Assessing Public Opinions of and Interest in New Vehicle Technologies: An Austin Perspective

By Prateek Bansal, Kara M. Kockelman, Amit Singh. 2016

948 citations recorded by the source corpus.

Subfields: Automotive Engineering, Economics and Econometrics, Transportation

View Paper: https://www.semanticscholar.org/paper/a704d9ab2a2b433abda33afe76100e618e62e367

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

In Economics and Econometrics

In Transportation

Citations in the corpus

Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks (2018, background): “AVs ’ performance could improve over time with real-world driving experience, but this is only possible if the public accepts the technology (Bansal, Kockelman, & Singh, 2016; Kalra, 2017).”
Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound (2019, background): “, unoccupied VMT) [47,48], and the possibility of shifts in mode choice and urban sprawl [4,35,49].”
Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles (2017, background): “A paper related to our own is that by Bansal et al. (2016), which estimates willingness to pay for different levels of automation.”
Are we ready to embrace connected and self-driving vehicles? A case study of Texans (2016, methodology): “Many researchers (e.g., Casley et al. 2013; Howard and Dai 2013; Schoettle and Sivak 2014, 2015, Kyriakidis et al. 2015; Haboucha et al. 2015; Krueger et al. 2016; Bansal et al. 2016), private firms (Accenture Research 2011; Cisco Systems 2013; Ipsos MORI 2014; Power 2015); Continental (Sommer 2013;”
Acceptance of Driverless Vehicles: Results from a Large Cross-National Questionnaire Study (2018, background): “It has also been found that people with a higher income are willing to pay more for vehicles equipped with automated driving features [8, 13].”