Quantifying the benefits of vehicle pooling with shareability networks

Significance Recent advances in information technologies have increased our participation in “sharing economies,” where applications that allow networked, real-time data exchange facilitate the sharing of living spaces, equipment, or vehicles with others. However, the impact of large-scale sharing o...

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Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS 2014-09, Vol.111 (37), p.13290-13294
Main Authors: Santi, Paolo, Resta, Giovanni, Szell, Michael, Sobolevsky, Stanislav, Strogatz, Steven H., Ratti, Carlo
Format: Article
Language:English
Subjects:
Air pollution
Car pools
Carpooling
Commuting
Datasets
Emissions
Oracles
Passengers
Physical Sciences
Simulation
Social Sciences
Taxation systems
Taxicabs
Time windows
Traffic congestion
Travel time
Vehicles
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Summary:Significance Recent advances in information technologies have increased our participation in “sharing economies,” where applications that allow networked, real-time data exchange facilitate the sharing of living spaces, equipment, or vehicles with others. However, the impact of large-scale sharing on sustainability is not clear, and a framework to assess its benefits quantitatively is missing. For this purpose, we propose the method of shareability networks, which translates spatio-temporal sharing problems into a graph-theoretic framework that provides efficient solutions. Applying this method to a dataset of 150 million taxi trips in New York City, our simulations reveal the vast potential of a new taxi system in which trips are routinely shareable while keeping passenger discomfort low in terms of prolonged travel time.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.1403657111