主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

世界地理研究 ›› 2019, Vol. 28 ›› Issue (5): 83-94.DOI: 10.3969/j.issn.1004-9479.2018186

• 城市与区域 • 上一篇    下一篇

粤港澳大湾区城市网络的时空演化

熊瑶(), 黄丽()   

  1. 华东师范大学城市与区域科学学院,上海 200241
  • 收稿日期:2018-05-07 修回日期:2018-07-02 出版日期:2019-10-15 发布日期:2020-03-27
  • 通讯作者: 黄丽
  • 作者简介:熊瑶(1991-),女,硕士研究生,研究方向为城市经济与区域发展,E-mail:xiongyao0321@163.com
  • 基金资助:
    国家自然科学基金项目(41471108)

Spatio-temporal evolution of urban network in the Guangdong-Hong Kong-Macao Greater Bay Area ——Based on listed company organization relations

Yao XIONG(), Li HUANG()   

  1. School of Urban and Regional Science, East China Normal University, Shanghai 200241, China
  • Received:2018-05-07 Revised:2018-07-02 Online:2019-10-15 Published:2020-03-27
  • Contact: Li HUANG

摘要:

城市网络演化是城市-区域规划及建设的重要依据。通过链锁网络模型及社会网络分析法,利用上市企业总部-分支机构数据,分析粤港澳大湾区城市网络的演化特征。结果显示:粤港澳大湾区上市企业总部呈高度集聚分布,总部经济的辐射范围逐步扩大。港深广之间高强度联系构筑一条联通廊道,香港、深圳的双核心地位凸显。城市网络单向流动特征明显,除香港为输出型城市,其他城市均为输入型,流入-流出不对称性逐渐减弱。粤港澳大湾区城际联系由地理邻近的片区化组团向跨片区融合发展转变。整体城市网络呈现高密度、去中心化趋势,并由形式多中心向功能多中心转变,进入离心化的功能多中心发展阶段。

关键词: 城市网络, 链锁网络模型, 社会网络分析, 企业组织, 粤港澳大湾区

Abstract:

Urban network evolution is an important basis for urban regional planning and construction. This paper presents the shifting urban network created by listed companies in Guangdong-Hong Kong-Macao Greater Bay Area between 2000 and 2016. The methodology used to examine cities' connection, local group and overall network structure is based on the interlocking network model and the Social Network Analysis. The results show that the headquarters of listed companies are highly agglomerated, and its radiation scope is gradually expanding. Meanwhile, the strong connection between Hong Kong, Shenzhen and Guangzhou constitutes a solid contact corridor. Along with the development of network structure, the dual core status of Shenzhen and Hong kong is becoming more and more highlighted. As for flow direction, Hong Kong is a strong export-oriented city, while the others are input-oriented cities, but the imbalance of output and input is gradually weakening. In addition, there is an evident phenomenon of subgroups in the studied area, we find that the subgroups built on geographical proximity is gradually disappearing, cross regional integration is becoming prominent. Finally, the overall urban network presents a relatively high density and a tendency of decentration. At the same time, the urban network has changed from formal polycentricity to functional polycentricity, and it has entered the centrifugal stage.

Key words: urban network, interlocking network model, Social Network Analysis, corporate organization, Guangdong-Hong Kong-Macao Greater Bay Area