基于主成分分析法的公路交通发展指数与经济发展指数的构建
onstruction of Road Traffic Development Index and Economic Development Index Based on Principal Component Analysis Algorithm
当今社会,准确把握公路交通和区域经济发展的关系对制定各项政策至关重要。利用两者间的回归模型作为参考越来越易被人们接受。而公路交通发展指数和经济发展指数在建立模型时的准确性也越来越被人们发现和应用。 在建立回归分析模型时,需要在诸多因素中选取主要的、而且近似相互独立的因素作为自变量。本文以广东省罗定市近年数据为基础,在对数据进行处理的基础上,利用主成分分析法剔除权重最小的因素,进而构建了适用于罗定市的公路交通发展指数和经济发展指数。最后,本文通过对各种回归模型进行比较分析,选取最优模型,从而建立了公路交通对经济发展影响的回归模型。
In today’s society, it is really important to the formulation of policies that the grasping of the relationship accurately between road traffic and regional economic development. The use of regression models between the two as a reference becomes more and more easily accepted. What’s more, the accuracy of the model which is from the road traffic development index and economic development index is also more and more discovered and applied by people. In the establishment of regression analysis model, there are a number of factors need to be selected a major, but independent of each other similar factors as independent variables. This paper is based on the data of Luoding City, Guangdong Province in recent years. On the basis of data processing, this paper uses principal component analysis excluding the weight of the smallest element, constructs the road traffic development index and the economic development index that can be used in Luoding. Finally, through a comparative analysis of the various regression models to select the best model, the paper established a regression model about road traffic impact on the economic development.
张文标
交通运输经济
主成分分析公路交通发展指数经济发展指数
Principal Component AnalysisRoad trafficEconomic Development
张文标.基于主成分分析法的公路交通发展指数与经济发展指数的构建[EB/OL].(2009-09-03)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/200909-104.点此复制
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