Abstract
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.
Original language | English |
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Article number | 2140022 |
Pages (from-to) | 1-23 |
Number of pages | 23 |
Journal | Transportmetrica A: Transport Science |
Volume | 20 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2022 |
Keywords
- Ride-hailing
- Ride-pooling
- Shared mobility
- Travel demand
- Shareability