5 papers
Optimizing Ride-Pooling Revenue: Pricing Strategies and Driver-Traveller Dynamics
Usman Akhtar, Farnoud Ghasemi, Rafal Kucharski
Ride-pooling, to gain momentum, needs to be attractive for all the parties involved. This includes also drivers, who are naturally reluctant to serve pooled rides. This can be cont…
Ride Acceptance Behaviour Investigation of Ride-sourcing Drivers Through Agent-based Simulation
Farnoud Ghasemi, Peyman Ashkrof, Rafal Kucharski
Ride-sourcing platforms such as Uber and Lyft offer drivers (i.e., platform suppliers) considerable freedom of choice in multiple aspects. At the operational level, drivers can fre…
Dynamics of the Ride-Sourcing Market: A Coevolutionary Model of Competition between Two-Sided Mobility Platforms
Farnoud Ghasemi, Arkadiusz Drabicki, Rafał Kucharski
There is a fierce competition between two-sided mobility platforms (e.g., Uber and Lyft) fueled by massive subsidies, yet the underlying dynamics and interactions between the compe…
Ride-pooling service assessment with rational, heterogeneous, non-deterministic travellers
Michal Bujak, Rafal Kucharski
Ride-pooling remains a promising emerging mode with a potential to contribute towards urban sustainability and emission reductions. Recent studies revealed complexity and diversity…
Exploring Computational Complexity Of Ride-Pooling Problems
Usman Akhtar, Rafal Kucharski
Ride-pooling is computationally challenging. The number of feasible rides grows with the number of travelers and the degree (capacity of the vehicle to perform a pooled ride) and q…