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Do transportation network companies decrease or increase congestion?

delete2019-05-03
delete323
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OA
AI
G
Gregory D. Erhardt *
S
Sneha Roy
D
Drew Cooper
B
Bhargava Sana
M
Mei Chen
J
Joe Castiglione
DOI:10.1126/sciadv.aau2670delete
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摘要

摘要

En 中文
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.
Keyword:
IMPACTS
MODEL
TAXI
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Science Advances 封面图
Science Advances
IF:
12.5
论文数:
2.1W
被引数:
18.1W

机构

U
University of Kentucky
学者数:
2.5W
论文数: 2.1W
被引数: 41
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