DocumentCode :
3721456
Title :
Analysis of China railway passenger volume´s influence factors based on principal component regression
Author :
Song Gu; Xiaochun Lu
Author_Institution :
School of Economics and Management, Beijing Jiaotong University, China, 100044
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
5
Abstract :
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.
Keywords :
"Rail transportation","Mathematical model","Linear regression","Correlation","Yttrium","Analytical models","Economics"
Publisher :
ieee
Conference_Titel :
Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on
Type :
conf
DOI :
10.1109/LISS.2015.7369737
Filename :
7369737
Link To Document :
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