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中国城市场强格局演化及空间自相关特征 被引量:39

The spatio-temporal evolution of urban field strength and pattern of autocorrelation among cities in China
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摘要 将城市场强与空间自相关结合起来,研究中国661个城市辐射场强和城市间的互动关联强度。从场强看,北京、上海、广州等超大城市辐射作用增长迅速,已形成全国性的辐射圈层结构;围绕沿海特大城市及武汉、郑州、重庆、成都等中西部的区域中心城市,已具备孵化若干区域级城市群的城市化土壤;在地区尺度范围,全国大量地区性中心城市所形成的辐射场强,则培育了都市区发育的城市化土壤。从互动关联强度看,沿海地区城市间相互作用和互动关联性明显高于内陆地区,不仅促进了珠三角、长三角、环渤海等超级城市群的日趋成熟,而且推动辽中南、山东半岛等次级城市群发展壮大。然而,内陆地区大部分城市目前还处于相对孤立发展状态,城市间互动关联性较弱,城市群发育潜力尚未得到真正激发。 According to GDP (without agriculture) data of all the 661 cities in China, this paper integrates the methods of spatial autocorrelation and urban field strength, and analy- zes the space-time evolution of urban field strength and spatial autocorrelation. It is con- cluded that huge cities such as Beijing and Shanghai, have formed the circle structure of urban influence on the whole country. More mega cities have regional-wide influence, such as Wuhan, Zhengzhou, Chongqing and Chengdu. Many big cities only have local-wide in- fluence, and are forming a multi-center structure. Cities in coastal areas have much greater influences than those in inland areas. Besides, there are significant connections and inter- actions among cities in large megalopolises. The largest three megalopolises or urban ag- glomerations, i. e. , Pearl River Delta, Yangtze Ri.ver Delta and Beijing-Tianjin-Hebei re- gion, have developed rapidly. The regional patterns of urban agglomerations, such as southern Liaoning and Shandong Peninsula, have already emerged. However, there are weaker correlations among the cities in inland areas which are in independent status. Al- though the patterns of influence of cities in China varied slowly, great changes have taken place. With the booming economy, the regions affected by urban expansion have accelerated the development of related urban agglomerations.
出处 《地理研究》 CSSCI CSCD 北大核心 2012年第8期1355-1364,共10页 Geographical Research
基金 国家"十二五"科技支撑计划课题(2012BAJ15B01)
关键词 空间自相关 城市作用场强 距离摩擦系数 城市群 spatial autocorrelation urban field strength distance friction coefficient urban agglomeration
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