What factors influence the willingness and intensity of regular mobile physical activity?— A machine learning analysis based on a sample of 290 cities in China

What factors influence the willingness and intensity of regular mobile physical activity?— A machine learning analysis based on a sample of 290 cities in China

IntroductionThis study, based on Volunteered Geographic Information (VGI) and multi-source data, aims to construct an interpretable macro-scale analytical framework to explore the factors influencing urban physical activities. Using 290 prefecture-level cities in China as samples, it investigates th...

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Bibliographic Details
Main Authors: Hao Shen, Bo Shu, Jian Zhang, Yaoqian Liu, Ali Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Public Health
Subjects:
physical activity
willingness and intensity
socioeconomic factors
geographical environmental factors
built environmental factors
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1511129/full
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