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交通与经济联系视角下粤港澳大湾区网络结构与协同机制探究

Network Structure and Coordination Mechanism of the Guangdong-Hong Kong-Macao Greater Bay Area in Terms of Transportation and Economic Data
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摘要 在交通与经济联系视角下,以2019年和2020年为时间截面,基于社会网络理论分析粤港澳大湾区城市空间结构与联系网络特征,探究未来大湾区的发展方向与协同模式,以期对大湾区发展规划提供几点建议。结果表明:(1)粤港澳大湾区存在明显的“东强西弱”空间分异格局,广州、深圳、佛山为湾区城市主要联系方向,形成“广州-佛山”“深圳-东莞”交通极点和“佛山-广州-东莞-深圳-香港地区”经济联系主线;(2)粤港澳大湾区已形成较为明显的以广州、深圳、香港地区为核心的多中心化网络结构,高位序城市节点表现出较强的虹吸效应,城市间双向联系呈现一定的对称性,但整体网络集聚趋势尚不明显;(3)粤港澳大湾区正逐步形成以湾区中轴为核心的圈层结构,并通过多个凝聚子群形成以点带面的协同发展格局。 We analyze the urban spatial structure and connection network's characteristics of Guangdong-Hong Kong-Macao Greater Bay Area from 2019 to 2020 based on social network theory from the perspective of transportation relationship and economic relationship, and explore the development direction and the coordinated mode of the Greater Bay Area in the future, to provide several suggestions for the development planning of the Greater Bay Area. The results are as follows: First, the development of Guangdong-Hong Kong-Macao Greater Bay Area presents a spatial differentiation pattern of “strong in the east and weak in the west”. Guangzhou, Shenzhen and and Foshan are the main contact directions in the Greater Bay Area, forming the traffic pole of “GuangzhouFoshan”, “Shenzhen-Dongguan” and the main line of economic connection:“Foshan-Guangzhou-Dongguan-ShenzhenHong Kong”. Second, a relatively obvious multi-centralized network structure with Guangzhou, Shenzhen and Hong Kong as the core has been formed in Guangdong-Hong KongMacao Greater Bay Area. High-ranking cities have shown strong siphon aspect than other cities. The two-way connection between cities presents a certain symmetry, but the overall trend of network agglomeration is not obvious. Third, a circle-like structure is gradually forming with the central axis of the Greater Bay Area as the core, and a coordinated development pattern of point to area is formed through a number of cohesive sub-groups.
作者 颜雪 廖创场 赵志刚 马丁 YAN Xue;LIAO Chuangchang;ZHAO Zhigang;MA Ding(Research Institute for Smart Cities,School of Architecture and Urban Planning,Shenzhen University,Shenzhen 518060,China)
出处 《测绘地理信息》 CSCD 2024年第2期114-121,共8页 Journal of Geomatics
基金 国家重点研发计划(2018YFB2100705)。
关键词 社会网络理论 经济联系 粤港澳大湾区 协同模式 城市网络 social network theory economic connection Guangdong-Hong Kong-Macao Greater Bay Area collaborative pattern urban network
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