Roundtrip, free-floating and peer-to-peer carsharing: A Bayesian behavioral analysis

This study analyses behavioral psychological facilitators and barriers to using different carshar-ing business models. It identifies the most preferable carsharing business models for different trip purposes as well as the main motivators for using it. Users of carsharing services (N = 1121) in German cities completed a questionnaire distributed by five operators representing three different business models: free-floating (FF), round-trip station-based (RTSB), and peer-to-peer (P2P). All analyses are performed from a Bayesian perspective and further discussion of the statistical analyses is included. The main results indicate that there are different preferences for carsharing business models depending on the trip purpose, with a trade-off between free-floating and round-trip station-based business models. The peer-to-peer business model stood out for short holiday trips. Age, educational level, and income affected the probability of selecting different carsharing operators. Users of FF and RTSB differ regarding driving habits and trust in the services.