基于IC卡刷卡数据的深圳市轨道交通站点活力研究

基于深圳市IC卡刷卡数据，分析深圳市轨道交通网络客流分布的特征规律，探讨轨道交通的客流模式，并提出一种基于客流强度和客流时间持续性的综合评估指标，定量分析深圳轨道交通站点的客流活力分布特征，而后对轨道交通站点进行分类分析。研究结果表明：深圳轨道交通网络的客流分布极不均衡，少数站点占据了大量的轨道交通客流量，前10的站点客流比重为19.64%；不同类型的站点客流模式存在显著差异，工作日和非工作日客流模式也有所不同。深圳轨道交通网络活力相对匮乏的站点比重较大，超过60%，非工作日轨道交通网络的客流活力明显优于工作日。

Vitality Analysis of Shenzhen Rail Transit Stations Based on IC Card Swiping Data

The passenger flow effects are the core issue of rail transit development. In this study, we analyzed the characteristics of passenger flow distribution in the Shenzhen rail transit network and discussed the rail transit passenger flow pattern, based on Shenzhen IC card swiping data. We then proposed, based on the flow intensity and time sustainability, a comprehensive index to quantitatively evaluate the passenger flow vitality of the Shenzhen metro stations and classify them accordingly. The results show that the passenger flow distribution of the Shenzhen rail transit network is extremely unbalanced, with the top 10 stations capturing a large proportion (19.64%) of the passenger flow. There are significant differences in the passenger flow patterns of different types of stations, and differences between working days and non-working days are also apparent. Over 60% of the Shenzhen rail transit stations show relatively low vitality, however the passenger flow on non-working days is significantly better than on working days.