Open AccessStatistical Research on the Influencing Factors of Zhengzhou Metro Passenger Flow
Author(s) -
Xinna Liu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/831/1/012079
Subject(s) - principal component analysis , transport engineering , software , flow (mathematics) , popularity , statistical analysis , statistical software , matlab , engineering , computer science , statistics , mathematics , psychology , social psychology , geometry , software engineering , artificial intelligence , programming language , operating system
Subway passenger flow refers to the number of people entering the subway per unit time, which is an important indicator reflecting the popularity and value of the subway. This paper selects Zhengzhou Metro Line 1, which is currently the most mature and has the most complete passenger flow data in Zhengzhou City. First, using SPSS software to perform principal component analysis on the original data. Second, using MATLAB software to further process the data processed by principal component analysis. Finally, through the establishment of a gray correlation model, the results of Lanzhai Station on Zhengzhou Metro Line 1 are obtained that its import and export passenger flow has the most significant impact on the passenger flow of Zhengzhou Metro Line 1.