Estimating Rail Transit Passenger Flow Considering Built Environment Factors: A Case Study in Shenzhen

Estimating Rail Transit Passenger Flow Considering Built Environment Factors: A Case Study in Shenzhen

This paper aims to analyze the influence mechanism of built environment factors on passenger flow by predicting the passenger flow of Shenzhen rail transit in the morning peak hour. Based on the classification of built environment factors into socio-economic variables, built environment variables, a...

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Bibliographic Details
Main Authors: Wenjing Wang, Haiyan Wang, Jun Liu, Chengfa Liu, Shipeng Wang, Yong Zhang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
rail transit
spatial heterogeneity
passenger flow forecast
built environment factor
ordinary least squares (OLS) regression model
geographically weighted regression (GWR) model
Online Access:https://www.mdpi.com/2076-3417/14/23/10799
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