Logistics network characteristics and influencing factors in the Guangdong-Hong Kong-Macao Greater Bay Area
Express logistics is a direct reflection of intercity material flows and an important form of representation of urban connectivity.Taking 63 districts and counties in the Guangdong-Hong Kong-Macao Greater Bay Area as the basic research unit,this study constructed a 63 × 63 logistics linkage matrix based on logistics network data,and explored the spatial structure characteristics of logistics networks and their influencing factors by using social network analysis,GIS spatial analysis,and multi-scale geographically weighted regression(MGWR)models.The findings show that:1)The centrality of the network of districts and counties is basically consistent with the macro pattern of socioeconomic development level and town size,and the imbalance of logistics between districts and counties is notable,with Baiyun District having a prominent logistics function.2)The overall network has formed a multi-center structure of"three nuclei and two auxiliaries",with Guangzhou,Dongguan,and Shenzhen as the main cities,supplemented by Foshan and Zhongshan.The clustering and polarization of logistics links are significant,with network connections prioritized in core cities such as Guangzhou,Dongguan,and Shenzhen.3)The Guangdong-Hong Kong-Macao Greater Bay Area can be divided into four cohesive subgroups,which are characterized by a scattered distribution and zonal expansion,a typical core-periphery structure.4)The formation of logistics networks is mainly influenced by the size of the resident population and GDP,while GDP per capita,per capita disposable income of urban and rural residents,average wages of employed persons,and total retail sales of consumer goods also play an important role.The study is of significance for enriching the theory of urban networks,promoting the coordinated development of logistics,and enhancing the level of logistics services and the comprehensive competitiveness of urban agglomerations.
space of flowslogistics networknetwork characteristicsMGWRGuangdong-Hong Kong-Macao Greater Bay Area
NETL
NSTL
万方数据
维普
