流空间视角下的粤港澳大湾区空间网络格局——基于信息流与交通流的对比分析

时空压缩背景下,城市间的空间作用转向关注要素联系视角,动态流空间主导着区域空间网络的新格局。文章从信息流和交通流出发,借助测度修正、空间计量、社会网络分析等方法,从内部与外部联系两个维度对粤港澳大湾区的网络结构特征进行识别与分析。结果发现:①湾区内部联系网络呈现以广深为双核心的结构,佛、莞、珠的中心性地位较突出,其中信息流格局具有沿东岸"弧形"轴线分布的特征,网络体系兼具多中心性和扁平性,而交通流则呈"N"字型沿中部延伸,等级性功能联系较明显;②香港是湾区外部联系网络的枢纽,深、广、澳为核心节点,区域格局深受全球非局域中心联系的影响,但整体的交通外部联系较为匮乏;③湾区综合网络格局以三大枢纽为核心,但制度差异下的空间融合联系受到地方化及地缘偏向的约束,对等级关系有一定的依赖,结构上存在主导性缺失。

Urban Network Structure of Guangdong-Hong Kong-Macao Greater Bay Area with the View of Space of Flows:A Comparison between Information Flow and Transportation Flow

In the context of time-space compression, the spatial interaction of intercity relationships turns to factor connection. The dynamic "Space of Flows" plays a dominant role on the regional network structure. Based on the two fundamental element(information flow and transportation flow) and with the compared analysis between internal and external relations of urban flow network, this article distinguishes and analyzes the characteristics of network structure in Guangdong-Hong Kong-Macao Greater Bay Area by such means as measurement modification, spatial quantitative and social network analysis methods. The results are as follows. 1) Internal connection network is characterized by a dualcore structure of Guangzhou and Shenzhen with outstanding nodes of Foshan, Dongguan and Zhuhai on centrality position. The information flow network presents a curve-type structure partial to east coast of the Pearl River estuary with poly-centrality and flatness. Transportation flow, in another way, shows "N"-type central diffusion with distinct hierarchical functional connection feature. 2) Hong Kong is the connection hub of external connection network,Shenzhen, Guangzhou and Macao are core nodes. The regional structure, in this way, is deeply influenced by global-scale non-local connection, whilst shows deficiency of external transportation connection overall. 3) Three hubs jointly construct the centrality of comprehensive network structure of the bay area, but it still lacks dominance and shows certain dependency on the rankings, for localization and geographical deviation turn out to hinder the deep-level integration into global city network and spatial connection under the background of institutional differences.