Autonomous Vehicles as Viewed by Future Users in Poland

Sylwia Bęczkowska (), Andrzej Czerepicki, Iwona Grabarek, Maciej Kozłowski and Zuzanna Zysk
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Sylwia Bęczkowska: Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland
Andrzej Czerepicki: Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland
Iwona Grabarek: Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland
Maciej Kozłowski: Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland
Zuzanna Zysk: Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland

Sustainability, 2023, vol. 15, issue 24, 1-16

Abstract: The article discusses the issue of how potential users perceive automated and autonomous vehicle (AV) technology, emphasizing that its sophistication and reliability are crucial for the safety of driving vehicles with a level of automation starting from the third degree. Safety plays a significant role in determining public acceptance of autonomous vehicles. Without the acceptance of potential users and their willingness to use smart electric vehicles, it is challenging to talk about the rapid implementation of autonomous vehicles, despite their undeniable benefits. The article presents an analysis of survey results regarding public opinion in Poland on this matter. The survey utilized various methods, including CAWI surveys, Focus Group Interviews (FGI), and Individual In-depth Interviews (IDI). The CAWI survey involved 1067 respondents in Poland, with a 95% confidence level and a maximum margin of error of 3%, representing a representative sample of the Polish population aged 16 and above. The article examines issues that illustrate respondents’ acceptance levels concerning perceived security and trust in AVs. The obtained results are compared with opinions from surveys conducted in other countries. Additionally, the article attempts to identify reasons for the low assessment of the technologies among respondents and proposes measures to boost confidence in automated and autonomous vehicles.

Keywords: autonomous technologies; AVs; safety; user acceptance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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