基于分形理论的滇中城市群空间结构识别研究

Wenzheng Yang, J. Ma, Yujun Pan, Meilin Li
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摘要

本文以滇中城市群为研究对象,运用分形理论和分形维数方法,包括聚集维数、网格维数和关联维数。利用ArcGIS和百度地图API大数据平台计算分形维数,识别城市体系的空间结构。在这项研究中有一些发现。首先,以昆明为中心的滇中城市群密度呈下降趋势。城市体系在区域覆盖上存在大量空白,城市群空间发展潜力巨大。②容量维度远大于信息维度,表明云南高山平坝地形制约了滇中城市群的空间分布,城市群仍处于初级发展阶段;③“牛-乌鸦”维度普遍较低,表明滇中城市群受地形、水系等自然因素的限制。交通关联度有待提高。本研究为滇中城市群的健康有序发展提供参考,可从集聚度、均衡度和关联度三个维度来识别城市群的空间结构。
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Study on Spatial Structure Identification of Urban Agglomeration in Central Yunnan Province Based on Fractal Theory
This paper took urban agglomeration in the middle of Yunnan Province as a research object, using fractal theory and fractal dimension methods, including aggregation dimension, grid dimension and correlation dimension. ArcGIS and the big data platform of Baidu-Map API were also used to calculate fractal dimension, in order to identify the spatial structure of urban system. There are some findings discovered in this study. Firstly, the density of urban agglomeration in the middle of Yunnan Province is decreasing while taking Kunming as the center. The urban system has a large number of blanks in the coverage of the region, and the potential spatial development of urban agglomeration is huge. Secondly, the capacity dimension is much larger than the information dimension, which shows that the topography of Yunnan High-mountain and Flat-dam restricts the spatial distribution of the urban agglomeration in central Yunnan Province, and the urban agglomeration is still in the primary stage of development. Thirdly, the cow-crow dimension is generally low, showing that the urban agglomeration in central Yunnan Province is limited by natural factors such as topography and water system. The level of traffic correlation needs to be improved. This study provides a reference for the healthy and orderly development of the urban agglomeration in central Yunnan Province, from the degree of aggregation, equilibrium and correlation to identify the spatial structure of urban agglomeration.
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