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Prediction of the Logistics Demand Based on an Innovative Mixed Model: an Empirical Case from Nanping City,China 被引量:2
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作者 王波 魏乐琴 +3 位作者 陈金雄 蔡尚斌 张立中 边舫 《Journal of Donghua University(English Edition)》 EI CAS 2019年第5期498-506,共9页
The research intends to make scientific prediction of the logistics demand of Nanping City based on mathematical model calculation so as to provide reasonable strategic guidance for the sustainable and healthy develop... The research intends to make scientific prediction of the logistics demand of Nanping City based on mathematical model calculation so as to provide reasonable strategic guidance for the sustainable and healthy development of urban logistics industry.It constructs a comprehensive index system composed of freight volume and other eight relevant economic indices to form the foundation for the model construction.Combining forecasting models of principal component regression and GM(1,1)together,it makes mathematical calculation to predict the logistics demand of Nanping City from the years 2018 to 2022.The research makes systematical analyses of the indices influencing the precise prediction of logistics demand from a new perspective,which offers an innovative and practical option for urban logistics prediction.In line with the prediction,it offers some suggestions for the improvement of demand prediction and some strategies for the better development of the logistics industry in Nanping City. 展开更多
关键词 regional LOGISTICS DEMAND prediction principal component regression gm(1 1)prediction
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