advances are bringing connected and autonomous vehicles (CAVs) to the
ever-evolving transportation system. Anticipating public acceptance and adoption of these
technologies is important. A recent internet-based survey polled 347 Austinites to
understand their opinions on smart-car technologies and strategies. Results indicate that
respondents perceive fewer crashes to be the primary benefit of autonomous vehicles (AVs),
with equipment failure being their top concern. Their average willingness to pay (WTP) for …
Abstract
Technological advances are bringing connected and autonomous vehicles (CAVs) to the ever-evolving transportation system. Anticipating public acceptance and adoption of these technologies is important. A recent internet-based survey polled 347 Austinites to understand their opinions on smart-car technologies and strategies. Results indicate that respondents perceive fewer crashes to be the primary benefit of autonomous vehicles (AVs), with equipment failure being their top concern. Their average willingness to pay (WTP) for adding full (Level 4) automation ($7253) appears to be much higher than that for adding partial (Level 3) automation ($3300) to their current vehicles.
Ordered probit and other model specifications estimate the impact of demographics, built-environment variables, and travel characteristics on Austinites’ WTP for adding various automation technologies and connectivity to their current and coming vehicles. It also estimates adoption rates of shared autonomous vehicles (SAVs) under different pricing scenarios ($1, $2, and $3 per mile), choice dependence on friends’ and neighbors’ adoption rates, and home-location decisions after AVs and SAVs become a common mode of transport. Higher-income, technology-savvy males, who live in urban areas, and those who have experienced more crashes have a greater interest in and higher WTP for the new technologies, with less dependence on others’ adoption rates. Such behavioral models are useful to simulate long-term adoption of CAV technologies under different vehicle pricing and demographic scenarios. These results can be used to develop smarter transportation systems for more efficient and sustainable travel.
Elsevier
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