| 基于灰色关联理论与多元线性回归模型的铁路客运量预测 |
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| 引用本文： | 杜先汉,李岩.基于灰色关联理论与多元线性回归模型的铁路客运量预测[J].交通科技与经济,2013,15(4):90-93. |
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| 作者姓名： | 杜先汉 李岩 |
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| 作者单位： | 1. 武汉市政工程设计研究院有限责任公司,湖北武汉,430023
2. 西南交通大学交通运输与物流学院,四川成都,610031 |
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| 摘 要： | 对铁路客运量进行定性分析,采用灰色理论中的灰色关联分析方法,对影响铁路客运量的因素进行关联分析,挑选出关联性最强的因素,建立铁路客运量与影响因素之间的多元回归预测模型,通过实例证明,该预测方法简单可行,预测精度较高。
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| 关 键 词： | 灰色关联度分析 多元线性回归 客运量 铁路客运系统 |
The railway passenger transport capacity forecast based on multivariate linear regression model and gray relational analysis |
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| DU Xian-han
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LI Yan.The railway passenger transport capacity forecast based on multivariate linear regression model and gray relational analysis[J].Technology & Economy in Areas of Communications,2013,15(4):90-93. |
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| Authors: | DU Xian-han LI Yan |
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| Institution: | 1. Wuhan Municipal Engineering ＆ Research Institute Co. , Ltd. , Wuhan 430023, China; 2. College of Traffic ＆ Transportation, Southwest Jiaotong University, Chengdu 610031, China) |
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| Abstract: | The qualitative analysis of railway passenger transport capacity is made by using the gray theory --the gray relational analysis method for the influential factors. The most relevant factors are chozen to establish a multiple linear regression prediction model of railway passenger transport capacity. The practice shows the prediction method is simple and feasible, with higher accuracy. |
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| Keywords: | gray relational analysis multivariate linear regression passenger transport capacity railway passenger transport system |
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