测绘通报 ›› 2020, Vol. 0 ›› Issue (3): 48-55.doi: 10.13474/j.cnki.11-2246.2020.0077

• 学术研究 • 上一篇    下一篇

一种城市公共自行车接驳地铁出行的时空可视化分析方法

高智文1, 张学东1, 徐志洁1, 张健钦1, 申兆慕1, 郭小刚1, 杨铭2   

  1. 1. 北京建筑大学, 北京 100044;
    2. 西安科技大学, 陕西 西安 710054
  • 收稿日期:2019-07-11 发布日期:2020-04-09
  • 通讯作者: 徐志洁。E-mail:xuzhijie@bucea.edu.cn E-mail:xuzhijie@bucea.edu.cn
  • 作者简介:高智文(1994-),男,硕士生,研究方向为智能交通与地理信息可视化。E-mail:834298891@qq.com
  • 基金资助:
    国家自然科学基金面上项目(41701473;41771413);北京建筑大学校设基金(ZF16081;ZF17062;X18054;X19021;X19027);北京建筑大学研究生创新项目(PG2019067);广州市工信委项目(GZIT2016-A5-147)

A space-time visualization analysis method for urban public bicycles connecting to the subway

GAO Zhiwen1, ZHANG Xuedong1, XU Zhijie1, ZHANG Jianqin1, SHEN Zhaomu1, GUO Xiaogang1, YANG Ming2   

  1. 1. Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
    2. Xi'an University of Science and Technology, Xi'an 710054, China
  • Received:2019-07-11 Published:2020-04-09

摘要: 公共自行车是城市轨道交通的重要接驳方式。为了更加清晰、直观地展示公共自行车接驳地铁出行的时空特征,本文提出了一种公共自行车租赁点接驳地铁出行客流量的时空可视化分析方法。该方法首先将地铁客流与公共自行车的IC卡数据进行预处理与时序分析,初步分析了两者之间的时序相似性;通过对地铁客流的时间聚类进行分析,得到了3种类型的出行日;然后分别对各类型出行日的相关性计算结果进行了特征可视化与空间信息可视化,实现对公共自行车接驳地铁出行时空特征的综合分析;最后运用该方法以北京市西城区宣武门地铁站为例,对该站合理范围内的公共自行车接驳地铁出行情况进行了时空可视化分析。结果表明,对地铁客流与公共自行车IC卡数据的融合可视化分析可更加全面、动态地掌握城市公共自行车接驳地铁出行的时空分布情况,该方法可为城市轨道交通站点处公共自行车租赁点的规划及建设提供量化依据。

关键词: 公共自行车, 接驳, 地铁, 相关系数, 可视化

Abstract: Public bicycle is an important connection method for urban rail transit. In order to show the time and space characteristics of public bicycle connection subway travel more clearly and intuitively, this paper proposes a time-space visual analysis method for public bicycle rental point to connect passenger traffic. The method firstly preprocesses and analyzes the IC card data of subway passenger flow and public bicycle, and analyzes the time series similarity between the two. Then, through the time cluster analysis of subway passenger flow, three types of travel day are obtained. Respectively, feature visualization and spatial information visualization for the correlation calculation results of each type of travel day, to achieve a comprehensive analysis of the time and space characteristics of public bicycle access subway travel. Finally, the method is used to Xuanwumen subway station in Xicheng District, Beijing, a time-space visual analysis of the public bicycle connection subway travel within a reasonable range of the station was carried out. The results show that the visual analysis of the integration of subway passenger flow and public bicycle IC card data can more comprehensively and dynamically grasp the spatial and temporal distribution of urban public bicycle connection subway travel. This method can be used for the planning of public bicycle rental points at urban rail transit stations and construction provides a quantitative basis.

Key words: public bicycle, connection, subway, correlation coefficient, visualization

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