THE ROLE OF DEMOGRAPHIC AND ECONOMIC VARIABLES IN PERCEPTIONS TOWARDS AUTONOMOUS CARS
Abstract
This study examines the socio-demographic and economic factors that affect consumers’ perceptions and usage intentions toward autonomous vehicles. The effects of variables such as age, gender, marital status, education level, and vehicle ownership on consumer attitudes were analysed. The results show that younger individuals, 34 years and under, have a more positive and innovative attitude towards autonomous vehicles. In contrast, men have a higher intention to use autonomous vehicles in the future than women. Regarding marital status, it was found that single individuals have higher perceptions of innovativeness and anthropomorphism than married individuals. While vehicle ownership creates a difference in the perception of innovativeness, income level did not significantly affect perceptions. In terms of education level, individuals with lower education levels have higher perceptions of anthropomorphism and positive attitudes. The study emphasizes that demographic factors such as age and education should be focused on to increase the adoption of autonomous vehicles.
Keywords
References
- Asadi-Shekari, Z., Saadi, I., & Cools, M. (2022). Applying machine learning to explore feelings about sharing the road with autonomous vehicles as a bicyclist or as a pedestrian. Sustainability, 14(3), 1898. https://doi.org/10.3390/su14031898
- Baccarella, C., Wagner, T., Scheiner, C., Maier, L., & Voigt, K. (2020). Investigating consumer acceptance of autonomous technologies: the case of self-driving automobiles. European Journal of Innovation Management, 24(4), 1210-1232. https://doi.org/10.1108/ejim-09-2019-0245
- Bilici, F. (2024). Tüketim Psikolojisi ve Pazarlama: Güncel Trendler. Bursa: Ekin Yayınevi.
- Bilici, F., & Türkoğlu, İ. K. (2024). Autonomous Vehicle Technology and Technology Acceptance: The Role of Technological Readiness on Consumers' Attitudes Towards Driverless Cars and Intention to Use in the Future. Fırat Üniversitesi Mühendislik Bilimleri Dergisi, 36(1), 383-407.
- Burgos-Benavides, L. (2023). Instruments of child-to-parent violence: systematic review and meta-analysis. Healthcare, 11(24), 3192. https://doi.org/10.3390/healthcare11243192
- Burns, C., Oliveira, L., Thomas, P., Iyer, S., & Birrell, S. (2019). Pedestrian decision-making responses to external human-machine interface designs for autonomous vehicles. https://doi.org/10.1109/ivs.2019.8814030
- Coppock, A. and McClellan, O. (2019). Validating the demographic, political, psychological, and experimental results obtained from a new source of online survey respondents. Research & Politics, 6(1). https://doi.org/10.1177/2053168018822174
- Dixit, A., Kumar, C., & Allam, Z. (2021). Safety and risk analysis of autonomous vehicles using computer vision and neural networks. Vehicles, 3(3), 595-617. https://doi.org/10.3390/vehicles3030036
Details
Primary Language
English
Subjects
Automotive Engineering (Other)
Journal Section
Research Article
Authors
Fatih Bilici
0000-0003-4803-0463
Türkiye
Publication Date
August 4, 2026
Submission Date
December 11, 2025
Acceptance Date
May 14, 2026
Published in Issue
Year 2026 Volume: 31 Number: 2