Optimization of urban green space in Wuhan based on machine learning algorithm from the perspective of healthy city.
Journal:
Frontiers in public health
PMID:
40115330
Abstract
INTRODUCTION: Urban green spaces play a critical role in addressing health issues, ecological challenges, and uneven resource distribution in cities. This study focuses on Wuhan, where low green coverage rates and imbalanced green space allocation pose significant challenges. Adopting a healthy city development perspective, the research aims to assess the impact of green space optimization on urban health, economic performance, and social structure.