Factors Affecting the Acceptance of Autonomous Vehicle Technology: A Multiple Regression Analysis

Abstract

The acceptance of autonomous vehicle technology is a topic of growing interest and research. This study aims to identify the factors that influence the acceptance of autonomous vehicle technology using multiple regression analysis. The study collected data on safety concerns, cost, infrastructure, regulation, trust, human factors, technical limitations, and cultural factors from a sample of 500 individuals. The study found that all of these variables were significant predictors of the acceptance of autonomous vehicle technology in the multiple regression analysis. Specifically, safety concerns, cost, and trust were found to have the strongest impact on the acceptance of autonomous vehicle technology. These findings have important implications for policymakers, industry practitioners, and researchers interested in promoting the widespread acceptance of autonomous vehicle technology. By understanding the factors that influence acceptance, stakeholders can develop effective strategies to overcome barriers to acceptance and accelerate the transition to a future with autonomous vehicles. The findings of this study provide important insights into the complex interplay of factors that affect the acceptance of autonomous vehicle technology. The study contributes to the existing literature on this topic by using a comprehensive approach that considers a wide range of factors. The results suggest that promoting the safety and reliability of autonomous vehicles, addressing cost concerns, and building trust among the public are key priorities for stakeholders interested in accelerating the acceptance of this technology. Additionally, the study highlights the need for continued research and development to address technical limitations and overcome cultural barriers that may impede acceptance. Overall, this study underscores the importance of a multidisciplinary approach to understanding and promoting the acceptance of autonomous vehicle technology.