- Understanding preferences for mobility-on-demand services through a context-aware survey and non-compensatory strategy
- Ride-pooling adoption, efficiency and level of service under alternative demand, behavioural and pricing settings
- An instance-based learning approach for evaluating the perception of ride-hailing waiting time variability