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交通流空间视角下粤港澳大湾区网络结构多维测度
引用本文:廖创场,李晓明,洪武扬,郭仁忠.交通流空间视角下粤港澳大湾区网络结构多维测度[J].地理研究,2023,42(2):550-562.
作者姓名:廖创场  李晓明  洪武扬  郭仁忠
作者单位:1.深圳大学建筑与城市规划学院,深圳 5180602.深圳大学智慧城市研究院,深圳 518060
基金项目:国家重点研发计划项目(2019YFB2103100);国家重点研发计划项目(2019YFB2103104);国家自然科学基金项目(42101427)
摘    要:交通流是表征区域联系的核心要素,也是区域空间结构新的测度手段。本文基于流空间理论与社会网络理论,使用高德导航数据,对粤港澳大湾区交通联系网络的空间组织结构、节点特征、联系机理进行识别与分析,以期对湾区未来发展规划提供决策支持。结果显示:(1)整合尺度后的大湾区呈现“四组团三圈层”的空间组织形态;(2)多中心化发展态势明显,依托广深莞核心交通资源出现高强集聚;(3)网络整体骨架尚未建立。本研究揭示区域城市间交互关系与结构特征,对推动大湾区构建多极化、组团化、协同化的发展格局具有重要意义。

关 键 词:社会网络理论  流空间  交通联系  导航数据  粤港澳大湾区
收稿时间:2022-05-19

Multi-dimensional measurement of network structure of Guangdong-Hong Kong-Macao Greater Bay Area from the perspective of traffic flows space
LIAO Chuangchang,LI Xiaoming,HONG Wuyang,GUO Renzhong.Multi-dimensional measurement of network structure of Guangdong-Hong Kong-Macao Greater Bay Area from the perspective of traffic flows space[J].Geographical Research,2023,42(2):550-562.
Authors:LIAO Chuangchang  LI Xiaoming  HONG Wuyang  GUO Renzhong
Institution:1. School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, Guangdong, China2. Research Institute for Smart Cities, Shenzhen University, Shenzhen 518060, Guangdong, China
Abstract:Traffic flows is the core factor reflecting the interaction in urban agglomerations and a new measure model of spatial structure. The advanced stage of urban agglomeration is spatial development model of network. The study of spatial signs and interaction mechanism in urban agglomeration from the perspective of network has a reference significance for regional planning and development. In this context, the theory of flow space, social network and pan-maps are applied. Based on Autonavi navigation OD data in the Guangdong-Hong Kong-Macao Greater Bay Area collected in 2019 and 2020, this study constructs a transportation network model and uses a social network analysis approach to analyze its characteristics of spatial construction, node and edge. The conclusions are drawn as follows: After unifying the spatial scale, the Greater Bay Area presents the spatial organization form of “four groups and three circles”; A multi-center networked spatial structure in the Greater Bay Area has been formed relying on core nodes of Dongguan, Shenzhen and Guangzhou; Close local connection and loose overall connection is main characteristics of the network in the Greater Bay Area; There are two strong connection subnetworks in the network: Shenzhen-Dongguan and Guangzhou-Foshan; A continuous thread of connection has not yet formed within the Greater Bay Area. This study reveals the interaction relationship and structural characteristics among regional cities, which is of great significance for promoting the Greater Bay Area to build a multi-polar, group-based and collaborative development pattern. The Greater Bay Area should promote regional cooperation relying on the spatial organization structure and form three major development subgroups: Guangzhou-Foshan-Zhaoqing, Zhuhai-Zhongshan-Jiangmen-Macao and Shenzhen-Dongguan-Huizhou-Hong Kong. Meanwhile, it is necessary for the Greater Bay Area to give play to the advantages of central nodes, deepen the contact of Guangdong-Hong Kong-Macao and enhance international influence relying on transportation strategy and construction of free trade zones.
Keywords:social network theory  flow space  traffic connection  navigation data  Guangdong-Hong Kong-Macao Greater Bay Area  
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