Research on Short-term Forecasting of Logistics Demand in Anhui Province Based on Adaboost Regression Algorithm
[Purposes]Logistics demand forecasting is helpful to adjust the distribution of logistics re-sources and is of great significance to promote the development of logistics industry.[Methods]The index data related to logistics demand in Anhui Province from 1995 to 2022 were selected as the original sample data,and the freight volume was used to characterize the logistics demand.Six indicators for prediction were selected by XGBoost feature selection algorithm.On this basis,three methods are used to construct models respectively,and these models are compared and analyzed.Finally,the Adaboost regression algorithm with the highest accuracy is selected to predict the short-term logistics demand of Anhui Province.[Findings]From 2023 to 2026,the predicted values of logistics demand in Anhui Province were 4029.42428 million tons,3698.77222 million tons,3808.84375 million tons and 3823.195 million tons,respectively.[Conclusions]In the next four years,the freight volume of logistics in Anhui Province will show a fluctuating.Based on the geographical advantages of Anhui Province and the comprehensive loosening restrictions of the epidemic,the logistics industry in Anhui Province has shown a lot of devel-opment potential.
Adaboostfeature selectionlogistics demand forecastAnhui province
万方数据
维普
