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从时间和空间尺度分析中原经济区经济极化过程和极化空间格局演变,时间尺度运用ER指数和T-W指数对中原经济区30个地级市(省管市)在1990-2013年的极化过程进行了探讨,从整体上把握中原经济区经济极化过程;空间尺度选取1990、2000和2013年3个典型年份,运用引力模型为基础的空间极化指数分析了其空间极化格局的分布演变规律.研究发现:(1)中原经济区经济极化现象在1990-2013年间呈现出波动阶段(1990-1996年)、上升阶段(1996-2008年)和下降阶段(2008-2013年)三个阶段;(2)中原经济区内部差异明显,仅极化外延区的城市个数比例占到中原经济区城市的半数以上,且空间极化指数相对也很低;(3)极化空间分布上,中原经济区极化核心区、极化内缘区和极化过渡区主要交错分布在京广线上,而数量众多的极化外延区大多分布在主要交通干线之外;(4)在空间构成上,中原经济区极化空间格局经历了从单中心圈层、双中心雏形阶段到双中心发展阶段,经历了从简单到复杂,从低级到高级的过程.最后在此基础上,提出了中原经济区的优化对策.
From the time and space scales, the economic polarization and the evolution of spatial polarization in the Central Plains Economic Zone were analyzed. The ER and TW indices were used to analyze the polarization of the Central Plains economic zone from 1990 to 2013 The process of economic development in the Central Plains Economic Zone was discussed, and the economic polarization process in the Central Plains Economic Zone was grasped as a whole. The spatial scale was used to select three typical years in 1990, 2000 and 2013, and the spatial polarization index was analyzed based on the gravitational index (1990-1996), the period of rising (1996-2008) and the period of decline (2008-2013), the period of rising (1996-2008) and the period of decline (2) Significant differences within the Central Plains Economic Zone, the proportion of the number of cities with polarization only accounted for more than half of the cities in the Central Plains Economic Zone, and relatively low spatial polarization index; (3) The spatial distribution of polarization In the Central Plains Economic Zone, the polarization core region, the polarization inner margin region and the polarization transition region are mainly distributed on the Beijing-Guangzhou line while the large number of polarization epitaxial regions are mostly located outside the main traffic trunk line. (4) Spatial composition, the Central Plains Economic Zone polarization empty Pattern evolved from a single center circle, two-center two-prototype stage to the center stage of development, has experienced a process from simple to complex, from lower to higher. Finally, on this basis, we put forward countermeasures to optimize the central zone.