The shareability potential of ride-pooling under alternative spatial demand patterns

J.A. Soza Parra, Rafal Kucharski, O. Cats

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
39 Downloads (Pure)


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 languageEnglish
Article number2140022
Pages (from-to)1-23
Number of pages23
JournalTransportmetrica A: Transport Science
Issue number2
Publication statusPublished - 2022


  • Ride-hailing
  • Ride-pooling
  • Shared mobility
  • Travel demand
  • Shareability


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