The Influence of Transportation Accessibility on Traffic Volumes in South Korea: An Extreme Gradient Boosting Approach

This study explored how transportation accessibility and traffic volumes for automobiles, buses, and trucks are related. This study employed machine learning techniques, specifically the extreme gradient boosting decision tree model (XGB) and Shapley Values (SHAP), with national data sources in Sout...

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Bibliographic Details
Main Authors: Sangwan Lee, Jicheol Yang, Kuk Cho, Dooyong Cho
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Urban Science
Subjects:
Online Access:https://www.mdpi.com/2413-8851/7/3/91