中国区域信息空间和人口空间的耦合关联分析

doi:10.13249/j.cnki.sgs.2016.10.004

摘要/Abstract

摘要：

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。

关键词: 信息空间, 人口空间, 耦合, 复杂网络, 灰色关联分析

Abstract:

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.

Key words: information space, population space, coupling, complex networks, grey relational analysis

中图分类号:

F119.9

王宁宁, 陈锐, 赵宇, 钟少颖. 中国区域信息空间和人口空间的耦合关联分析[J]. 地理科学, 2016, 36(10): 1474-1484.

Wang Ningning, Chen Rui, Zhao Yu, Zhong Shaoying. Grey Associative Analysis of Regional Population Space and Information Space Coupling in China[J]. SCIENTIA GEOGRAPHICA SINICA, 2016, 36(10): 1474-1484.

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省市	度值	省市	度值
上海	56.168	甘肃	41.126
北京	54.242	山东	40.922
西藏	51.357	河北	40.686
广东	49.737	内蒙古	39.521
天津	49.694	云南	38.951
新疆	49.193	宁夏	38.662
浙江	48.902	贵州	38.011
海南	46.827	陕西	37.851
江苏	46.640	安徽	37.769
黑龙江	46.443	江西	37.368
吉林	45.666	湖北	37.044
辽宁	44.804	广西	36.678
福建	44.667	河南	36.347
青海	44.595	四川	35.056
山西	42.982	湖南	34.590
重庆	42.255

耦合场	省市
场1	河北内蒙古甘肃山西吉林青海
场2	广东浙江
场3	陕西河南安徽山东海南
场4	宁夏黑龙江福建
场5	西藏辽宁新疆江西湖南
场6	江苏重庆湖北
场7	云南贵州广西上海天津四川北京

耦合场	方差
场1	487935.4
场2	268951.7
场3	654872.6
场4	536987.4
场5	793687.5
场6	236894.3
场7	836972.7

	交通网络矩阵	耦合网络矩阵
交通网络矩阵	1.0000	0.3965
耦合网络矩阵	0.3965	1.0000

省市	区域耦合度	省市	区域耦合度
江苏	0.40623467	重庆	0.31668221
黑龙江	0.40145984	贵州	0.31323327
广东	0.39560877	浙江	0.30891431
新疆	0.38013814	河南	0.30636863
上海	0.37715687	江西	0.30013281
天津	0.36111921	海南	0.29777421
河北	0.3584816	安徽	0.29669868
北京	0.35448066	宁夏	0.29483956
甘肃	0.34934853	广西	0.29452777
山东	0.34925507	福建	0.28934689
山西	0.33474954	内蒙古	0.28196922
辽宁	0.33299472	陕西	0.27392059
吉林	0.3284043	四川	0.26077007
西藏	0.32410597	湖北	0.2589193
云南	0.3195586	湖南	0.21457016
青海	0.31823582