The comparison of travel patterns between taxi and private car at Beijing Capital International Airport area

Jiyuan Tan, Yibin Huang, Li Wang, W. Guo, Luxi Dong, Jian Gao, Li Li
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Abstract

In last two years, the rapid development of Internet based ride-sharing has brought great changes to travel pattern of residents. However, few studies has been made to find out the unique travel patterns of Internet based ride-sharing. In this paper, License plate data at the Beijing Capital International Airport area are used to study the travel patterns of taxis and private cars. By comparing the trip records of taxis and private cars, two indicators, the distribution characteristics of vehicle volume and the balanced patterns of time, are selected to identify the ride-sharing cars from private cars. The results showed that there are more taxis than private cars arrival the airport in the evening and the arriving time of private cars is more concentrated. Finally, we used these indicators identify the ride-sharing vehicles from private cars. All these findings will be useful for further research and policy making.
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首都机场区域出租车与私家车出行模式比较
近两年,基于互联网的网约车的快速发展给居民的出行方式带来了巨大的变化。然而,很少有研究发现基于互联网的拼车的独特出行模式。本文以首都机场区域的车牌数据为研究对象,对出租车和私家车的出行模式进行了研究。通过比较出租车和私家车的出行记录,选择车辆数量分布特征和时间平衡模式两个指标来区分拼车和私家车。结果表明:傍晚到达机场的出租车数量多于私家车,且私家车到达时间更为集中;最后,我们用这些指标来区分专车和私家车。所有这些发现都将对进一步的研究和政策制定有用。
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