成渝地区双城经济圈多维城市网络特征及其影响机制

Characteristics and Influence Mechanism of Multi-dimensional Urban Network of Chengdu-Chongqing Circle

针对城市群内部要素流动日益多维化、复杂化的特征,基于有向多值视角,采用资金、高铁、专利、信息的多元流数据构建成渝地区双城经济圈多维城市网络,运用社会网络分析法对4类网络结构特征及差异进行分析,并进一步探析网络结构的影响机制。研究结果表明:(1)信息和铁路要素对成渝地区双城经济圈相互作用明显,网络联系相对紧密,而资金和专利网络发育水平较低;(2)成都在4类网络中的核心地位凸显,具有很强的集聚能力,重庆与成都双城互动频繁,呈现明显的“群岛型经济互动”现象;(3)双城经济圈内小团体现象明显,三级层面形成了6~7个凝聚子群,且各类网络的凝聚子群差异显著,网络相似性系数呈现出铁路—信息高于铁路—专利,高于专利—信息,高于资金—铁路,高于资金—信息,高于资金—专利的排列特征;(4)时间距离、城市等级、政府合作是城市多维网络产生共性的主要原因,经济规模、地理距离、行业结构是多维网络产生差异性的主要原因。

In response to the increasingly multi-dimensional and complex flow of elements within urban agglomerations,based on a directed multi-value perspective,a multi-dimensional urban network of the Chengdu-Chongqing dual city economic circle was constructed using data from multiple flows of funds,high-speed rail,patents,and information.The social network analysis method was used to analyze the structural characteristics and differences of the four types of networks,and the impact mechanism of network structure was further explored.The research results are as follows.(1) The interaction between information and railway elements is obvious in the Chengdu-Chongqing dual city economic circle,with relatively close network connections,while the development level of funding and patent networks is relatively low.(2) Chengdu's core position in the four types of networks is prominent,with strong agglomeration capabilities.The interaction between Chongqing and Chengdu is frequent,presenting a clear phenomenon of “archipelagic economic interaction”.(3) The phenomenon of small groups within the dual city economic circle is obvious,with 6~7 agglomerated subgroups formed at the tertiary level,and the differences in agglomerated subgroups of various networks are significant.The network similarity coefficient shows an order of railway-information,railway-patent,patent-information,fund-railway,fund-information and fund-patent.(4) Time distance,city level,and government cooperation are the main reasons for the commonality of multi-dimensional urban networks,while economic scale,geographical distance,and industry structure are the main reasons for the differences in multi-dimensional networks.