In In this study, we set out to explore how various spatial patterns of travel demand drive the effectiveness of ride-pooling services. To do so, we generate a broad range of synthetic, yet plausible demand patterns. We experiment with the number of attraction centres, the dispersion of destinations around these centres, and the trip length distribution. We apply a strategic ride-pooling algorithm across the generated demand patterns to identify shareability potential using a series of metrics related to ridepooling. Our findings indicate that, under a fixed demand level, vehicle-hour reduction due to ride-pooling can range between 18 and 59%. These results depend on the concentration of travel destinations around the centre and the trip length distribution. Ride-pooling becomes more efficient when trips are longer and destinations are more concentrated. A shift from a monocentric to a polycentric demand pattern is found to have a limited impact on the prospects of ride-pooling.
The shareability potential of ride-pooling under alternative spatial demand patterns
TRANSPORTMETRICA A: TRANSPORT SCIENCE
J. SOZA-PARRA ET AL.
2024-05-03
23 pages
Article (Journal)
Electronic Resource
English
Topological properties of ride-pooling shareability graph as a proxy to key performance indicators
TIBKAT | 2022
|Optimising ride-sharing efficiency: innovative shareability-focused pricing strategies
Taylor & Francis Verlag | 2024
|Taylor & Francis Verlag | 2023
|