Study of Factors Influencing Thermal Comfort at Tram Stations in Guangzhou Based on Machine Learning

As global climate change intensifies, the frequency and severity of extreme weather events continue to rise. However, research on semi-outdoor and transitional spaces remains limited, and transportation stations are typically not fully enclosed. Therefore, it is crucial to gain a deeper understandin...

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Bibliographic Details

Published in:	Buildings
Main Authors:	Xin Chen, Huanchen Zhao, Beini Wang, Bo Xia
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Subjects:	machine learning SHAP analysis outdoor thermal comfort tram stations model prediction
Online Access:	https://www.mdpi.com/2075-5309/15/6/865