People’s attitudes to autonomous vehicles

By John Hudson, Marta Orviská, J. Huňady. Transportation Research Part A: Policy and Practice, 2019

180 citations recorded by the source corpus.

We analyse people’s attitudes to autonomous vehicles (AVs), i.e. driverless cars and trucks, using Eurobarometer data relating to November/December 2014 on approximately 1000 people in each EU country. People tend to be lukewarm to AVs, particularly driverless cars. However, a simple average hides the fact that many people, young and old, are totally hostile to the concept and a smaller number totally in favour. AVs are part of a technological development linked in general to robots, and regression analysis finds attitudes tend to be linked to both general attitudes to robots and individual self-interest relating specifically to AVs. Consistent with the literature, we find the young to be more in favour than the elderly. There are other differences, with males, those in cities and the more educated being more in favour, as well as differences between countries. There is also some evidence that support for AVs is greater in countries with high accident rates.

Subfields: Automotive Engineering, Safety, Risk, Reliability and Quality, Social Psychology

View Paper: https://www.semanticscholar.org/paper/c8202b8ff3ce5227c2a6f62f8ebca4c519c23965

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Citations in the corpus

Factors influencing autonomous vehicle adoption: an application of the technology acceptance model and innovation diffusion theory (2020, background): “This ﬁ nding is inconsistent with previous studies, such as Hudson, Orviska, and Hunady (2019).”
Urban air mobility: A comprehensive review and comparative analysis with autonomous and electric ground transportation for informing future research (2021, background): “, see Dong, DiScenna, and Guerra, 2019; Hudson et al., 2019; Kopp et al., 2015; Liu, Guo, et al., 2019; Potoglou et al., 2020; Shabanpour, Golshani et al., 2018; Spurlock et al., 2019; Vij et al., 2020; Wang and Zhao, 2019). There are subtle differences across studies related to gender and income. F”
A multi-level model on automated vehicle acceptance (MAVA): a review-based study (2019, background): “Hudson, Orviska, and Hunady (2019) revealed that support for driverless cars was lower for those living in villages and small towns, and higher for city dwellers.”