Analysis of spatial distribution characteristics of electric vehicle sales and service shops and the corresponding influencing factors

Abstract

AbstractThe electric vehicle industry is essential for China's economic transformation and industrial upgrading. Identifying the distribution of electric vehicle sales and service shops is of great significance to boost the development of retail geography theory and promote the optimization of industrial space. Regression and spatial econometric methods analyze the influencing factors of electric vehicle sales and service shop distribution. According to the point of interest data of electric vehicle sales and service shops, taking 10 typical cities in China as an example, the spatial distribution of electric vehicle sales and service shops and its influencing factors are empirically explored by spatial econometric methods. The results indicate the following: (1) From high to low, the influence degree of spatial dependence factors are car license restriction policy, the average age of residents, number of schools, built‐up area, the amount of investment in real estate, electric vehicle sales, and GDP; (2) On the whole, the spatial distribution of electric vehicle sales and service shops shows the characteristics of a multi‐center circle‐layered spatial structure that spreads from the inside to the outside; and (3) The spatial influencing factors such as electric vehicle sales, charging stations, permanent resident population, schools, and subway stations in the four first‐tier cities is evident.