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基于EDSA-GIS的广州市人口空间分布演化研究 被引量:38

EVOLUTIONAL TRENDS OF POPULATION SPATIAL DISTRIBUTION STRUCTURE IN GUANGZHOU BASED ON EDSA- GIS TECHNIQUE
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摘要 利用EDSA-GIS空间自相关分析技术,分析改革开放以来广州市人口空间分布及其演化。总体来看,广州市总人口和户籍人口密度的空间集聚日趋明显,呈现出较典型的"高高集聚、低低集聚"分布规律,并在中心城区外围地区逐步形成多个次中心,多核心空间结构日渐成熟,但中心城区的"人户分离"现象明显。广州市在以大型居住区建设为先导的人口郊区化过程中,更应注重郊区,尤其是近郊区的教育、医疗等配套设施建设,以减少中心城区人户分离现象及中心城区与郊区的交通需求。外来人口空间分布也呈现较明显的多核心分布结构,形成了中心城区较高密度的、相对均匀化的空间集聚和中心城区外围高密度的局部集聚的空间分布格局。 Based on technique of spatial auto-correlation in ESDA-GIS, spatial distribution structure and its evolutional trends of total population, local population and floating population in Guangzhou since reform are analyzed. R is approved that spatial concentrations of density of total population and local population with more and more obvious characteristics that statistic units with high values tends to concentrated and the same as low values. Multi-core spatial distribution structures of total population and local population are becoming more mature with several subcores distributing in outer boundary of central city. The separation of residential place and hukou place (ren hu fen li) is becoming obvious in central city. During the precess of population suburbanization with large scale of real estate developments as pioneers, large scale of construction of infrastructures of education and healthy etc. In suburban, especially the outer boundary of central city to decrease the extent of separation of residential place and hukou place and traffic demand between central city and suburban, should be strengthened. Multi-core spatial distributional structure of floating population has also been formed with the obvious spatial distribution pattern of relatively high density and homogenization of spatial concentration in central city and higher density of locally spatial concentration of outer boundary of central city.
出处 《经济地理》 CSSCI 北大核心 2010年第1期34-39,共6页 Economic Geography
基金 教育部人文社科项目(编号:09YJC840016) 香港浸会大学基金项目(编号:HKBU2080/99H)联合资助
关键词 人口空间集聚 Moran's I检验 G^*统计 广州 population spatial concentration Moran's I index G^* statistic Guangzhou
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