地理学报 ›› 2013, Vol. 68 ›› Issue (4): 506-516.doi: 10.11821/xb201304006

• 城市与区域发展 • 上一篇    下一篇

基于GPS数据的北京市郊区巨型社区居民日常活动空间

申悦, 柴彦威   

  1. 北京大学城市与环境学院, 北京 100871
  • 收稿日期:2012-07-26 修回日期:2013-03-02 出版日期:2013-04-20 发布日期:2013-06-20
  • 通讯作者: 柴彦威(1964- ), 男, 甘肃会宁人, 北京大学城市与经济地理系副系主任, 教授, 博士生导师, 中国地理学会会员(S110000358M)。主要研究方向为时间地理学、社会地理学、城市与区域规划。E-mail: chyw@pku.edu.cn E-mail:chyw@pku.edu.cn
  • 作者简介:申悦(1987- ), 女, 辽宁沈阳人, 博士研究生, 主要研究方向为城市社会地理学与行为地理学。E-mail: shenyue0519@163.com
  • 基金资助:

    “十二五”国家科技计划项目课题(2012BAJ05B04);国家自然科学基金项目(41228001)

Daily activity space of suburban mega-community residents in Beijing based on GPS data

SHEN Yue, CHAI Yanwei   

  1. College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
  • Received:2012-07-26 Revised:2013-03-02 Online:2013-04-20 Published:2013-06-20
  • Supported by:

    12th Five-year National Science Supported Planning Project, No.2012BAJ05B04; National Natural Science Foundation of China, No.41228001

摘要: 在城市快速郊区化的过程中,北京市兴建了大规模的郊区经济适用房居住区和郊区新城,形成了特有的郊区居住和日常生活空间。由于这些郊区巨型社区周边配套设施和就业岗位的不足,造成了社区居民的长距离通勤,激化了北京市交通拥堵、职住空间错位等城市问题,也降低了居民的生活质量。伴随着人文地理学中的行为转向,时空间行为已成为透视城市空间的重要视角,行为论方法中的活动空间作为城市社会空间研究的重要测度,受到国内外学者的关注,而国内已有的活动空间研究往往基于传统问卷调查数据利用密度插值法从汇总的角度进行分析,忽略了居民的个体差异性。本研究利用2010 年基于GPS的北京市活动与出行调查数据,以天通苑和亦庄两个郊区巨型社区为例,采用GIS 空间分析和标准置信椭圆法,从非汇总角度对郊区居民的整日活动空间进行测度,并在居民活动空间叠加分析的基础上,研究北京市郊区巨型社区居民工作日和休息日的日常活动空间及其对城区空间和案例社区附近空间的利用情况,挖掘工作日居民对城区空间利用的影响因素,从而透视中国大城市郊区化存在的问题。

关键词: 郊区化, 居民, 活动空间, GPS, GIS, 北京市

Abstract: In the process of rapid suburbanization, large-scale affordable housing and new towns have been built in Beijing's suburban areas, which formed a unique suburban living and daily activity space. However, it leads to some urban problems because of the lack of supporting facilities and job opportunities around this kind of suburban mega-communities. For example, the long distance of commuting, transportation congestion and jobs-housing spatial mismatch, which also lower the residents' life quality. With the behavioral turn in human geography, space-time behavior has become one of the important perspectives on studies on urban space. Activity space, which is an important measurement in the study of urban social space, has attracted much attention from scholars at home and abroad. In China, research on activity space has focused its attention on aggregated aspects, using density interpolation based on questionnaire data to measure activity space, which ignores individual differences of residents. Data used in this study are from activity and travel survey based on GPS, which was done in 2010, with two suburban mega-communities of Tiantongyuan and Yizhuang as cases. Methods of case studies, spatial analysis based on GIS and multiple linear regression are used. The study uses standard confidence ellipse to measure individual activity space from a disaggregated perspective. Spatial overlay analysis is used to study residents' activity space of weekdays and weekends, and their use of urban space and community space. The study also analyzes the influencing factors of residents' use of urban space to examine problems emerging in suburbanization of China's large cities.

Key words: suburbanization, activity space, GPS, GIS, Beijing