An empirical analysis of taxi, Lyft and Uber rides: Evidence from weather shocks in NYC
An empirical analysis of taxi, Lyft and Uber rides: Evidence from weather shocks in NYC
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DOI：
10.1016/j.jebo.2018.06.004
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发表时间：
2018-08-01
影响因子：
2.2
通讯作者：
Nield, Kerry
中科院分区：
文献类型：
--
作者：
Brodeur, Abel;Nield, Kerry
使用纽约市所有出租车、Lyft和Uber乘车服务，我们发现Uber和Lyft乘车次数与是否下雨显着相关。下雨时，每小时乘坐Uber（Lyft）的次数约增加22%，而每小时乘坐出租车的次数仅增加5%，这表明高峰定价（黄金时段）鼓励供应增加。我们发现，虽然出租车的乘坐次数，乘客和车费收入都显着下降后，优步进入市场在2011年5月，出租车并没有不同的反应增加的需求，在雨天比非雨天的时间，因为优步的入口。最后，我们测试Lyft进入市场是否影响了Uber。我们的估计表明，在Lyft进入市场后，Uber仍在增长，但雨天的Uber乘车次数减少了约9%。我们的研究结果表明，动态定价使Lyft和Uber司机在需求突然增加时竞争乘车，即，在雨天。(C)2018爱思唯尔B.V.保留所有权利。
Using all taxi, Lyft and Uber rides in New York City, we show that the number of Uber and Lyft rides is significantly correlated with whether it rained. The number of Uber (Lyft) rides per hour is about 22 (19)% higher when it is raining, while the number of taxi rides per hour increases by only 5% in rainy hours suggesting that surge pricing (prime time) encourages an increase in supply. We show that while the number of taxi rides, passengers and fare income all significantly decreased after Uber entered the market in May 2011, taxis do not respond differently to increased demand in rainy hours than non-rainy hours since the entrance of Uber. Last, we test whether Lyft's entry in the market affected Uber. Our estimates suggest that Uber was still growing after Lyft entered the market, but that Uber rides during rainy hours decreased by about 9%. Our findings suggest that dynamic pricing make Lyft and Uber drivers compete for rides when demand suddenly increases, i.e., during rainy hours. (C) 2018 Elsevier B.V. All rights reserved.