| Spatiotemporal variability of ride-pooling potential–half a year New York City experiment O Shulika, M Bujak, F Ghasemi, R Kucharski Journal of Transport Geography 114, 103767, 2024 | 9 | 2024 |
| Network structures of urban ride-pooling problems and their properties M Bujak, R Kucharski Social Network Analysis and Mining 13 (1), 89, 2023 | 6 | 2023 |
| Ride-pooling service assessment with heterogeneous travellers in non-deterministic setting M Bujak, R Kucharski Transportation, 1-24, 2024 | 2 | 2024 |
| Exploring shareability networks of probabilistic ride-pooling problems M Bujak, R Kucharski arXiv preprint arXiv:2206.12259, 2022 | 1 | 2022 |
| Optimising Network Efficiency in the Epidemic Scenario M Proszewska, M Bujak, R Kucharski, J Tabor, M Smieja Available at SSRN 4976648, 0 | 1 | |
| Balancing Profit and Traveller Acceptance in Ride-Pooling Personalised Fares M Bujak, R Kucharski arXiv preprint arXiv:2411.03370, 2024 | | 2024 |
| Ride-pooling service assessment with rational, heterogeneous, non-deterministic travellers M Bujak, R Kucharski arXiv preprint arXiv:2307.10827, 2023 | | 2023 |
| Słaba zbieżność miar probabilistycznych M Bujak | | 2021 |
| Równoważność twierdzeń Königa i Halla M Bujak | | 2020 |
| Selecting the Most Promising Areas to Introduce Pooled Feeder Services When the Demand is Unknown: Case Study of Krakow, Poland O Shulika, H Vasiutina, M Bujak, F Ghasemi, R Kucharski Poland, 0 | | |
Rafał KucharskiJagiellonian University - Group of Machine Learning MethodsVerified email at uj.edu.pl
