On Ridesharing Competition and Accessibility: Evidence from Uber, Lyft, and Taxi
On Ridesharing Competition and Accessibility: Evidence from Uber, Lyft, and Taxi
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DOI：
10.1145/3178876.3186134
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发表时间：
2018-04
期刊：
影响因子：
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通讯作者：
Shan Jiang;Le Chen;A. Mislove;Christo Wilson
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文献类型：
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作者：
Shan Jiang;Le Chen;A. Mislove;Christo Wilson
Uber和Lyft等拼车服务已成为Vehicle For Hire（VFH）市场的重要组成部分，该市场过去由出租车主导。不幸的是，拼车服务不需要像出租车服务那样共享数据，这使得比较这些服务的竞争动态或评估其对城市的影响变得具有挑战性。在本文中，我们全面比较了优步、Lyft和出租车在弗朗西斯科和纽约市的关键市场特征（供应、需求、价格和等待时间）。基于点模式统计，我们开发了新的统计技术来验证我们的测量方法。利用空间滞后模型，我们研究了VFH服务的可达性，发现交通基础设施和社会经济特征对VFH市场特征有实质性影响。
Ridesharing services such as Uber and Lyft have become an important part of the Vehicle For Hire (VFH) market, which used to be dominated by taxis. Unfortunately, ridesharing services are not required to share data like taxi services, which has made it challenging to compare the competitive dynamics of these services, or assess their impact on cities. In this paper, we comprehensively compare Uber, Lyft, and taxis with respect to key market features (supply, demand, price, and wait time) in San Francisco and New York City. Based on point pattern statistics, we develop novel statistical techniques to validate our measurement methods. Using spatial lag models, we investigate the accessibility of VFH services, and find that transportation infrastructure and socio-economic features have substantial effects on VFH market features.