Research on Spatial Structure of Aviation Logistics Network in Jiangsu-Zhejiang-Shanghai Based on SNA

In order to improve the spatial structure of regional air logistics networks, the social network analysis (SNA) method is used to construct a quantitative analysis model for spatial structure of multi-value network based on relational data. Using the core-periphery analysis, cohesive subgroup analysis, Bert structural holes analysis, and topological analysis, five quantitative indicators including coreness, constraint, hierarchy, redundancy, and edge correlation is selected to describe the spatial structure characteristics of air logistics network in Jiangsu-Zhejiang-Shanghai area. According to the results, the existing layout takes Shanghai airports as the international hub of air logistics for this area, and uses Hangzhou and Nanjing as the regional distribution centers at both edges of this area. Finally, based on the existing logistics resources, the improvement proposal is put forward that Shanghai, Hangzhou, and Nanjing should be used as the first-level core circle in the regional network and Ningbo, Wuxi, and Wenzhou as the secondary core circle.