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Access to Soft-Surface Green Exercise Trails in Mountainous Urban Municipalities

机译:进入山区城市的软表面绿色运动步道

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摘要

Soft-surface exercise infrastructure (ie off-road, mountain, and dirt trails) has been a particularly valuable community asset in mountainous, urban municipalities. This off-road, trail infrastructure can encourage individuals to engage in green exercise (ie physical activity done outside while in nature, for example, mountainous trails and near waterways). Green exercise can be helpful for encouraging individuals to participate in exercise who otherwise may not; it is especially helpful for promoting mental well-being and a sense of being connected to the environment. This study characterizes trail access and predictors among urban, mountainous municipalities in the Utah Wasatch Front region. Access was determined using two-standard deviation ellipses (2SDE) activity space analysis, and predictors were identified using multiple linear regression. About 42% municipalities had no trailhead access (ie no trailhead within its corresponding activity space). Trail density and trailheads were significantly correlated (r = 0.49, P = .004). There was a significant trail density cluster in the southern area of the study region, centered all over the city of Alpine. Reduced-model regression yielded trailheads and home income as being significant predictors of trail density, and trail density and elevation as being significant predictors for trailheads. Results demonstrate patterns of access to green exercise trails that align with socioeconomic and municipal elevation. The results of this research should be insightful for those who work in exercise promotion and urban planners.
机译:软表面运动基础设施(即越野,山区和泥泞小路)已成为山区山区市政当局特别宝贵的社区资产。这种越野小径基础设施可以鼓励人们进行绿色运动(即,在大自然中室外进行的体育锻炼,例如山区小径和水道附近)。绿色运动有助于鼓励个人参加运动,否则他们可能不会参加;它对于促进心理健康和与环境的联系感特别有用。这项研究的特点是在犹他州沃萨奇锋线地区的城市,山区市政当局之间的路径访问和预测指标。使用两个标准偏差椭圆(2SDE)活动空间分析确定访问权限,并使用多元线性回归确定预测变量。约有42%的市政当局没有通行证(即在其相应活动空间内没有通行证)。径迹密度和径迹头显着相关(r = 0.49,P = 0.004)。在研究区域的南部地区,以整个阿尔卑斯城市为中心,存在着明显的足迹密度集群。简化模型回归得出的线索和房屋收入是线索密度的重要预测指标,而线索的密度和海拔高度则是线索的重要预测指标。结果表明,获得绿色锻炼路径的方式与社会经济和市政高度相吻合。这项研究的结果对于从事运动促进工作的人和城市规划者应该具有深刻的见解。

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