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Exploring ride-hailing fares: an empirical analysis of the case of Madrid
Transportation ( IF 3.5 ) Pub Date : 2021-03-06 , DOI: 10.1007/s11116-021-10180-w
Thais Rangel , Juan Nicolas Gonzalez , Juan Gomez , Fernando Romero , Jose Manuel Vassallo

Ride-hailing is an emerging service that is transforming door to door mobility in urban areas. Users can easily request a ride through a smartphone app that informs them of the pickup time, the location of the vehicle, and the fare that they will pay in advance. Even though it is well known that Uber implements a dynamic pricing approach depending mostly on supply, demand and competition with other services, there is still little empirical evidence on the main drivers explaining the fare strategy of the company. However, a deeper understanding of prices is essential to evaluate and establish a future scenario with smarter regulation and fairer competition between ridesourcing and taxi services. Using 10-month data from the Uber’s application programming interface in the city of Madrid, this research studies the association of Uber fares with different explanatory variables. It also explores the main differences between Uber and taxi fares. The results indicate that trip distance, trip delay, day of the week, origin and destination of the trip, and rain precipitation have a statistically significant impact on Uber fares. The findings also show that on average, Uber fares are lower than taxi fares, with the exception of particular hours of the day, as well as Uber fares slightly increased during taxi strikes recently happened in Madrid. The paper concludes with some policy recommendations and insigths regarding the future of the hailing sector and the importance of prices in evaluating future changes and possibilities.



中文翻译:

探索叫车票价:对马德里案例的实证分析

乘车服务是一种新兴服务,正在改变城市地区的门到门移动性。用户可以通过智能手机应用程序轻松请求乘车,该应用程序告知他们取车时间,车辆位置以及他们将提前支付的车费。尽管众所周知,Uber实施动态定价方法主要取决于供应,需求和与其他服​​务的竞争,但仍然没有太多的经验证据可以说明该公司的票价策略。但是,对价格的更深入了解对于评估和建立未来的情况至关重要,因为这种情况将制定更明智的法规,并在乘车服务和出租车服务之间建立更公平的竞争。使用来自马德里市Uber应用程序编程界面的10个月数据,这项研究研究了Uber票价与不同解释变量之间的关联。它还探讨了优步和出租车票价之间的主要区别。结果表明,出行距离,出行延误,一周中的某天,出行的起点和目的地以及雨水的降雨对Uber票价具有统计学上的显着影响。调查结果还显示,除一天中的特定时段外,Uber的票价平均低于出租车,而马德里最近发生的出租车罢工期间,Uber的票价略有上涨。本文以有关冰雹行业的未来以及价格在评估未来变化和可能性中的重要性的一些政策建议和隐喻作为结尾。结果表明,出行距离,出行延误,一周中的某天,出行的起点和目的地以及雨水的降雨对Uber票价具有统计学上的显着影响。调查结果还显示,除一天中的特定时段外,Uber的票价平均低于出租车,而马德里最近发生的出租车罢工期间,Uber的票价略有上涨。本文以有关冰雹行业的未来以及价格在评估未来变化和可能性中的重要性的一些政策建议和隐喻作为结尾。结果表明,出行距离,出行延误,一周中的某天,出行的起点和目的地以及雨水的降雨对Uber票价具有统计学上的显着影响。调查结果还显示,除一天中的特定时段外,Uber的票价平均低于出租车,而马德里最近发生的出租车罢工期间,Uber的票价略有上涨。本文以有关冰雹行业的未来以及价格在评估未来变化和可能性中的重要性的一些政策建议和隐喻作为结尾。除了一天中的特定时段,以及最近在马德里发生的出租车罢工期间,Uber的车费略有增加。本文以有关冰雹行业的未来以及价格在评估未来变化和可能性中的重要性的一些政策建议和隐喻作为结尾。除了一天中的特定时段,以及最近在马德里发生的出租车罢工期间,Uber的票价略有上涨。本文以有关冰雹行业的未来以及价格在评估未来变化和可能性中的重要性的一些政策建议和隐喻作为结尾。

更新日期:2021-03-07
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