论文标题
使用基于大规模旅行的数据集对乘车旅行进行深入分析
An In-Depth Analysis of Ride-Hailing Travel Using a Large-scale Trip-Based Dataset
论文作者
论文摘要
随着乘车车使用（RH）的迅速增加，需要更好地理解和规范行业。本文分析了大芝加哥地区的一年价值RH Trip数据，以研究RH Trip模式。分析了超过1.04亿次旅行。对于旅行率，结果表明，一年中的旅行总数保持稳定，汇总旅行从20％稳步下降到9％。与工作日相比，人们在周末倾向于使用RH。具体而言，周末RH旅行计数（每天）平均比工作日旅行计数高20％。这项工作的结果将有助于政策制定者和运输管理员更好地了解RH Trips的性质，这反过来允许设计更好的监管和指导系统。
With the rapid increase in ride-hailing (RH) use, a need to better understand and regulate the industry arises. This paper analyzes a year's worth of RH trip data from the Greater Chicago Area to study RH trip patterns. More than 104 million trips were analyzed. For trip rates, the results show that the total number of trips remained stable over the year, with pooled trips steadily decreasing from 20 to 9 percent. People tend to use RH more on weekends compared to weekdays. Specifically, weekend RH trip counts (per day) are, on average, 20 percent higher than weekday trip counts. The results of this work will help policy makers and transportation administrators better understand the nature of RH trips, which in turn allows for the design of a better regulation and guidance system for the ride-hailing industry.
