摘要
基于第二次全国经济普查分区县18个行业的就业人口数据,以局部空间自相关G系数为衡量标准,对首都圈120个地理单元的就业热点即集聚中心进行判定,分析首都圈的区域空间结构。运用SOFM神经网络聚类对区域内分区县的行业门类进行聚类,探讨首都圈内部各城市职能分工以及首都圈经济结构及空间组合特征。研究表明:首都圈呈现"‘一主一次’双核、一廊、七中心"的区域空间结构特征;北京和天津在区域内具有综合性服务职能,河北七地市的中心城区职能各有侧重,但都具有地区性中心的职能。
Based on the second national economic cen- sus employments data of sub - counties by 18 sectors, this arti- cle uses the spatial autocorrelation coefficient of G statistic cal- culated in ArcGIS to analyzes the economic structure of 120 counties of the Capital Metropolitan Region. In order to get the cities＇ different functions, it clusters on the county level through the SOFM neural network. The results show that the spatial structure presented in the Capital Metropolitan Region takes on a feature of ＂ dual - core of primary and secondary, one corridor and seven centers ＂. Beijing and Tianjin in the region with com- prehensive service functions, and seven cities in Hebei Province outside the dual - core not only take distinctive functions of the central city, but also has a regional integrated service functions.
出处
《城市问题》
CSSCI
北大核心
2012年第4期46-49,共4页
Urban Problems
基金
国家自然科学基金项目(41171099)
关键词
首都圈
空间结构
职能分工
G系数
神经网络
the Capital Metropolitan Region
spatial structure
division of functions
G statistic
neural network
