Measuring Social Connectedness in Urban Clusters in China Based on Guangdong Big Data:Spatial Characteristics and Influencing Factors
To give priority to the coordinated development of major regional urban Clusters in China is an important task to build a unified national market.Strengthening the social connectedness between urban clusters can reduce transaction costs and obstacles in communication,and then coordinate growth across regions in China.This paper uses the panel big data from December 2018 to October 2020 of a large operational telephone company in Guangdong to construct the indicators of social connectedness between 188 districts and explore their spatial characteristics and influencing factors.The statistical results show that Urban agglomerations show a multi-center network development pattern,and most districts(counties)have a high degree of social connectedness with the megacities.The spatial social network of Guangdong Province can be roughly divided into four cohesive subgroups.Social links between the central cities of the Guangdong-Hong Kong-Macao Greater Bay Area and their surrounding areas have been strengthened.The empirical results show that geographical distance is an important fac-tor affecting the social connectedness of urban agglomerations.Additionally,the farther between regions,the fewer connec-tions,while there are more social connectedness between the adjacent areas and the same cities.The reduction of travel time and cost of public transportation strengthens social connectedness between regions.Economic,cultural,and educational dif-ferences are also important factors affecting the social connectedness index between regions.Furthermore,the higher connec-tions,while there are more social connectedness between the adjacent areas and the same cities.The reduction of travel time and cost of public transportation strengthens social connectedness between regions.Economic,cultural,and educational dif-ferences are also important factors affecting the social connectedness index between regions.Furthermore,the higher connec-tions,the larger population flow and the higher level of technology diffusion.Based on mobile phone data,this paper provides new evidence for accelerating the integration process of urban clusters in China and helps understand regional economic de-velopment strategy.
Social ConnectednessUrban ClusterPhone Big DataSpatial Characteristic
万方数据
维普
