地理科学 ›› 2018, Vol. 38 ›› Issue (6): 827-837.doi: 10.13249/j.cnki.sgs.2018.06.001

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中国沿海三大城市群城市空间网络拓展分析——以综合交通信息网络为例

孙阳1,2(), 姚士谋1, 张落成1   

  1. 1.中国科学院流域地理学重点实验室/中国科学院南京地理与湖泊研究所,江苏 南京 210008
    2.中国科学院大学,北京 100049
  • 收稿日期:2017-08-11 修回日期:2018-03-22 出版日期:2018-06-20 发布日期:2018-06-20
  • 作者简介:

    作者简介:孙阳(1988-),男,陕西咸阳人,博士研究生,主要从事城市发展与区域规划研究。E-mail:yangsun.chn@hotmail.com

  • 基金资助:
    国家自然科学基金重点项目(41130750,41341170)资助

Spatial Expansion of Urban Network for the Three Coastal Agglomerations of China: A study Based on Integrated Traffic Information Network

Yang Sun1,2(), Shimou Yao1, Luocheng Zhang1   

  1. 1.Key Laboratory of Watershed Geography, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences Nanjing 210008, Jiangsu, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2017-08-11 Revised:2018-03-22 Online:2018-06-20 Published:2018-06-20
  • Supported by:
    Key Program of National Natural Science Foundation of China (41130750, 41341170)

摘要:

在以“空间流”为逻辑的区域空间组织下,借由城际交通与信息网络的全面发展改变着社会经济空间结构的深度与广度,由此产生的“时空压缩”效应大幅度增强城市信息联系,促使现代城市在“空间流”的作用下不断扩展城市网络空间。针对中国在城镇化发展过程中出现的沿海三大城市群:长三角、京津冀以及珠三角城市群,对其进行城市空间网络分析,结果表明:公路运输、普通列车、高速列车、信息网络在一定程度上把相互连接的城市转变成为城市空间对外拓展的网络节点,拉近节点城市与周边城市的时空距离,带动城市群区域信息“网络化”结构的形成;长三角城市群城市空间网络主要以上海(沪)、南京(宁)核心节点城市构成,北翼网络化程度较高于南翼线性联系程度,其区域联系密度以“沪-宁”“沪-杭”沿线向两侧递减;其城市群城市网络拓展流向主要是以上海→湖州、上海→宁波、上海→泰州、南京→扬州、南京→镇江、南京→无锡、南京→苏州、南京→上海、杭州→宁波等城市流向,呈现典型多中心结构;京津冀城市群城市空间网络主要以北京、天津为核心向外辐射,形成了以廊坊、沧州、承德、张家口等次级城市网络连线。其城市群城市间网络的拓展流向主要是以北京→天津、北京→石家庄、北京→秦皇岛、北京→廊坊、天津→秦皇岛、天津→石家庄等城市流向,呈现典型的双核心结构,这些城市彼此之间呈现复杂网状联系特征,其中,北京-天津-石家庄围成度中心网络的核心圈层,度中心值较低的其他10个城市节点组成外围低密度圈层;珠三角城市群城市空间网络主要以广州、深圳、珠海为核心向外辐射,形成了以佛山、惠州、江门等次级城市网络连线。其城市群城市网络拓展方向主要以广州→深圳、广州→肇庆、广州→东莞、深圳→广州、深圳→东莞、珠海→东莞等城市流向。其中,广东、深圳处于网络的绝对中心位置,广东-深圳-东莞-佛山围成度中心网络的核心圈层,度中心值较低的其他5个城市节点组成外围低密度圈层,多核心网络结构特征显著。

关键词: 空间流, 信息流, 空间网络拓展, 城市网络拓展, 沿海城市群

Abstract:

In the regional spatial organization established based on the logic of spatial flow, the development of intercity transportation and information network is changing the depth and extent of the social economic spatial structure. Therefore, time-space compression leads to the considerable consolidation of informational linkage among cities and further facilitates the constant expansion of the network space of modern cities under the effect of spatial flow. This study analyzes the spatial expansion of urban information for the three coastal agglomerations that emerged during the urbanization of China, namely, the Yangtze River Delta, Beijing-Tianjin-Hebei, and the Pearl River Delta Urban agglomerations. The findings are provided as follows: 1) Highway, ordinary train, high-speed train, and information network have transformed interconnecting cities to functional network nodes for the external expansion of urban information, shortened the temporal and spatial distance between the nodes and the surrounding cities, and driven the formation of a networking structure of information for urban agglomerations; 2) The spatial expansion of the urban information on the Yangtze River Delta Urban agglomerations is mainly composed of key node cities, including Shanghai and Nanjing. The networking degree of the northern area is higher than the linear connection degree of the southern area, and the regional linkage density declines sideward from the Shanghai-Nanjing and Shagnhai-Hangzhou lines; the spatial direction of urban network is Shanghai→Huzhou, Shanghai→Ningbo, Shanghai→Taizhou, Nanjing→Yangzhou, Nanjing→Zhenjiang, Nanjing→Wuxi, Nanjing→Suzhou, Nanjing→Shanghai, Hangzhou→Ningbo; 3) The urban information of the Beijing-Tianjin-Hebei Urban agglomeration mainly diverges from Beijing and Tianjin to form a network connection with secondary cities, including Langfang, Cangzhou, Chengde, and Zhangjiakou, the spatial direction of urban network is Beijing→Tianjin, Beijing→Shijiazhuang, Beijing→Qinhuangdao, Beijing→Langfang, Tianjin→Qinhuangdao, Tianjin→Shijiazhuang, among others. Beijing, Tianjin, and Shijiazhuang form the core circle layer of the degree centrality network, whereas the other 10 low-degree centrality urban nodes form the periphery low-density circle layer; 4) The urban information of the Pearl River Delta Urban agglomerations diverges from Guangzhou, Shenzhen, and Zhuhai to form a network connection with secondary cities, the spatial direction of urban network is Guangzhou→Shenzhen, Guangzhou→Zhaoqing, Guangzhou→Dongguan, Shenzhen→Guangzhou, Shenzhen→Dongguan, Zhuhai→Dongguan, including Foshan, Huizhou, and Jiangmen. Guangzhou and Shenzhen are located as the absolute center of the network. Guangzhou, Shenzhen, Dongguan, and Foshan form the core circle layer of the degree centrality network, and other 7 low-degree centrality urban nodes form the periphery low-density circle layer. The network features a recognizable ‘core-periphery’ structure.

Key words: space flow, information flow, the spatial expansion of network, the expansion of urban network, the coastal agglomerations

中图分类号: 

  • K909