Under-Estimated Factors in the Adoption of Self-Driving Cars

Dalma Zilahy ()
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Dalma Zilahy: Obuda University, Doctoral School of Safety and Security Sciences, Budapest, Hungary

Interdisciplinary Description of Complex Systems - scientific journal, 2023, vol. 21, issue 2, 199-205

Abstract: Automated vehicle acceptance is needed to improve road safety, reduce congestion, reduce pollution and to meet a number of higher-level goals. To date, little is known about the factors that actually influence drivers’ acceptance or rejection of Self-Driving technology. Acceptance is critical to the widespread uptake of Self-Driving vehicles. This article focuses on the factors that have been underestimated in the adoption of Self-Driving cars. The article is organized as follows: in Section 1 the Introduction is given, in Section 2 Adoption models are presented, in Section 3 Social relationships, subjective norms, impact of cultural milieus are presented, in Section 4 The indirect impact of social media is presented, in Section 5 The interaction between social media, subjective norms and self-efficacy is presented, in Section 6 Future objectives are presented, Conclusions are given in Section 7.

Keywords: automated vehicle; road safety; adoption; self-driving cars; under-estimated factors (search for similar items in EconPapers)
JEL-codes: L92 Q55 (search for similar items in EconPapers)
Date: 2023
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