长江流域资源与环境 >> 2023, Vol. 32 >> Issue (1): 24-39.doi: 10.11870/cjlyzyyhj202301003

• 区域可持续发展 • 上一篇    下一篇

长三角地区城市经济网络的时空演化特征

蒋金亮1,2,鲁嘉颐3,戈大专4,孙东琪5*   

  1. (1. 南京大学社会学院,江苏 南京 210093;2. 江苏省规划设计集团,江苏 南京 210019;3. 比利时荷语鲁汶大学公共治理研究所,鲁汶 3000;4. 南京师范大学地理科学学院 江苏省地理信息资源开发与利用协同创新中心,江苏 南京 210023;5. 中国科学院地理科学与资源研究所, 北京 100101)
  • 出版日期:2023-01-20 发布日期:2023-03-09

Research on Spatial-temporal Evolution Characteristics of Urban Economic Networks in Yangtze River Delta

JIANG Jin-liang1,2,LU  Jia-yi3,GE Da-zhuan4,SUN Dong-qi5   

  1. (1. School of Social and Behavioral, Nanjing University, Nanjing 210093; 2. Jiangsu Provincial Planning and Design Group, Nanjing 210019, China; 3. Public Governance Institute, KU Leuven, Leuven 3000, Belgium; 4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, School of Geography, Nanjing Normal University, Nanjing 210023, China; 5. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)
  • Online:2023-01-20 Published:2023-03-09

摘要: 流空间成为城市群空间结构研究重要内容,而如何识别城市群流空间结构特征,揭示其对城市群实体空间的影响,是当前城市群空间结构研究的重点及难点问题。采用1992、2001、2010、2019年企业异地投资数据,构建长三角地区城市联系网络,借助复杂网络分析、K-means聚类等分析方法,探究区域经济网络整体特征演变,分析网络空间组织结构演化规律。结果显示:(1)1992~2019年长三角地区城市联系强度大幅提升,城市节点的重要性和影响力的离散和不均衡程度在不断缩小。城市经济网络“小世界”特性逐渐显著,无标度特性在逐渐弱化。(2)长三角地区城市经济网络从早期的“V型”结构转向核心城市相互连接的多边形网络结构;网络联系从核心城市间相互联系向外拓展至核心城市与其周边相邻城市之间的联系,空间邻近性网络联系特征开始显现;网络体系中参与城市从核心城市逐步扩展至全域,南京、杭州、合肥等核心城市形成相对独立的对外辐射网络体系。(3)长三角地区城市等级体系已经形成金字塔结构,以上海市为核心城市地位最为突出;杭州、南京影响力次之;宁波、合肥、绍兴、苏州、无锡、嘉兴等城市再次之。(4)长三角城市经济网络的发展演化从初始发育阶段、等级化阶段逐步走向网络化阶段。

Abstract: Flow space has become an important content in the study of urban agglomeration spatial structure, and how to identify the characteristics of urban agglomeration flow space structure and reveal its impact on the physical space of urban agglomerations is the focus and difficulty of current urban agglomeration spatial structure research. This paper uses the data of enterprises’ off-site investment in 1992, 2001, 2010, and 2019 to construct a city connection network in the Yangtze River Delta. With the help of complex network analysis, K-means clustering and other analysis methods, it explores the evolution of the overall characteristics of the regional economic network and analyzes the evolution law of the network spatial organization structure. The results show that: (1)From 1992 to 2019, the intensity of urban connection in the Yangtze River Delta has increased significantly, and the degree of dispersion and imbalance in the importance and influence of urban nodes has been shrinking. The urban economic networks features small-world network properties more prominently, and the scale-free characteristics are gradually weakening. (2)The urban economic network in the Yangtze River Delta has changed from “V-shaped” structure to the polygonal network structure of interconnected core cities; the network connection has expanded from the interconnection among core cities to the connection among the core city and its surrounding neighboring cities. Spatial proximity network connection features begin to emerge; the participating cities in the network system gradually expanded from core cities to the whole region, and core cities such as Nanjing, Hangzhou, and Hefei formed a relatively independent external radiation network system. (3)The urban hierarchy in the Yangtze River Delta has formed a pyramid structure, with Shanghai as the core city being the most prominent; Hangzhou and Nanjing are the second; Ningbo, Hefei, Shaoxing, Suzhou, Wuxi, Jiaxing and other cities are the third. (4)The development and evolution of the urban economic network in the Yangtze River Delta has gradually moved from the initial development stage and the hierarchical stage to the network stage.

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