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城市群多维网络空间结构特征及影响因素--以中国五大城市群为例 被引量:1

The spatial structure characteristics and influencing factors of urban multi-dimensional network:taking the five major urban agglomerations in China as an example
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摘要 立足区域多维联系的网络视角,建立了多维网络空间结构的理论分析框架,对我国五大城市群多维网络空间结构、关联特征、影响因素进行深入研究.结果表明:1)在网络空间结构方面,五大城市群多维网络具有明显的极核特征,层级结构比较显著,网络联系强度呈现明显的地理衰减规律;2)在网络整体结构方面,城市多维网络呈现出多线程、多城市、跨区域的网络分布态势,具有显著的“局域网”和小世界特征,网络联系的稳定性和叠加效应还需加强;3)在网络中心性方面,五大城市群信息联系网络的外向程度中心性>高铁联系>科技联系>资金联系,高铁联系的内向程度>科技联系>资金联系>信息联系;4)在网络相似性方面,五大城市群多维网络整体呈现明显的正向相关关系,不同城市群与不同维度网络间的关联强度具有一定的差异;5)在影响因素方面,五大城市群多维网络均不同程度受地理空间、经济差异、制度差异、认知差异的影响,影响因素的显著性和作用大小表现出较大的区域异质性. Based on the network perspective of regional multi-dimensional networks,the theoretical analysis framework of multi-dimensional cyberspace structure was established,and the multi-dimensional cyberspace structure,correlation characteristics and influencing factors of China's five major urban agglomerations were deeply studied.The results are shown as follows.1)In terms of the network spatial structure,the multi-dimensional network of the five major urban agglomerations has obvious polar core characteristics and relatively significant hierarchical structure,with the network connection strength presenting a clear geographical attenuation law.2)In terms of the overall network structure,the urban multi-dimensional network exhibits a multi thread,multi city and cross regional network distribution pattern,with significant“local area network”and small world characteristics.The stability and superposition effect of network connections need to be strengthened.3)In terms of network centrality,the outward degree centrality of information contact network of the five urban agglomerations>high-speed rail links>Science and technology links>capital links,and the inward degree of high-speed rail links>Science and technology links>capital links>information links.4)In terms of network similarity,the overrall multidimensional networks of the five major urban agglomerations show significantpositive correlation,and the correlation strength between different urban agglomerations and different dimensional networks has certain differences.5)In terms of influencing factors,the multi-dimensional networks of the five major urban agglomerations are affected by geographical space,economic differences,institutional differences and cognitive differences to varying degrees.The significance and role of influencing factors show considerable regional heterogeneity.
作者 陈刚 王光辉 刘勇 吴清 CHENG Gang;WANG Guanghui;LIU Yong;WU Qing(Institute of Sustainable Development,Macao University of Science and Technology,Macao 999078,China;Institutes of Science and Development,Chinese Academy of Sciences,Beijing 100190,China;Policy Research Center,Housing and Urban-Rural Development,Beijing 100835,China;Tourism and Historical Culture College,Zhaoqing University,Zhaoqing 526061,Guangdong,China)
出处 《华中师范大学学报(自然科学版)》 CAS CSCD 北大核心 2023年第3期423-433,共11页 Journal of Central China Normal University:Natural Sciences
基金 国家自然科学基金项目(71974182,72163010)。
关键词 城市群 多维联系 网络关联 空间结构 QAP回归 urban agglomeration multi-dimensional connection spatial structure network connection QAP regression
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