Analysis of China Railway Passenger Volume's Influence Factors Based on Principal Component Regression

摘要

Now the speed of the development of railway passenger transport market has exceeded the freight's, the proportion of passenger transport's income is constantly increasing in the total income, which makes it significant to find a simple and reliable method to analyze the factors that affect China railway passenger transport market. On the basis of relevant study, using the principal component regression theory, which can solve collinearity problems, this paper establish a multiple linear regression model, which has strong practical significance. Moreover, this paper studies how do related variables influence the change of railway passenger volume and the degrees of these influences quantificational.