中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2009, Vol. 28 ›› Issue (1): 116-120.DOI: 10.3969/j.issn.1674-0696.2009.01.30

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因子分析法在公路客运弹性系数计算上的应用

任其亮   

  1. 重庆交通大学交通运输学院,重庆400074
  • 收稿日期:2008-08-08 修回日期:2008-09-03 出版日期:2009-02-15 发布日期:2015-04-15
  • 作者简介:任其亮(1978—),男,山东莱芜人,副教授,博士,从事交通规划与交通安全研究。E-mail:cqrq@l126.com;Tel:023—60991692。
  • 基金资助:
    重庆市科委软科学项目( CSCT 2007 CE 9009), 重庆市教委基础研究项目( KJ 080421)。

Application of Key Factor Analysis Method to the Calculation of Elastic Coefficients ofH ighway Passenger Transportation

REN Qi-liang   

  1. School of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China
  • Received:2008-08-08 Revised:2008-09-03 Online:2009-02-15 Published:2015-04-15

摘要: 为全面、有效地分析众多指标因子对客运需求的影响并揭示它们之间的联系,将公路客运影响因子划分为公 路客运经济因子和公路客运弹性因子两种,给出了公路客运弹性系数的因子分析法,并对江西省1980年??2005年 公路客运指标采用因子分析法进行计算,通过经济因子和弹性因子的关系来获取该省公路客运的弹性系数。结果 表明采用因子分析法进行公路客运需求分析,既能大大减少参与数据建模的变量个数,有效降低变量维数、同时也 不会造成信息的大量丢失;各年客运弹性系数总体变化不大,能够较好地反映公路客运与社会经济发展的关系,但 利用几何平均法得到的运输弹性系数的发展趋势比较平缓,其波动范围也小于利用算术平均法得到的弹性系数。

关键词: 交通运输, 公路旅客运输, 弹性系数, 因子分析, 弹性因子, 经济因子

Abstract: In order to analyze the effect so many factors have on highway passenger demand and reveal the relationships between them roundly and effectively, the proposal that highway passenger factors are divided into economy factors and elastic factors and the key factor analysis method about elastic coefficients of highway passenger transportation is given. Using key factor analysis method, the highway passenger indexes from 1980 to 2005 of Jiangxi province are computed and the elastic coefficients of highway passenger transportation are got by analyzing the relationship between economy factors and elastic factors. The result shows that key factor analysis method is useful to analyze the highway passenger demand because it can reduce the amount of variables for models and cannot result in the loss of much information, and then it shows that all +the elastic coefficients change a little, which can reflect the relationship between highway passenger transportation and social economy. And the development trend of elastic coefficients got from geometric average method changes more gently and the fluctuation range is smaller than that got from arithmetical average method.

Key words: transportation , highway passenger transportation , elastic coefficients , key factor analysis , elastic factor , economy factor ;

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