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国家物流枢纽城市物流空间联系及其网络特征分析

Spatial Connection and Network Characteristics of National Logistics Hub Cities
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摘要 为深入研究国家物流枢纽城市物流空间联系网络的结构特征,基于110个国家物流枢纽城市数据,采用修正引力模型、社会网络分析法对枢纽城市间的物流空间联系及其网络特征进行分析。结果发现,全国、各区域的枢纽城市物流空间联系网络密度普遍较低,说明枢纽城市间的物流联系尚不够紧密;度中心度较高的枢纽城市也是中介中心度排名靠前的城市,这些城市成为全国或区域内物流资源的辐射极,带动其他枢纽城市联动发展;网络在空间上呈现“核心-半核心-边缘”结构,“轴辐式”层级结构明显;枢纽城市群集特征明显,共分为8大子群,但子群间的互动不明显;上海、北京、深圳、广州等物流城市具有网络结构洞优势,秦皇岛、南通、嘉兴等枢纽城市则相反。 To further study the structural characteristics of logistics spatial connection networks in national logistics hub cities,this paper first analyzed the relevant data of 110 national logistics hub cities.Then the paper utilized the modified gravity model and social network analysis method to analyze the logistics spatial connection between hub cities and the network characteristics.The results are as follows.①The density of logistics spatial connection networks is generally low in national logistics hub cities in China and all regions,indicating that the freight connection between hub cities is not close enough.②Hub cities with a high degree of centrality are also the cities with the highest ranking of intermediary centrality.These cities become the radiation poles of freight and logistics resources in the country or region and drive the joint development of other hub cities.③The network presents a“core-semi-core-edge”structure in space,and the hub-and-spoke hierarchical structure is evident.④The cluster characteristics of hub cities are obvious,which can be divided into 8 subgroups,whereas the interaction between subgroups is not apparent.⑤Shanghai,Beijing,Shenzhen,Guangzhou,and other logistics cities have the advantage of being located in the network structure hole,while Qinhuangdao,Baoding,Datong,and other hub cities do not have the advantage.
作者 项寅 XIANG Yin(School of Business,University of Science and Technology of Suzhou,Suzhou 215009,Jiangsu,China)
出处 《铁道运输与经济》 北大核心 2024年第4期34-41,共8页 Railway Transport and Economy
基金 教育部人文社会科学基金项目(21YJC630141)。
关键词 国家物流枢纽 物流空间 网络联系 修正引力模型 社会网络分析 National Logistics Hub Logistics Space Network Connection Modified Gravity Model Social Network Analysis
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