Exploring nonlinear and interaction effects of TOD on housing rents using XGBoost

Understanding the relationship between transit-oriented development (TOD) and housing rents is crucial for formulating effective TOD strategies and optimizing housing market management. These strategies contribute to a healthy housing market and sustainable urban development. Traditional regression...

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Veröffentlicht in:	Cities Jg. 158; S. 105728
Hauptverfasser:	Peng, Chen, Yang, Shengfu, Zhang, Peng, Hu, Shougeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.03.2025
Schlagworte:	Housing rent Machine learning Nonlinear effect SHAP Transit-oriented development XGBoost SHAP Nonlinear effect Transit-oriented development XGBoost Housing rent Machine learning
ISSN:	0264-2751
Online-Zugang:	Volltext
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