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Exploring nonlinear and interaction effects of urban campus built environments on exercise walking using crowdsourced data

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成果类型:
期刊论文
作者:
Lu, Bo;Liu, Qingyun;Liu, Hao;Long, Tianxiang
通讯作者:
Liu, H
作者机构:
[Liu, Qingyun; Lu, Bo] Cent South Univ, Sch Architecture & Art, Changsha, Peoples R China.
[Lu, Bo] Hunan City Univ, Key Lab Urban Planning Informat Technol Hunan Prov, Yiyang, Peoples R China.
[Liu, Hao; Liu, H] Cent South Univ, Sch Geosci & Info Phys, Changsha, Peoples R China.
[Long, Tianxiang] Hunan City Univ, Coll Architecture & Urban Planning, Yiyang, Peoples R China.
[Long, Tianxiang] Hunan City Univ, Key Lab Digital Urban & Rural Spatial Planning Hun, Yiyang, Peoples R China.
通讯机构:
[Liu, H ] C
Cent South Univ, Sch Geosci & Info Phys, Changsha, Peoples R China.
语种:
英文
关键词:
exercise walking;interaction effects;machine learning;nonlinear relationships;university campus
期刊:
Frontiers in Public Health
ISSN:
2296-2565
年:
2025
卷:
13
页码:
1549786
机构署名:
本校为其他机构
院系归属:
建筑与城市规划学院
摘要:
INTRODUCTION: University campuses, with their abundant natural resources and sports facilities, are essential in promoting walking activities among students, faculty, and nearby communities. However, the mechanisms through which campus environments influence walking activities remain insufficiently understood. This study examines universities in Wuhan, China, using crowdsourced data and machine learning methods to analyze the nonlinear and interactive effects of campus built environments on exercise walking. METHODS: This study utilized crowdsourced exercise walking data and incorporated diver...

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