基于公交刷卡数据的城市通勤时空分析

SPATIAL AND TEMPORAL ANALYSIS OF URBAN COMMUTING BASED ON SMART BUS CARD DATA

目前大部分公交卡仅用于收费,刷卡记录中不包含乘客的出行站点信息,无法研究乘客的空间出行特征。为了获取乘客的上车站点,将公交刷卡数据和GPS定位数据相匹配,增加到离站弹性阈值,改进传统的上车站点推导算法;通过对公交刷卡行为进行分析,将乘客个体融入到公交乘客整体中,提出下车站点推导算法;在此基础上提出出行时间链的概念,结合PTD模型来识别通勤乘客。以青岛市西海岸新区的公交大数据为例验证了该算法的可行性,并对其进行了通勤时空分析。

At present,most of the smart bus cards are only used for charging.The record of swiping cards only contains swiping time,but lacks the information of passengers boarding and alighting stations,so it is impossible to study the passenger's spatial travel characteristics.In order to obtain the passenger's boarding stations,the smart bus card data and the GPS positioning data were combined and the elastic threshold of entering and leaving the station was added,which improved the traditional method of determining the boarding stations and raised the recognition rate of boarding stations of smart bus card.By analyzing the behavior of bus swiping card and integrating the individual passengers into the whole bus passenger,an innovative identification algorithm of alighting station was proposed.On this basis,the concept of trip time chain was proposed,and the PTD model was combined to identify commuter passengers.Finally,the feasibility of the algorithm was verified by the big bus data of the West Coast New District of Qingdao,and carried out spatial and temporal analysis of urban commuting.