Exploring The Influence of Driver’s Presence on Passengers’ Willingness Level to Take Autonomous Taxis – Evidence from Seattle Metropolitan Area

Abstract

Abstract This study aims to identify the potential determinants of people's willingness to adopt autonomous vehicle (AV) taxis, with or without a backup driver, using Binary Logistic Regression in combination with the enhanced Random Forest attribute selection method. The results indicate that young men with frequent use of ride-sharing services, walk frequently, and have household incomes of approximately $150,000 - $200,000 are more likely to be interested in using AV taxis regardless of the presence of a backup driver. The study finds that previous travel habits (use of different modes) can greatly influence individuals' interest levels in using AV taxis. The study points AV taxi service providers should address female passengers' concerns to pursue a larger market. This study innovatively uses individuals’ preferences for their residential locations, such as proximity to the workplace, walkability, and affordability. Through the inclusion of these variables in the analysis, this study offers a more comprehensive insight into the potential users of AV taxis, thus enabling urban designers and planners to pursue a transportation system that is sustainable, equitable, and responsive to the diverse needs and preferences of different populations. The study has limitations in that it lacks users' perceived benefits and their specific needs pertaining to AVs. Finally, the study emphasizes the importance of examining the causes of inequality and promoting equitable access to AV technology, particularly for vulnerable groups.