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从流动空间角度出发,建立基于关系测度的空间耦合模型,采用复杂网络分析方法和灰色关联分析方法深入探讨区域信息空间和人口空间的耦合格局。研究发现信息空间和人口空间的耦合网络呈现“核心-边缘”模式,北京、上海、广东、天津、新疆和甘肃等耦合核心省市在整个省市内占据主导地位,是其他省市耦合发展所依附的核心。全国省市信息空间和人口空间耦合分布的总体布局呈现“川”型特征,分为高耦合协调型、中耦合磨合型以及低耦合发展型。信息空间和人口空间的耦合主要分为高耦合协调型、中耦合磨合型以及低耦合发展型3种,其中空间的高耦合程度一方面响应了国家加快推进互联互通建设的发展战略,另一方面也是京津冀一体化以及建设丝绸之路经济带的必然结果。
From the perspective of flow space, a spatial coupling model based on relational measure is established. The complex network analysis method and gray relational analysis method are used to explore the coupling pattern of regional information space and population space. The study found that the coupled network of information space and population space presented a “core-periphery ” model. Coupling core cities and provinces such as Beijing, Shanghai, Guangdong, Tianjin, Xinjiang and Gansu dominated the entire province and municipality, Development depends on the core. The overall layout of the spatial distribution of spatial distribution of population in cities and provinces in China shows the characteristics of “Chuan ” type and is divided into high-coupling and medium-coupling type and low-coupling type. The coupling of information space and population space is mainly divided into three types: high-coupling coordination type, medium-coupling type and low-coupling development type. The high coupling degree of space responds to the development strategy of the country to speed up the construction of interconnection and exchange, on the one hand, It is also the inevitable result of the integration of Beijing, Tianjin and Hebei and the construction of the Silk Road Economic Belt.