中国城市群空间结构的稳定性分析
收稿日期: 2006-03-07
修回日期: 2006-10-19
网络出版日期: 2006-12-25
基金资助
国家自然科学基金重点项目 (40335049); 国家自然科学基金项目 (40471059)
Spatial Structure Stability of Urban Agglomerations in China
Received date: 2006-03-07
Revised date: 2006-10-19
Online published: 2006-12-25
Supported by
National Natural Science Foundation of China, No.40335049; No.40471059
应用中心地理论，引入中心性指数和分形网络维数等方法以及GIS格网化技术，按照交通原则，即K ＝4作为参照系，采用2004年基础数据，对由160个地级市和700多个县级市构成的28个城市群及其空间结构的稳定性进行了定量测度。结果显示：① 中心性指数越大的城市群，其空间结构稳定性越强;② 中心性指数越大，与中心地结构相似性程度越高，空间稳定性越强;③ 网络维数越大，城市群空间结构稳定性越强;④ 点列数越长的城市群空间结构稳定性越强;⑤ 依据中心性指数大小，可将中国城市群划分为单核分割型、单核偏离型、单核集中型、双核平衡型和双核偏离型共5大类型;⑥ 根据半升梯形模糊隶属度函数模拟结果，将中国城市群空间结构稳定性划分为强稳定型、较强稳定型、中等稳定型、弱稳定型和不稳定型共5个等级;⑦ 根据不同等级的城市群个数，认为中国城市群空间结构的稳定性相对较差。本文最后提出了技术应用、参数选择等方面存在的问题以及未来研究的重点。
宋吉涛, 方创琳,宋敦江 . 中国城市群空间结构的稳定性分析[J]. 地理学报, 2006 , 61(12) : 1311 -1325 . DOI: 10.11821/xb200612008
This paper brings forward the concept for the first time based on central place theory and fractal theory by creating the model of centricity exponent firstly, and then integrates centricity exponent and fractal dimension with each other to measure the stability. Before the assessment, we select K = 4 as a parameter to calculate centricity exponent and fractal dimension, and suppose that it is right to select central place system as the frame of reference. The Result shows that spatial structure stability is in direct proportion with the value of central index, the number of nodes, the value of network dimension, and comparability of urban agglomerations' spatial structure with that of central place structure system. We classify urban agglomerations in China into five types according to the value of centricity exponent and the spatial contact direction, and then divide the level of stability into five grades according to the value of semi-trapezoid fuzzy membership function. According to the number of urban agglomerations in different grades of stability, we find that the degree of spatial structure stability is low for urban agglomerations in China on the whole. This study is valuable to promote the development and exertion of spatial operation efficiency for urban agglomerations following on reasonable spatial allocation of nodes.
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