Do transportation network companies decrease or increase congestion?
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, the authors 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.
- Record URL:
- Record URL:
-
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23752548
-
Supplemental Notes:
- open access creative commons
-
Authors:
- Erhardt, Gregory D
-
0000-0001-8133-3381
- Roy, Sneha
- Cooper, Drew
- Sana, Bhargava
- Chen, Mei
- Castiglione, Joe
- Publication Date: 2019
Language
- English
Media Info
- Media Type: Web
- Features: Figures; Maps; References; Tables;
- Pagination: eaau2670
-
Serial:
- Science Advances
- Volume: 5
- Issue Number: 5
- Publisher: American Association for the Advancement of Science
- ISSN: 2375-2548
- Serial URL: http://advances.sciencemag.org/
Subject/Index Terms
- TRT Terms: Application programming interfaces; Large cities; Ridesourcing; Traffic congestion
- Identifier Terms: Lyft; Uber
- Geographic Terms: San Francisco (California)
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01712705
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 29 2019 10:57AM