Determinants of the Willingness to Use Autonomous Mobility as a Service in Germany

Abstract

Fully autonomous vehicles, once legally and technically feasible and widely available, have numerous advantages compared to human-driven vehicles, from greater availability and shorter travel times to lower negative environmental emissions and fewer accidents. This, combined with a usage-based form of payment, can massively increase the usage rate of vehicles without the need for high initial investments. This study explores the determinants affecting the willingness to adopt Autonomous Mobility as a Service (AMaaS) in Germany. Utilizing a mobile cross-sectional survey via Pollfish, 400 complete responses of German speakers aged 18 years or older in Germany were collected to assess influential factors. The survey data were analyzed using binary logistic regression analysis. Age, possession of a driving license, and the quality of public transport were identified as significant predictors. Younger people and driving license holders showed a higher willingness to use AMaaS, while low-quality public transport reduced their willingness to use it. This study concludes that targeted strategies for AMaaS implementation should consider these key demographic and infrastructural factors to maximize market penetration and acceptance in Germany.

Keywords

• autonomous mobility as a service
• mobile cross-sectional survey
• willingness to use
• binary logistic regression analysis