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上海内河货运量的组合预测
引用本文:李跃旗,王颖.上海内河货运量的组合预测[J].中国航海,2009,32(4).
作者姓名:李跃旗  王颖
作者单位:上海海事大学交通运输学院,上海,200135
摘    要:内河航运是综合交通运输系统中不可缺少的运输方式,存在着很大的潜在优势.定量地把握未来内河运输的发展趋势,具有重大的现实意义.通过利用时间序列模型、logistic曲线与自回归模型等,对2010-2015年的上海内河货运量进行预测.在此基础上,对不同模型赋予不同的权重,建立了组合预测模型.研究表明:未来上海内河货运量将持续稳定地增长.为提高预测的精度,有必要综合地使用多个预测方法.

关 键 词:交通运输经济学  内河货运量  组合预测  时间序列模型  logistic曲线  自回归模型

Combined Forecast for Shanghai Inland Water Freight Volume
LI Yue-qi,WANG Ying.Combined Forecast for Shanghai Inland Water Freight Volume[J].Navigation of China,2009,32(4).
Authors:LI Yue-qi  WANG Ying
Abstract:Inland transport with huge potential advantage is an indispensable transport system in integrated traffic transport system. Knowing the trends of inland water transport development quantitatively has a great practical significance. The transport freight volume forecasts of inland waterway transportation of Shanghai from 2010 to 2015 are given first applying time series model, logistic curve and autoregressive model respectively of The final forecasts are calculated by combining above results with weights. The research shows that inland water freight volume of Shanghai will achieve a stable growth in future, It is necessary to combine different forecast methods to enhance the accuracy of forecasts.
Keywords:traffic transport economics  inland water freight volume  combined forecast  time series model  logistic curve  autoregressive model
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