Interpretable GBDT Model for Analysing Ridership Mechanisms in Urban Rail Transit: A Case Study in Shenzhen

Interpretable GBDT Model for Analysing Ridership Mechanisms in Urban Rail Transit: A Case Study in Shenzhen

With the acceleration of urbanisation and the diversification of residents’ travel needs, rail transit plays a critical role in mitigating traffic congestion. However, existing studies predominantly rely on linear models, neglecting the nonlinear effects and spatial heterogeneity of built environmen...

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Bibliographic Details
Main Authors: Wenjing Wang, Haiyan Wang, Jian Xu, Chengfa Liu, Shipeng Wang, Qing Miao
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
built environment factor
multiscale geographically weighted regression model
gradient boosting decision tree model
nonlinear effect
spatial heterogeneity
threshold effects
Online Access:https://www.mdpi.com/2076-3417/15/7/3835
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