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.
Analysis of China railway passenger volume's influence factors based on principal component regression
2015-07-01
258215 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Passenger tank locomotive; Lung-Wo railway, China
Engineering Index Backfile | 1897
Railway passenger car carriage and railway passenger car
Europäisches Patentamt | 2015
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