摘要
用手机数据识别了用户的日间驻留地、夜间驻留地,从中提取出日间在上海中心城内驻留用户、夜间在中心城内驻留用户,分别计算出其通勤范围。根据其夜间驻留地、日间驻留地的分布密度识别出上海中心城的通勤圈,并将其转换为以街道行政边界为空间单元的中心城通勤区。在中心城及通勤区内,超过97%的居民实现了职住平衡。研究表明上海市域空间结构在"中心城"和"郊区"之间还存在一个"中心城通勤区"层次。中心城通勤区以内、以外区域存在较显著差异。中心城通勤区的识别结果可加深对上海市域空间结构的认识,为在市域范围内分层次、分区域制定有针对性的规划政策提供依据。
This paper identifies mobile phone users' daytime stations and nighttime stations, then extracts the users who stay in the Central City during the daytime and users who stay in central city during the daytime and calculate their commuter ranges. The commuting circle of Shanghai Central City is identified based on the density distribution of their nighttime stations or daytime stations. The paper converts the commuting circle into commuting area based on the spatial units of subdistrict. In the Central City and its commuting area, more than 97% residents can get job-housing balance. There is a "Central City Commuting Area" between the "Central City" and "Suburb" in Shanghai urban spatial structure. There are significant differences between inside and outside commuting areas. This result can advance the understanding of Shanghai urban spatial structure and provide the basis for making targeted planning policies hierarchically and regionally in Shanghai.
出处
《城市规划》
CSSCI
北大核心
2015年第9期100-106,共7页
City Planning Review
基金
国家科技支撑计划项目(2012BAJ15B03)资助
关键词
手机数据
通勤区
城市空间结构
大数据
mobile phone data
commuting area
urban spatial structure
big data