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      Do transportation network companies decrease or increase congestion?

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          Abstract

          Transportation network companies (TNCs), such as Uber and Lyft, are the major driver of increasing traffic congestion in San Francisco.

          Abstract

          This research examines whether transportation network companies (TNCs), such as Uber and Lyft, live up to their stated vision of reducing congestion in major cities. Existing research has produced conflicting results and has been hampered by a lack of data. Using data scraped from the application programming interfaces of two TNCs, combined with observed travel time data, we find that contrary to their vision, TNCs are the biggest contributor to growing traffic congestion in San Francisco. Between 2010 and 2016, weekday vehicle hours of delay increased by 62% compared to 22% in a counterfactual 2016 scenario without TNCs. The findings provide insight into expected changes in major cities as TNCs continue to grow, informing decisions about how to integrate TNCs into the existing transportation system.

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          Most cited references17

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          Towards an Understanding of the Travel Behavior Impact of Autonomous Vehicles

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            Shared Mobility and the Transformation of Public Transit

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              Ridership effects of real-time bus information system: A case study in the City of Chicago

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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                May 2019
                08 May 2019
                : 5
                : 5
                : eaau2670
                Affiliations
                [1 ]Department of Civil Engineering, University of Kentucky, 161 Raymond Building, Lexington, KY 40506, USA.
                [2 ]San Francisco County Transportation Authority, 1455 Market Street, San Francisco, CA 94103, USA.
                Author notes
                [* ]Corresponding author. Email: greg.erhardt@ 123456uky.edu
                Author information
                http://orcid.org/0000-0001-8133-3381
                http://orcid.org/0000-0002-0228-5770
                http://orcid.org/0000-0002-7240-1845
                http://orcid.org/0000-0003-1502-5991
                http://orcid.org/0000-0002-7737-2895
                http://orcid.org/0000-0002-3931-6286
                Article
                aau2670
                10.1126/sciadv.aau2670
                6506243
                31086811
                02de5f99-f8a3-48b3-a7f9-0562d0dd2a2d
                Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).

                This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 23 May 2018
                : 01 April 2019
                Funding
                Funded by: San Francisco County Transportation Authority;
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Economics
                Engineering
                Economics
                Custom metadata
                Monica Bilog

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