Research on the Spatial Connection of Guangdong-Hong Kong-Macao Greater Bay Area Based on Big data of AutoNavi Travel

Minmin Li, Qi Yang, You Li, Wenhua Guo, Wenchao Liu, Ding Ma, Yuxia Kuang

Abstract: Traffic flow is the main carrier and manifestation of the flow of elements such as people and goods, and it can enrich the understanding of urban network and spatial structure. Based on the AutoNavi travel big data of 2020, this study uses methods such as data modeling, spatial analysis, and complex network analysis to analyse the spatial connection of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The results have shown that the interurban connection intensity on the east coast of the GBA is significantly greater than that on the west coast, and cross-city commuting is mainly concentrated in the Guangzhou, Shenzhen and Hong Kong metropolitan circles. The urban network centrality has the characteristics of polarization, and the centrality of Guangzhou, Shenzhen, Foshan and Dongguan is higher than other cities. The diversity of urban network is quite different, and the diversity of Shenzhen, Macau and Hong Kong is low due to the influence of traffic location and geographical location. Generally speaking, the GBA has not yet formed a wide-ranging communication chain. It is recommended to strengthen the construction of the transportation on the west coast, promote the linkage between the East and West Coasts, and provide support for the integrated development of the GBA.