非线性系统
目的地
人口
地理
随机森林
建筑环境
环境科学
磁道(磁盘驱动器)
比例(比率)
运输工程
环境资源管理
计算机科学
生态学
工程类
地图学
人口学
物理
生物
人工智能
社会学
量子力学
考古
旅游
操作系统
作者
Yong Liu,Yingpeng Li,Wei Yang,Jie Hu
标识
DOI:10.1016/j.apgeog.2023.102990
摘要
Outdoor jogging is a beneficial and replicable physical activity (PA). The nonlinear effects of the built environment (BE) on jogging fitness received little attention, compared with the widely-concerned linear effects of BE on walking and cycling PA. We explore nonlinear effects at trip and origins/destinations (OD) levels in the case of Chengdu using Random Forest, based on large-scale jogging trajectory data recorded by a fitness app. The major findings include: (1) BE factors exert diverse nonlinear effects on jogging at trip and OD levels. (2) Quantity and accessibility of facilities contribute largely to model predictive power. (3) Nonlinear effects are symmetrical for O/D of jogging, unlike long-distance travel. Distance to park, distance to track, and population density show U-shaped effects on OD volume. (4) Effective ranges and thresholds in nonlinear effects vary across trip/OD levels. The findings call for environmental intervention to promote PA.
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