Influencing Factors Analysis and Forecast of Regional Logistics Demand: a case of Wuhan

Abstract

Regional logistics demand has an important guiding significance for regional logistics development planning. However, due to the wide range of areas and departments involved in logistics activities, and the corresponding statistics is unavailable. Therefore, the demand for regional logistics is much more difficult to determine. Through the influencing factors analysis of regional logistics, this paper chooses several indicators and constructs a multiple linear regression model. Then an empirical analysis of Wuhan in China is carried out and some indicators are eliminated. Finally, a regression model is established with gross domestic product, gross agricultural output and total retail sales of consumer goods. The model has statistical significance and it is used to predict the logistics demand of Wuhan in 2020, 2025 and 2030. The results show that the region's logistics demand will continue to grow.