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探索城市校园建筑环境对运动行走的非线性和相互作用影响,使用众包数据

Bo Lu^1,2, Qingyun Liu¹, Hao Liu³

¹School of Architecture and Art, Central South University, Changsha, China.

Frontiers in public health

|February 14, 2025

概括

校园环境对行走有很大的影响. 通过机器学习分析的体育场地,水域和绿地,显示出独特的非线性效应和相互作用,指导可持续的校园设计.

科学领域:

环境科学环境科学
城市规划城市规划
公共卫生公共卫生

背景情况:

大学校园对于促进体育活动至关重要,但影响行走的特定环境因素仍然不清楚.
了解这些机制对于设计更健康,更可持续的校园环境至关重要.

研究的目的:

用机器学习分析校园建筑环境对运动行走的非线性和交互效应.
确定促进学生,教师和社区步行活动的关键环境因素.

主要方法:

利用众包运动步行数据和各种校园特征.
应用了XGBoost算法和SHAP (夏普利添加式扩展) 来进行可解释的机器学习分析.
评估变量的重要性,非线性关系和相互作用效应.

主要成果:

体育场地的比例,水体的邻近,以及规范差异植被指数 (NDVI) 显著影响步行.
确定了明显的非线性效应,包括波动或U形模式,以及环境因素之间的强有力的协同相互作用.
六种校园区域类型对步行活动产生了显著影响.

结论:

校园建筑环境,特别是体育设施,绿地和水体,对行走有显著的互动影响.
优化这些元素的空间配置可以最大限度地提高它们对身体活动的积极影响.
调查结果为创建包容性,促进健康和可持续的校园提供了有针对性的建议.

关键词:

运动运动走路走路相互作用效应的相互作用效应.机器学习是机器学习.非线性关系是非线性关系.大学校园大学校园大学校园

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