Analyzing the Passenger Flow of Urban Rail Transit Stations by Using Entropy Weight-Grey Correlation Model: A Case Study of Shanghai in China

In this paper, the factors influencing the passenger flow of rail transit stations in Shanghai of China are studied by using the entropy weight-grey correlation model. The model assumptions and the corresponding variables are proposed, including traffic accessibility, built environment, regional cha...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Pei Yin, Jing Cheng, Miaojuan Peng
Format:	Article
Language:	English
Published:	MDPI AG 2022-09-01
Subjects:	rail transit station passenger flow influencing factor mathematical model entropy weight-grey correlation model
Online Access:	https://www.mdpi.com/2227-7390/10/19/3506