Scaling Law of Urban Ride Sharing
Author(s)Tachet des Combes, Remi; Sagarra Pascual, Oleguer J.; Santi, Paolo; Szell, Michael; Ratti, Carlo
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Sharing rides could drastically improve the efficiency of car and taxi transportation. Unleashing such potential, however, requires understanding how urban parameters affect the fraction of individual trips that can be shared, a quantity that we call shareability. Using data on millions of taxi trips in New York City, San Francisco, Singapore, and Vienna, we compute the shareability curves for each city, and find that a natural rescaling collapses them onto a single, universal curve. We explain this scaling law theoretically with a simple model that predicts the potential for ride sharing in any city, using a few basic urban quantities and no adjustable parameters. Accurate extrapolations of this type will help planners, transportation companies, and society at large to shape a sustainable path for urban growth.
DepartmentMassachusetts Institute of Technology. SENSEable City Laboratory
Nature Publishing Group
Tachet, R.; Sagarra, O.; Santi, P.; Resta, G.; Szell, M.; Strogatz, S. H. and Ratti, C. “Scaling Law of Urban Ride Sharing.” Scientific Reports 7 (March 2017): 42868 © 2017 The Authors
Final published version