基于出租车GPS数据的城市人群出行模式研究
|
摘要
道路拥堵、打车难等城市交通问题是当下交通资源约束城市发展的集中体现。海量的出租车GPS数据中蕴含着人们出行的规律、模式,可以为城市交通规划的科学化、合理化提供重要参数依据。文章从数据分析角度,利用成都市滴滴平台开放数据对市民一周内乘坐出租车的出行行为在时间上和空间上的规律与模式进行了全面剖析,结果较为符合成都市居民的出行习惯和作息规律,并针对性地提出建议,为成都市交通建设及管理提供一定参考。
The urban traffic problems,such as road congestion and the difficulty in hailing a taxi are the concentrated embodiment of urban development constrained by traffic resources.The massive taxi GPS data contains the regularity and the patterns about travel behavior of residents,which can provide the important parameter basis for the scientific and rational urban traffic planning.By collecting the taxi GPS data of one week in Chengdu from DiDi platform,this paper analyzes the resident-trip pattern from the perspective of temporal and spatial combination.The result shows that the conclusions are consistent with the travel habits and work schedule of residents in Chengdu.At last,the data gives some specific suggestions of the traffic construction and management in Chengdu for reference.
The urban traffic problems,such as road congestion and the difficulty in hailing a taxi are the concentrated embodiment of urban development constrained by traffic resources.The massive taxi GPS data contains the regularity and the patterns about travel behavior of residents,which can provide the important parameter basis for the scientific and rational urban traffic planning.By collecting the taxi GPS data of one week in Chengdu from DiDi platform,this paper analyzes the resident-trip pattern from the perspective of temporal and spatial combination.The result shows that the conclusions are consistent with the travel habits and work schedule of residents in Chengdu.At last,the data gives some specific suggestions of the traffic construction and management in Chengdu for reference.
引文
[1]蒋沅嫄.我国城市居民出行行为大数据采集与应用研究[J].福建行政学院学报,2018(1):19-28.
[2]童晓君.基于出租车GPS数据的居民出行行为分析[D].长沙:中南大学,2012.
[3]齐观德,李石坚,潘遥,等.基于出租车轨迹数据挖掘的乘客候车时间预测:第八届和谐人机环境联合学术会议(HHME2012)论文集[C/OL].2012[2019-05-20].http://cpfd.cnki.com.cn/Article/CPFDTOTAL-JDMT201211003002.htm.
[4]韩一童,王卫安.基于出租车GPS数据的城市居民出行时空分布研究[J].测绘与空间地理信息,2018(2):87-89.
[5]马云飞.基于出租车轨迹点的居民出行热点区域与时空特征研究——以昆山市为例[D].南京:南京师范大学,2014.
[6]郑林江,赵欣,蒋朝辉,等.基于出租车轨迹数据的城市热点出行区域挖掘[J].计算机应用与软件,2018(1):1-8.
[2]童晓君.基于出租车GPS数据的居民出行行为分析[D].长沙:中南大学,2012.
[3]齐观德,李石坚,潘遥,等.基于出租车轨迹数据挖掘的乘客候车时间预测:第八届和谐人机环境联合学术会议(HHME2012)论文集[C/OL].2012[2019-05-20].http://cpfd.cnki.com.cn/Article/CPFDTOTAL-JDMT201211003002.htm.
[4]韩一童,王卫安.基于出租车GPS数据的城市居民出行时空分布研究[J].测绘与空间地理信息,2018(2):87-89.
[5]马云飞.基于出租车轨迹点的居民出行热点区域与时空特征研究——以昆山市为例[D].南京:南京师范大学,2014.
[6]郑林江,赵欣,蒋朝辉,等.基于出租车轨迹数据的城市热点出行区域挖掘[J].计算机应用与软件,2018(1):1-8.