Research on the Nonlinear Relationship Between Carbon Emissions from Residential Land and the Built Environment: A Case Study of Susong County, Anhui Province Using the XGBoost-SHAP Model

Research on the Nonlinear Relationship Between Carbon Emissions from Residential Land and the Built Environment: A Case Study of Susong County, Anhui Province Using the XGBoost-SHAP Model

Residential land is the basic unit of urban-scale carbon emissions (CEs). Quantifying and predicting CEs from residential land are conducive to achieving urban carbon neutrality. This study took 84 residential communities in Susong County, Anhui Province as its research object, exploring the nonline...

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Bibliographic Details
Main Authors: Congguang Xu, Wei Xiong, Simin Zhang, Hailiang Shi, Shichao Wu, Shanju Bao, Tieqiao Xiao
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Land
Subjects:
residential land
machine learning
XGBoost model
SHAP algorithm
carbon emissions
built environment factors
Online Access:https://www.mdpi.com/2073-445X/14/3/440
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