中原经济区城市间相互作用时空格局演变研究

将中原经济区30个省辖市市区作为研究对象,按照由“线”→“点”→“面”的分析思路,运用引力模型、潜能模型与潜能得分模型、经济隶属度模型等各种模型,定量分析1990~2010年间中原经济区城市间相互作用时空格局的演变过程与特征。结果表明：城市间相互作用强度的时空差异明显。“线”层次上,城市间的引力和城市联结线数目的增多,逐渐形成辐射网络,引力和联结线数目的变化存在时空差异性。“点”层次上,通过“线-点”叠加分析,城市最大联结线数目增多和城市潜能等级提升的时空差异性明显。而且1990~2010年间各个城市潜能等级跃迁的时空差异明显。“面”层次上,近20多年来,区域中心城市没有变化,但4个中心城市的腹地变化明显,核心组团——郑州组团1990~2000年北扩,2000~2010年东扩;1990~2010年,潜能高值区域的空间收缩也表现出阶段性特征。

Spatio-temporal Pattern Evolution of the Interaction Among the Cities in Central Plains Economic Zone

Central Plains Economic Zone (CPEZ) is an important strong point in the regional economic development of China. Studies on the interaction strength among the regional cities are conducive to the analysis of cities’ economic connection degree. More importantly than all of that, this study is of great significance for urban spatial structure, spatial structural optimization of urban economy, and the development of the economic CPEZ zone. This article selected 30 provincially-administered cities from CEPZ zone to conduct analysis of Gravity Model, Potential Model, Potential Scores, and Membership Model. The the evolution process and the characteristic of the interactional spatio-temporal pattern of CEPZ cities for two decades (1990-2010) were investigated by the analysis strategy of “Line ? Point ? Surface”. Gravitational forces among different cities were calculated and symbolized into varied lines on the base of size of statistic data. Thickness of the lines represents the connection characteristics between any two cities from CEPZ. Then, the potential capability of each city was figured out by using symbolized point to identify the potential grade of each city. The symbolized point and maximum gravity joint line were linked to show the connection characteristics. Finally, seven cities were chosen to play candidate regional central role. We calculated the economic membership of the seven candidate cities. The first results of economic membership were used to select regional central cities. At the same time, the spatial dimensions were determined for each candidate city. Kriging spatial interpolation was also applied in this study to express the standardized values in spatial pattern, which is based on the potential score from each city’s economic capacity. The result shows that significant spatio-temporal differences occurred among the CPEZ cities. In “Line” level, the gravitational force has been enhanced and the count of join lines among the cities has been increased, where network structure appeared. We found that the variation of gravitational force is closely related to the count of joint lines. The same spatial pattern was observed in both of the variables. In “Point” level, “Lines” were stacked with points to perform the analysis. We also found the maximum joint line increased when the temporal-spatial difference occurred in city potential capacity. During the past two decades, the spatio-temporal differences varied significantly between selected cities. In “Surface” level, there is no change in regional central city. The other four cities, however, bear a significant change in hinterlands. Core Group—Zhengzhou Group extended in north direction in the first 10 years (1990-2000). It extended again in second 10 years (2000-2010) for eastern side. We also observed periodic characteristics of spatial shrink in the areas of high potential grade from 2000 to 2010.