Shared Autonomous Vehicles Competing with Shared Electric Bicycles: A Stated-Preference Analysis

Understanding the factors that affect uptake of emerging transport modes is critical for understanding if and how they will be used once are implemented. In this study, we undertook a stated-preference analysis to understand use shared autonomous vehicles personal mobility (micromobility) as competing on university campus in Korea. We applied binary logit model, which included time cost variables well perceptions convenience (in-car congestion availability) safety. For vehicles, cost- time-related demand elasticities were estimated −0.45 −0.25, respectively, while elasticity electric bicycles was −0.42. The perceived (availability) safety bicycle system 0.72 0.29, respectively. Finally, congestion) vehicle 0.42. Our results show there an innate preference when these compared mobility, effect subjective (convenience safety) important traditional variables.