Autonomous Taxi Adoption: A Real-World Analysis
Analysis
Key Takeaways
- •The study uses real-world data from Baidu's Apollo Robotaxi service in Wuhan, China.
- •Structural Equation Modeling (SEM) is used to analyze survey data.
- •Key factors influencing adoption include Cost Sensitivity and Behavioral Intention.
- •Findings provide empirical evidence for policymaking, fare design, and public outreach.
“Cost Sensitivity and Behavioral Intention are the strongest positive predictors of adoption.”