The Impact of Social Influence, Technophobia, and Perceived Safety on Autonomous Vehicle Technology Adoption

• Published in: Periodica polytechnica. Transportation engineering Vol. 48; no. 2; pp. 133 - 142
• Main Authors: Koul, Sahil, Eydgahi, Ali
• Format: Journal Article
• Language: English
• Published: Budapest Periodica Polytechnica, Budapest University of Technology and Economics 01.04.2020
• Subjects: Accidents; Automobiles; Autonomous vehicles; Correlation analysis; Data analysis; Data collection; Impact strength; Regression analysis; Safety; Technology adoption; Technology utilization; Technophobia
• ISSN: 0303-7800; 1587-3811
• DOI: 10.3311/PPtr.11332

The objective of this study was to determine whether there was a relationship between social influence, technophobia, perceived safety of autonomous vehicle technology, number of automobile-related accidents and the intention to use autonomous vehicles. The methodology was a descriptive, cross-sectional, correlational study. Theory of Planned Behavior provided the underlying theoretical framework. An online survey was the primary method of data collection. Pearson’s correlation and multiple linear regression were used for data analysis. This study found that both social influence and perceived safety of autonomous vehicle technology had significant, positive relationships with the intention to use autonomous vehicles. Additionally, a significant negative relationship was found among technophobia and intention to use autonomous vehicles. However, no relationship was found between the number of automobile-related accidents and intention to use autonomous vehicles. This study presents several original and significant findings as a contribution to the literature on autonomous vehicle technology adoption and proposes new dimensions of future research within this emerging field.