基于出租车GPS数据的商圈分析  

ANALYSIS OF BUSINESS CIRCLE BASED ON TAXI GPS DATA

作　　者：朱昶胜[1] 刘敬帅 李硕 

机构地区：[1]兰州理工大学计算机与通信学院,甘肃兰州730050

出　　处：《计算机应用与软件》2017年第10期124-128,共5页Computer Applications and Software

基　　金：甘肃省自然科学基金项目(148RJZA019);甘肃省高校科研项目(2015B-031)

摘　　要：出租车运营特性具有随机性、即走即停、覆盖范围广的特点,行驶的起止点由乘客决定,其运营规律能够很好地反映乘客出行的特点。根据出租车GPS的定位数据在真实地理空间的覆盖情况,可以还原居民出行的活动轨迹,挖掘潜在信息。提出采用出租车GPS定位数据进行商圈分析。通过对GPS定位数据进行网格划分、聚类,使用R语言建立相应的数据模型以及对模型的应用和结果分析。实验结果表明,将不同时段、不同地点的出租车特征进行统计分析做出折线图,可以识别出不同商圈类型,根据这些信息为潜在顾客的分布制定适宜的商业对策。Taxi operation characteristics are random,with flexible boarding area,covering a wide range. Because the starting and ending points are determined by the passengers, therefore, taxi ＇s operating rules can reflect the characteristics of passengers travel well. According to the GPS data in the real geographical space coverage,we can restore the activities of residents travel trajectory,and dig out the potential information. So we propose the use of taxi GPS location data for business district analysis. Through meshing and clustering with GPS location data,corresponding mathematical models were established with R language and the application and results analysis of the model were discussed. The experimental results show that through the statistical analysis to characteristics of taxi,those at various times and in different locations,the line chart can be built. From this chart,the types of business district can be identified. According to this information,the suitable business strategy can be made for the potential customer＇s distribution.

关 键 词：数据挖掘 R语言 GPS数据 商圈分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]