The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Quantifying the benefits of vehicle pooling with shareability networks
Open accessAbstract
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.
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Cites
Batty, M. (2013) · doi:10.7551/mitpress/9399.001.0001 · Cited by 1,700
Cited by
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Schwarting, W., Alonso-Mora, J., & Rus, D. (2018) · Annual Review of Control, Robotics, and Autonomous Systems · doi:10.1146/annurev-control-060117-105157 · Cited by 972
Addressing the minimum fleet problem in on-demand urban mobility
Vazifeh, M. M., Santi, P., Resta, G., Strogatz, S. H., & Ratti, C. (2018) · Nature · doi:10.1038/s41586-018-0095-1 · Cited by 389
Self-citationShared ride services in North America: definitions, impacts, and the future of pooling
Shaheen, S., & Cohen, A. (2019) · Transport Reviews · doi:10.1080/01441647.2018.1497728 · Cited by 372
Autonomous vehicle fleet sizes required to serve different levels of demand
Boesch, P. M., Ciari, F., & Axhausen, K. W. (2016) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/2542-13 · Cited by 253
Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach
Chen, X. (., Zahiri, M., & Zhang, S. (2017) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.12.018 · Cited by 252
Metadata
- Authors
- Santi, P., Resta, G., Szell, M., Sobolevsky, S., Strogatz, S. H., & Ratti, C.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2014-09-02
- Volume
- 111
- Issue
- 37
- Pages
- 13290-13294
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2156767060
- Cited by
- 745
- References
- 1
- FWCI
- 47.80
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Santi, P., Resta, G., Szell, M., Sobolevsky, S., Strogatz, S. H., & Ratti, C. (2014). Quantifying the benefits of vehicle pooling with shareability networks. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1403657111
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
