地理科学进展 ›› 2012, Vol. 31 ›› Issue (12): 1656-1667.doi: 10.11820/dlkxjz.2012.12.011

• 区位与区域发展 • 上一篇    下一篇

区域城市规模与网络中心性的关系分析——基于山东省基本部门链接网络的讨论

柴箐, 王茂军, 许洁   

  1. 首都师范大学资源环境与旅游学院, 北京100048
  • 收稿日期:2012-05-01 修回日期:2012-08-01 出版日期:2012-12-25 发布日期:2012-12-25
  • 通讯作者: 王茂军(1973-),男,博士,教授,主要从事城市地理研究。E-mail:maojunw@yeah.net E-mail:maojunw@yeah.net
  • 作者简介:柴箐(1988-),女,硕士研究生,研究方向为城市网络。E-mail:Chaiqingcnu@gmail.com
  • 基金资助:

    国家自然科学基金项目(41071112);教育部人文社会科学研究规划基金项目(09YJAZH057)。

The Relationship Between a City’s Size and Its Centrality in the Regional City Network: A Case Study of the City Network by Linkage of Basic Sectors in Shandong Province

CHAI Qing, WANG Maojun, XU Jie   

  1. Resource Environment and Tourism College, Capital Normal University, Beijing 100048, China
  • Received:2012-05-01 Revised:2012-08-01 Online:2012-12-25 Published:2012-12-25

摘要: 城市规模的影响因素是城市体系研究的重要课题。本文从城市网络视角出发讨论城市规模的影响因素, 基于经济基础理论模型, 利用2007 年山东省投入产出基础数据, 构建城市基本部门链接网络, 讨论了城市的网络中心性与城市规模分布、空间特征及相互关系。结论如下:①山东省基本部门链网为高密度、多中心网络, 每个城市既是其他城市的链接机会, 也是链接约束;②城市的网络中心性呈线性分布, 无明显分层, 中、低等层次的城市较多;③城市人口规模呈幂率分布, 存在明显分层, 高位次城市城口规模突出, 中、低位次城市规模减少趋缓, 且基本连续;④网络中心性与人口规模大致呈现线性正相关关系, 尤其是人口规模大于50 万的城市, 其正向关系更为显著, 表明城市在基本部门链接网络的权力地位越高, 经济联系链接的城市越广泛, 对于城市人口规模的影响越积极。

关键词: 城市人口规模, 城市网络, 基本部门, 山东省, 网络中心性

Abstract: The factors that influence a city’s size are the important topics in the study of city networks. Based on a basic economic model, and using a series of tables showing the basic input-output economic data in Shandong province, this paper creates a city network by linkage of basic sectors, discusses the cities’centrality levels in the network and the spatial distribution and characteristics of the cities’sizes, and analyzes the correlation between the size and centrality level. The conclusions are as follows: (1) the city network by linkage of basic sectors in Shandong province is a high density and multi-centered network. Each city serves as an opportunity and also constrain of the linkage to other cities. (2) the cities’centrality levels in the network shows a liner distribution without an obvious hierarchy, with majority of the cities at middle and low levels. (3) the cities’population sizes show a power-law distribution with a clear hierarchy. The populations of high level cities are dominantly large, and there is a dramatic drop in sizes from high to middle and low level cities where the population sizes continue to drop by gradually smaller decreases. (4) the cities’centrality levels in the city network are positively correlated to their population sizes, especially more striking for the cities with population sizes over 500,000, indicating that in the city network by linkage of basic sectors, more powerful a city is and more economic links the city has, more positive effects there are on the city’s population size.

Key words: city network, network centrality, Shandong Province, urban basic sectors, urban population scale