基于手机数据的轨道交通站点吸引范围研究——以成都市为例

Research on Attraction Scope of Subway Station Based on Mobile Signaling Data——Taking Chengdu as an Example

站点吸引范围的大小直接影响轨道交通的客流效益,也是城市交通一体化水平的重要体现.本文整合大数据挖掘和分析技术,以成都市现状运营的轨道交通网络为基础,基于手机信令数据获取了轨道吸引客流的真实空间分布规律,定义并量化了轨道交通站点的综合影响范围、及其关键影响因素(站点密度、职住分布、站点可达性),通过聚类分析、交叉分析等统计手段,构建了成都市站点吸引范围与其影响因素之间的相关关系,为成都市轨道交通站点吸引范围提供合理取值建议,进而为轨道接驳规划、客流预测、站点布局规划等实际工作提供参考依据.

The size of the attraction area of stations directly affects the passenger flow benefits of subways,and it is also an important embodiment of the level of urban transport integration.This paper integrates big data mining and analysis technology.Based on the mobile signaling data,it obtains the real spatial distribution rules of passenger flow attracted by subway.It is based on the subway network currently operating in Chengdu.In addition,this paper defines and quantifies the comprehensive influence scope of subway stations and their key influencing factors(station density,population and employment data distribution,and station accessibility).In this thesis,the correlation between the attraction scope of Chengdu’s sites and their influencing factors is constructed through cluster analysis,crossing analysis and other statistical means.The research results provide reasonable value suggestions for the attraction range of Chengdu subway stations,and provide reference for practical work such as subway connection planning,passenger flow prediction,station layout planning,etc.