Investigating the Nonlinear Relationship Between the Built Environment and Urban Vitality Based on Multi-Source Data and Interpretable Machine Learning

Investigating the Nonlinear Relationship Between the Built Environment and Urban Vitality Based on Multi-Source Data and Interpretable Machine Learning

Optimizing the built environment to foster urban vitality is essential for effective urban planning and sustainable development. Previous studies have predominantly focused on analyzing the relationship between the built environment and urban vitality at either a macro or micro-scale, often assuming...

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Bibliographic Details
Main Authors: Wenhao Liu, Zhen Yang, Chen Gui, Gen Li, Hongyi Xu
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Buildings
Subjects:
urban vitality
built environment
nonlinear relationship
XGBoost
interpretable machine learning
threshold effect
Online Access:https://www.mdpi.com/2075-5309/15/9/1414
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