Incentive-driven transition to high ride-sharing adoption
arXiv:2008.11079 · doi:10.1038/s41467-021-23287-6
Abstract
Ride-sharing - the combination of multiple trips into one - may substantially contribute towards sustainable urban mobility. It is most efficient at high demand locations with many similar trip requests. However, here we reveal that people's willingness to share rides does not follow this trend. Modeling the fundamental incentives underlying individual ride-sharing decisions, we find two opposing adoption regimes, one with constant and another one with decreasing adoption as demand increases. In the high demand limit, the transition between these regimes becomes discontinuous, switching abruptly from low to high ride-sharing adoption. Analyzing over 360 million ride requests in New York City and Chicago illustrates that both regimes coexist across the cities, consistent with our model predictions. These results suggest that even a moderate increase in the financial incentives may have a disproportionately large effect on the ride-sharing adoption of individual user groups.
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- Collective dynamics of capacity-constrained ride-pooling fleets
- Planning ride-pooling services with detour restrictions for spatially heterogeneous demand: A multi-zone queuing network approach
- Spontaneous symmetry breaking in ride-sharing adoption dynamics
- Phase separation induces congestion waves in electric vehicle charging
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