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Measuring the impact of ride-hailing firms on urban congestion: The case of Uber in Europe
Papers in Regional Science ( IF 2.186 ) Pub Date : 2021-04-19 , DOI: 10.1111/pirs.12607
Xavier Fageda 1
Affiliation  

This paper examines the impact of Uber, the world's largest ride-hailing firm, on congestion. Drawing on data from European cities for the period 2008 through 2016, I find a negative impact of Uber on congestion. The estimated impact in the baseline regression is −3.5 percentage points, but it is higher in cities that do not impose strong regulatory restrictions to ride-hailing services. In addition, the negative impact of Uber on congestion is only statistically significant in denser cities. The Uber effect is gradual given that its impact increases over time. Finally, I find suggestive evidence that the potential endogeneity bias underestimates the negative effect of Uber on congestion.

中文翻译:

衡量网约车公司对城市拥堵的影响:优步在欧洲的案例

本文研究了全球最大的叫车公司优步对交通拥堵的影响。根据 2008 年至 2016 年期间欧洲城市的数据,我发现优步对交通拥堵产生了负面影响。基线回归的估计影响为 -3.5 个百分点,但在没有对乘车服务施加严格监管限制的城市中影响更大。此外,优步对拥堵的负面影响仅在人口稠密的城市具有统计意义。优步效应是渐进的,因为其影响会随着时间的推移而增加。最后,我找到了暗示性证据,表明潜在的内生性偏见低估了优步对拥堵的负面影响。
更新日期:2021-04-19
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