Spatial Characterization of CAINIAO e-stations in China’s New First-Tier Cities Based on POI Data

Based on the POI (Point of Interest) data of CAINIAO e-stations in China’s 15 new first-tier cities such as Chengdu, Hangzhou and Chongqing, this paper comprehensively utilizes spatial statistical methods such as kernel density analysis, spatial autocorrelation analysis and standard deviation ellipsoid analysis, to conduct an in-depth study on the spatial distribution characteristics of CAINIAO e-stations and their regional heterogeneity. The results show that: (1) CAINIAO e-stations in most cities show significant spatial aggregation characteristics, and their distribution centers are usually close to core business districts or densely populated areas; (2) The distribution direction is mostly consistent with major transportation corridors, economic development axes, or urban topographic features; (3) There are significant differences in the distribution scope, direction, and degree of dispersion of CAINIAO e-stations in different cities, which can be attributed to the spatial structure of the city, logistics demand, e-commerce penetration rate, and transportation network. These differences can be attributed to the combined effects of multiple factors such as urban spatial structure, logistics demand, e-commerce penetration rate and transportation network. The study provides empirical references for optimizing the layout of terminal logistics facilities and has important practical value.