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- Paolo Santi
- Senseable City Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139;
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- Giovanni Resta
- Istituto di Informatica e Telematica del Consiglio Nazionale delle Ricerche, 56124 Pisa, Italy; and
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- Michael Szell
- Senseable City Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139;
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- Stanislav Sobolevsky
- Senseable City Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139;
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- Steven H. Strogatz
- Department of Mathematics, Cornell University, Ithaca, NY 14853
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- Carlo Ratti
- Senseable City Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139;
説明
<jats:title>Significance</jats:title> <jats:p>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.</jats:p>
収録刊行物
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- Proceedings of the National Academy of Sciences
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Proceedings of the National Academy of Sciences 111 (37), 13290-13294, 2014-09-02
Proceedings of the National Academy of Sciences
