Projects per year
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.
|Number of pages||24|
|Journal||Transportmetrica A: Transport Science|
|Publication status||Published - 2020|
- Shared rides
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- 1 Active
CriticalMaaS: Concepts, theories and models for planning , operating and evaluating the dynamics of Mobility as a Service
Cats, O., van Oort, N., van Lint, J. W. C., van Arem, B., Hoogendoorn, S. P., Homem de Almeida Correia, G., Yap, M. D., Geržinic, N., Ashkrof, P., Dubey, S. K., Kucharski, R. M. & de Ruijter, A. J. F.
1/01/19 → 31/12/23