Scaling law of urban ride sharing
Open accessAbstract
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.
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Tachet et al. (2017) concluded that the potential for ride-sharing is high, even for low trip density of taxi requests.
“Tachet et al. (2017) propose a simple model to ascertain potential for ride-sharing in any city based on the taxi requests and conclude that the potential for sharing is high, even for low trip density of taxi requests.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Tachet et al. (2017)
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Shared autonomous vehicle services: A comprehensive review
Narayanan, S., Chaniotakis, E., & Antoniou, C. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.12.008 · Cited by 691 · see citing works
- Authors
- Tachet, R., Sagarra, O., Santi, P., Resta, G., Szell, M., Strogatz, S. H., & Ratti, C.
- Affiliations
- Massachusetts Institute of Technology (US)
- Institute of Informatics and Telematics (IT)
- Centre for Social Sciences (HU)
- Cornell University (US)
- Venue
- Scientific Reports
- Published
- 2017-03-06
- Volume
- 7
- Issue
- 1
- Pages
- 42868-42868
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC5337932
- OpenAlex
- W2548457741
- Cited by
- 1
- References
- 0
- Citations by year
- 2017: 1
- FWCI
- 0.17
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Nature
- Funders
- National Science Foundation (1522054, 1513179)
- Accenture
- Fondazione Centro Studi Enel
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Social Sciences › Transportation › Transportation Planning and Optimization
- Physical Sciences › Engineering › Building and Construction › Traffic Prediction and Management Techniques
- Keywords
- ride-sharing, shareability, scaling laws, taxi trips, urban transport, carpooling, urban expansion, sustainable urban planning, rescaling, theoretical model
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