center area spatial autocorrelation spatial Gini coefficient

  本文关键词：大北京人口分布格局与多中心性测度，由笔耕文化传播整理发布。

大北京人口分布格局与多中心性测度

Population Distribution and Multicenter Measurement of Great Beijing

[1]

YANG Ka （College of Public Management, University of International Relations, Beijing 100091, China）

国际关系学院公共管理系,北京100091

文章摘要：为了弄清北京大都市区的发展格局与趋势.运用空间自相关分析、空间基尼系数、人口一空间基尼系数对大北京都市圈的人口空间格局、就业空间格局等进行分析。研究结果表明：外来人口和常住人口分布的Moran1分别为o.25和0.31.P值小于0.001.二者均呈显著的空间自相关;北京市的常住人口仍然呈显著的单中心聚集形态.外围中心并未形成强势的人口聚集热点.距离中心约40-60km处的西北、东北和西南方向上形成了三个冷点区域;外来人口热点集中在以月坛街道为中心、大约40km为半径的圆形区域.该区域基本覆盖了东城区、西城区、朝阳区的行政面积.海淀区、丰台区的东半部分.以及昌平区、顺义区、通州区、大兴区的靠近城市中心部分.冷点区域则更靠近边缘。对大北京的背景区域—京津冀都市圈的多中心性分析表明.该区域首位特征突出.多中心性不明显：该区域33.6%和35%的城镇人口与非农就业集中在北京.专业技术人员有60%聚集于北京和天津;专业技术人员中文学艺术工作人员和新闻、出版、文化艺术工作人员的空间基尼系数最大.分别有79%和73%的人员聚集在北京.空间基尼系数达到0.36和0.29;科学研究人员的聚集也比较显著.空间基尼系数达到0. 18.有60%以上汇聚北京;2000年以来整个区域的人口基尼系数逐年递增。因此.京津冀区域的发展应从三个层次着手：在北京行政区内培育新城热点.促进城市的多中心化发展;在京津冀重要交通廊道上推进轴线空间建设.保持集聚经济优势;在区域空间中促进新城镇建设.协调发展区域经济网络。

Abstr：In order to have a clear knowledge on the structure and development trend of Beijing metropolitan area, this article analyzes tile spatial pattern of large Beijing metropolitan area＇s population and employment by the methods of spatial autocorrelation analysis, spatial gini coefficient, and population-space Gini coefficient. The results shows as follows：①the Moran I of the migrants population and the permanent resident population is respectively 0.25 and 0.31, and the P-value is less than 0.001, which means both of them have a obvious spatial autocorrelation; ②the permanent resident population of Beijing still tend to gather in a single center by which the peripheral centers have not yet formed a new population zone, so in the northwest, northeast and southwest far from the city center about 40km - 60km formed three kinds of cold region; ③The concentrating zone of the migrants population is in a circular region about 40km radius from Yuetan street center, which covers Dongcheng District, Xieheng District, Chaoyang District, eastern part of Haidian and Fengtai District, Changping District, Shunyi District, Tongzhou District, and Daxing District＇s near center part , so the cold gathering point area is closer to the edge ; ④the significant characteristics of Great Beijing Region is first-type features, rather than the multi-center,with a large number of professionals gathering in the Capital and the population Gini coefficient of the entire region increasing year by year since 2000. The concrete data shows that about 33. 6% of urban population, 35% of non-agricultural employment and 60% of scientific researchers who reached 0.18 population-space Gini coefficient concentrate in the Beijing, but about 60% of prof

文章关键词：

Keyword：:multi-center area spatial autocorrelation spatial Gini coefficient great Beijing metropolitan area Beijing-Tianjin-Hebei

课题项目：国家社科基金项目“城市建设与城市病治理”（编号：12CRK022）;北京高等学校青年英才计划项目“大都市区空间正义协调度和实现机制研究”（编号：YETP1322）.

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  本文关键词：大北京人口分布格局与多中心性测度，，由笔耕文化传播整理发布。