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Data-Driven Operation Characteristics Analysis of Traditional Taxis and Transportation Network Company Cars

机译：传统出租车和交通网络公司汽车的数据驱动运行特性分析

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摘要

A lot of attention has been paid on the differences of operation and service characteristics between traditional taxis and transportation network company (TNC) cars. Based on the multi-source data including taximeter data, GPS data of the traditional taxi, and TNC data in working days in September 2015, this paper proposes taxi operation characteristic index model and compares the operation characteristics from the views of operation intensity, and spatial and temporal distribution. The analysis results indicate that the operation intensity of TNC cars is 40% when compared to that of the traditional taxis in general. More than 50% of the TNC transactions are mainly concentrated during morning and evening peak hours and during the night. Spatial distribution shows that the TNC pick-up hotspots coincide with that of the traditional taxis in the downtown area. But, on the regions outside of the downtown where the taxi supply is not sufficient, TNCs form the significant replacement for the traditional taxi service. The balance coefficient (BC) in these regions could also be increased by 9% in peak hours. This paper provides an important support for the scientific management and service quality improvement of the taxi industry.
机译：传统出租车和运输网络公司（TNC）汽车之间在操作和服务特性上的差异已经引起了很多关注。基于出租车计程器数据，传统出租车的GPS数据以及2015年9月工作日的TNC数据等多源数据，提出了出租车的运营特征指标模型，并从运营强度，空间角度对运营特征进行了比较。和时间分布。分析结果表明，与传统出租车相比，跨国公司汽车的运营强度为40％。超过50％的TNC交易主要集中在上午和傍晚的高峰时段以及夜间。空间分布表明，TNC的接送热点与市区的传统出租车相吻合。但是，在市区以外的出租车供应不足的地区，跨国公司成为传统出租车服务的重要替代品。在高峰时段，这些区域的平衡系数（BC）也可以增加9％。本文为出租车行业的科学管理和服务质量的提高提供了重要的支持。

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