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Scaling Law of Urban Ride Sharing
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 trip...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5337932/ https://www.ncbi.nlm.nih.gov/pubmed/28262743 http://dx.doi.org/10.1038/srep42868 |
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author | Tachet, R. Sagarra, O. Santi, P. Resta, G. Szell, M. Strogatz, S. H. Ratti, C. |
author_facet | Tachet, R. Sagarra, O. Santi, P. Resta, G. Szell, M. Strogatz, S. H. Ratti, C. |
author_sort | Tachet, R. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5337932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53379322017-03-08 Scaling Law of Urban Ride Sharing Tachet, R. Sagarra, O. Santi, P. Resta, G. Szell, M. Strogatz, S. H. Ratti, C. Sci Rep Article 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. Nature Publishing Group 2017-03-06 /pmc/articles/PMC5337932/ /pubmed/28262743 http://dx.doi.org/10.1038/srep42868 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Tachet, R. Sagarra, O. Santi, P. Resta, G. Szell, M. Strogatz, S. H. Ratti, C. Scaling Law of Urban Ride Sharing |
title | Scaling Law of Urban Ride Sharing |
title_full | Scaling Law of Urban Ride Sharing |
title_fullStr | Scaling Law of Urban Ride Sharing |
title_full_unstemmed | Scaling Law of Urban Ride Sharing |
title_short | Scaling Law of Urban Ride Sharing |
title_sort | scaling law of urban ride sharing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5337932/ https://www.ncbi.nlm.nih.gov/pubmed/28262743 http://dx.doi.org/10.1038/srep42868 |
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