Examining influencing factors of express delivery stations' spatial distribution using the gradient boosting decision trees: A case study of Nanjing, China.

Abstract

Online shopping has promoted the development of logistics and express delivery businesses. Express delivery stations are closely related to residents' daily lives, and it is an important topic for the study of urban consumption space and commercial service space. This paper analyzed the factors influencing the spatial distribution of terminal logistics space (express delivery stations) in the process of online shopping. The gradient boosting decision trees (GBDT) was selected for analyzing the factors influencing the distribution of express delivery stations. The results demonstrated that express delivery stations' distribution is mainly influenced by commercial retail and residential neighborhoods, showing a clustering toward consumer spaces and residential areas. This paper studied the association between express delivery stations and other functional spaces in the city, and established an analytical framework for the factors influencing the spatial distribution of express delivery stations. The research results help to improve the rationality and effectiveness of the setting and management of the terminal logistics space in the online shopping process.