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2015, 01, v.40;No.170 253-256
灰色关联弹性模型在公路客运量预测中的运用
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发布时间: 2015-02-20
出版时间: 2015-02-20
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摘要:

根据公路客运量预测受到多因素影响以及非线性的特点[1],选取了影响公路客运量的主要因素,并计算出关联因素对公路客运量的关联度,进一步提出了灰色关联弹性模型预测公路客运量的方法。该方法提出灰色综合弹性系数的概念,基于灰色关联弹性模型的原理,根据若干年已知数据计算得出的灰色综合弹性系数并预测出后面紧邻若干年份的客运量。将该模型运用到对我国公路客运量的预测,发现预测精度同传统弹性系数法相比有了一定提高,验证了该模型具有一定的实用性和参考价值。

Abstract:

The prediction of highway passenger transport volume is nonlinear and is influenced by many factors. On the basis of the characteristics,this paper selects some main influencing factors of of road passenger transport volume and calculates out their grey correlation degree. What's more,this paper puts forward the Grey Correlation-Elastic Model to forecast road passenger transport volume. The method proposes the concept of grey-comprehensive-elastic coefficient. On the basis of Grey CorrelationElastic Model and several years of known datum,the article count figures out the grey-comprehensive- elastic coefficient and the value of road passenger transport volume of some later years. After the application of the model into the forecasting of China's road passenger transport volume,this text finds out that the Grey Correlation-Elastic Model can improve the prediction accuracy of road passenger transport volume as compared to the traditional elasticcoefficient method,which turns out that the model has some practical uses and reference values.

参考文献

[1]朱昌锋.铁路集装箱运量组合预测方法研究[J].兰州交通大学学报,2010,29(6):141-144.

[2]秦芳,周鹏飞.基于聚类的港口吞吐量预测方法及其适用性分析[J].水道港口,2011,32(3):223-228.

[3]唐承铁.基于灰色关联性理想解法的风险评价模型[J].公路工程,2012,37(6):38-41.

[4]邓聚龙.灰色系统基本方法[M].武汉:华中科技大学出版社,2005:8-76;124-205.

[5]刘思峰.灰色系统理论及其应用[M]北京:科学出版社,2008:5-25;80-123.

[6]黄冰,颜可珍.沥青低温性能评价指标的灰色关联度分析[J].公路工程,2010,35(2):19-22.

[7]中华人民共和国国家统计局.中国统计年鉴2012[R].北京,2012.

[8]杜渐.模糊多元回归模型在运输弹性系数预测中的应用[J].武汉理工大学学报(交通科学与工程版),2009,33(2):333-336.

[9]杜渐.公路运输运量预测中弹性系数的确定研究[D].北京:北京工业大学2009:23-4.

[10]刘昱岗,周本钰.公路货运需求灰色-组合预测方法研究[J].公路工程,2013,38(1):111-115.

[11]赵胜川,何南.弹性系数法在公路诱增交通量预测中应用[J].交通运输系统工程与信息,2011,11(3):1-7.

[12]孙永明,郑光平.基于灰色理论的港口吞吐量预测研究[J].中国水运,2007,5(4):160-162.

[13]Wang M H,Hung C P.Novel grey model for the prediction of trend of dissolved gases in oil-fillod power apparatus[J].Electric Power Systems Research.2003(67):53-58.

[14]ZHA0 Yi-fei.Comparative research for prepared schemes of internationa I container pivotal port of shanghai[J].Joumal of shanghai Jiaotongg university,2000,34(1):14-17.

基本信息:

中图分类号:U492.413

引用信息:

[1]刘昱岗,董道建.灰色关联弹性模型在公路客运量预测中的运用[J].公路工程,2015,40(01):253-256.

发布时间:

2015-02-20

出版时间:

2015-02-20

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