摘要
基于百度指数、里程数据及论文合著数据等多元数据,构建多重城市网络,采用社会网络分析法探究2011—2019年长江中游城市群多重城市网络结构的演变特征,并运用QAP模型分析其影响因素。研究发现:(1)2011—2019年长江中游城市群多重网络密度均小于0.5,但城市之间的联系逐渐密切,此外,各网络的“小世界”特征明显,城市节点的等级结构符合位序-规模分布特征;(2)多重网络结构存在显著差异,信息网络核心骨架未发生明显变化,经济网络骨架逐渐明显,交通网络逐渐呈现出“工”字形结构,创新网络趋向扁平化、复杂化;(3)多重城市网络城市节点的中心性具有较为明显的差异性特征,武汉、长沙、南昌的网络枢纽地位较为稳定;长江中游城市群形成4个凝聚子群,城市间联系以子群间关联为主;(4)多重网络之间具有较强的相似性及差异性,空间邻近、行政关系、经济发展水平及政策干预强度等因素对多重网络结构产生不同程度的显著影响。
Based on multivariate data such as the Baidu index,mileage data,and co-authored paper data,a multi-city network was constructed,then social network analysis was used to explore the evolution characteristics of multi-city network structure in the middle reaches of the Yangtze River from 2011 to 2019,and the QAP model was used to analyze its influencing factors.The results show that:(1)The density of multiple networks in the middle reaches of the Yangtze River from 2011 to 2019 is less than 0.5,but the relationship between cities has gradually becoming closer.In addition,the"small world"characteristisc of each network is obvious,and the hierarchical structure of urban nodes conforms to the rank-size distribution characteristics.(2)The diversity of multiple network structures is obvious,the core skeleton of the information network has not changed significantly,while the change of the economic network skeleton is obvious,the traffic network gradually presents an H-shaped structure,and the innovation network tends to be flat and complex.(3)The centrality of city nodes in the multi-city network has obvious differences.Wuhan,Changsha,and Nanchang are stable network hubs,and the urban agglomeration in the middle reaches of the Yangtze River forms four condensed subgroups,which are mainly related within subgroups.(4)There are strong similarities and differences among multiple networks.Spatial proximity,administrative relationship,level of economic development,and intensity of policy intervention have significant effects on the structure of multiple networks to different degrees.
作者
刘贺
李雪铭
宫一路
LIU He;LI Xueming;GONG Yilu(School of Geography,Liaoning Normal University,Dalian 116029,China;Human Settlements Research Center,Liaoning Normal University,Dalian 116029,China;School of Art and Design,Dalian Polytechnic University,Dalian 116034,China)
出处
《世界地理研究》
CSSCI
北大核心
2024年第10期100-115,共16页
World Regional Studies
基金
国家自然科学基金项目(41671158)。
关键词
多重城市网络
社会网络分析
QAP模型
影响因素
长江中游城市群
多元要素流
multi-city network
social network analysis
QAP model
influencing factors
urban agglomeration in the middle reaches of the Yangtze River
