基于GPS数据挖掘的出租车出行特征分析  

A Method of Taxi Characteristics Analysis Based on GPS Data Mining

作　　者：罗钧韶 潘嘉杰 LUO Junshao;PAN Jiajie(Shenzhen Urban Transport Planning Center Co.,Ltd,Shenzhen 518000,China)

机构地区：[1]深圳市城市交通规划设计研究中心股份有限公司,深圳518000

出　　处：《交通与运输》2020年第S02期49-54,共6页Traffic & Transportation

摘　　要：出租车GPS数据记录了车辆的出行起讫点、途径位置和出行时间等信息,利用相关的空间匹配算法可以挖掘车辆的出行轨迹,分析出租车的运营特征和乘客出行分布特征等,应用于城市交通规划和出租车运营管理。通过建立标准出租车出行特征分析方法,对GPS数据进行数据清洗、地图匹配、轨迹挖掘和指标计算处理。以南昌市为研究对象,从基本统计指标、运营效益指标、出行特征指标和空间分布指标四方面分析南昌市出租车时空出行特征。The taxi GPS,containing origin,destination,location,and travel time,can be used to reveal the taxi operational characteristics and passenger spatial distribution with trips by map match algorithm,which is significant to urban transportation planning and taxi management.In this paper,A standard method of taxi analysis that including data cleaning,map matching,trip mining and indicator calculating is introduced.Then GPS data from taxi in Nanchang is used to analyze the characteristics of taxi and passenger in spatial and temporal terms by exploring the basic statistics,operational benefits,trip characteristics and spatial distribution.

关 键 词：出租车 GPS数据 运营特征 空间分布 

分 类 号：U491[交通运输工程—交通运输规划与管理]