Print Email Facebook Twitter If you are late, everyone is late Title If you are late, everyone is late: late passenger arrival and ride-pooling systems' performance Author Kucharski, R.M. (TU Delft Transport and Planning) Fielbaum, Andres (TU Delft Learning & Autonomous Control) Alonso-Mora, J. (TU Delft Learning & Autonomous Control) Cats, O. (TU Delft Transport and Planning) Date 2020 Abstract Sharing rides in on-demand systems allow passengers to reduce their fares and service providers to increase revenue, though at the cost of adding uncertainty to the system. Notably, the uncertainty of ride-pooling systems stems not only from travel times but also from unique features of sharing, such as the dependency on other passengers' arrival time at their pick up points. In this work, we theoretically and experimentally analyse how late arrivals at pick up locations impact shared rides' performance. We find that the total delay is equally distributed among sharing passengers. However, delay composition gradually shifts from on-board delay only for the first passenger to waiting delay at the origin for the last passenger. Sadly, trips with more passengers are more adversely impacted. Strategic behaviour analysis reveals Nash equilibria that might emerge. We analyse the system-wide effects and find that when lateness increases passengers refrain from sharing and eventually opt-out. Subject mobility-on-demandreliabilityschedulingShared rides To reference this document use: http://resolver.tudelft.nl/uuid:fdcf330c-ee55-47c3-ac80-a14054648212 DOI https://doi.org/10.1080/23249935.2020.1829170 ISSN 2324-9935 Source Transportmetrica A: Transport Science, 17 (2021) (4), 1077-1100 Part of collection Institutional Repository Document type journal article Rights © 2020 R.M. Kucharski, Andres Fielbaum, J. Alonso-Mora, O. Cats Files PDF If_you_are_late_everyone_ ... rmance.pdf 3.26 MB Close viewer /islandora/object/uuid:fdcf330c-ee55-47c3-ac80-a14054648212/datastream/OBJ/view