Exploring factors influencing consumer preferences for automated driving vehicles

Abstract

Adopting automated driving vehicles (AVs) promises to transform transportation systems, yet understanding individual preferences is essential for effective implementation. This study uses decision tree analysis to investigate the factors influencing preferences for partially automated vehicles (AV3) and fully automated vehicles (AV5). Surveys were conducted in the Duhok-Kurdistan Region of Iraq to explore attitudes toward AV technology. Respondents selected their preferred option from AV3 and AV5, with various factors considered in the analysis, including age, gender, frequency of trips, and mobility concerns. Results revealed a preference for AV3, with trip frequency emerging as a key determinant. Older respondents tended towards AV3. The number of trips was the most significant determinant in their decision-making process, with individuals who frequently traveled showing a preference for fully automated AVs. Furthermore, understanding these preferences can inform strategies for promoting AV adoption and integration into transportation systems, shaping future mobility. The study's contributions lie in its localized focus and the identification of key factors influencing AV preferences in a specific region. This insight can assist in developing tailored strategies to promote AV adoption and address mobility challenges.

Keywords

• Autonomous vehicles
• Individual preferences
• Decision tree analysis