中国区域信息空间和人口空间的耦合关联分析

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。

Grey Associative Analysis of Regional Population Space and Information Space Coupling in China

In the context of informatization, the information system and the population system interact with each other, and the information elements and the demographic factors affect the regional development more and more deeply. Therefor the study on the coupling of information space and population space could provide the government departments with scientific decision for regional development layout. From the perspective of the flow space, a spatial coupling model based on relations measurement is established in this paper. What’s more, complex network analysis and gray correlation analysis are used to discuss the characteristics of the coupling and coupling pattern. The results show that the coupling network of the population space and information space presents "core - periphery" model. As central provinces, Beijing, Shanghai, Guangdong, Tianjin, Xinjiang and Gansu provinces dominate in all provinces, which are attached cores of the other provinces. On the one hand, a coupling degree responses to the national strategy of interoperability, on the other hand it is the inevitable result of the integration of Beijing, Tianjin, and construction of the Silk Road economic belt. All the provinces are divided high coupling coordination group, running coupling group and low coupling development group.