基于一卡通数据的城市客流流向分析

Passenger Flow Direction Analysis of Urban City Using Bus Card Data

摘要: 基于城市公交一卡通刷卡数据，本文提出一种新的方法来识别城市客流流向，该方法首先根据轨道站点的特征把站点分为三类：住宅区站点、工作区站点和混合区站点，然后通过进一步分析得到城市客流流向规律；最后，以北京市轨道交通为例，分析了客流流向规律。

Abstract: While Automated Fare Collection System is widely used in many cities all over the world, large amount of swiping card data has been recorded. By using the data, this paper proposed a novel method to recognize passenger flow direction in urban cities. At the beginning of this paper, subway stations are divided into three kinds, including stations in residences, stations in work area and stations in mixed area. Then a model is built to recognize the passenger flow directions in peak hour. Finally, passenger flow patterns in Beijing are analyzed.