Analysis of Urban Agglomeration Network Structure Based on Baidu Migration Data: A Case Study of the Guangdong-Hong Kong-Macao Greater Bay Urban Agglomeration  

作　　者：XIA Yuan WANG Bin 

机构地区：[1]Guangzhou Urban Planning and Design Co.,Ltd.,Guangzhou,Guangdong 510060,China [2]Guangzhou Urban Planning&Design Survey Research Institute Co.,Ltd.,Guangzhou,Guangdong 510060,China [3]Guangdong Enterprise Key Laboratory for Urban Sensing,Monitoring and Early Warning,Guangzhou,Guangdong 510060,China

出　　处：《Journal of Landscape Research》2024年第4期47-50,共4页景观研究（英文版）

摘　　要：The inter-city linkage heat data provided by Baidu Migration is employed as a characterization of inter-city linkages in order to facilitate the study of the network linkage characteristics and hierarchical structure of urban agglomeration in the Greater Bay Area through the use of social network analysis method.This is the inaugural application of big data based on location services in the study of urban agglomeration network structure,which represents a novel research perspective on this topic.The study reveals that the density of network linkages in the Greater Bay Area urban agglomeration has reached 100%,indicating a mature network-like spatial structure.This structure has given rise to three distinct communities:Shenzhen-Dongguan-Huizhou,Guangzhou-Foshan-Zhaoqing,and Zhuhai-Zhongshan-Jiangmen.Additionally,cities within the Greater Bay Area urban agglomeration play different roles,suggesting that varying development strategies may be necessary to achieve staggered development.The study demonstrates that large datasets represented by LBS can offer novel insights and methodologies for the examination of urban agglomeration network structures,contingent on the appropriate mining and processing of the data.

关 键 词：Baidu migration data Social network analysis Urban agglomeration network structure Greater Bay Area urban agglomeration 

分 类 号：TU984.18[建筑科学—城市规划与设计]