Street-level neighborhood greenery linked to active transportation: A case study in Milwaukee and Green Bay, WI, USA

住所 地理 积极生活 建筑环境 运输工程 体力活动 环境卫生 土木工程 人口学 工程类 医学 社会学 物理医学与康复
作者
Wei-Lun Tsai,Leah Yngve,Yuhong Zhou,Kirsten Beyer,Andrew J. Bersch,Kristen Malecki,Laura E. Jackson
出处
期刊:Landscape and Urban Planning [Elsevier BV]
卷期号:191: 103619-103619 被引量:53
标识
DOI:10.1016/j.landurbplan.2019.103619
摘要

Sedentary lifestyles contribute to many adverse health outcomes and pose concerns for public health worldwide. Studies show that road network design and greenery are critical, independent factors in supporting active lifestyles. Yet greenery along the road network has been insufficiently assessed. This study modelled individual weekly participation in active transportation (AT) using spatially refined measures of street versus overall neighborhood greenery in greater Milwaukee and Green Bay, Wisconsin, USA. Measures of AT (walking or biking for commutes or errands) were collected by the Survey of the Health of Wisconsin. Meter-scale landcover was used to estimate percent tree cover and aggregate greenery (tree and herbaceus cover combined) at increasing distances from each residence (n = 423) along neighborhood streets and in circular buffers. Street greenery metrics were designed to indicate the provision of ecosystem services, including shade and aesthetics, which promote physical activity by enhancing the safety and beauty of the publicly-accessible outdoor environment. Positive associations were consistently observed for street tree cover (e.g., adjusted odds ratio for a 10% increase in sidewalk tree cover within 500 m = 1.19; 95% CI: 1.02–1.40; and in street tree cover within 1250 m = 1.39; 95% CI: 1.09–1.79). Aggregate greenery was significant only in circular buffers, where it was negatively associated with AT. Sensitivity analysis revealed that herbaceous cover alone was consistently negatively associated with AT. Findings inform urban design to promote healthy lifestyles by distinguishing street tree cover as a positive factor in AT. Studies in additional geographic areas and causal designs are recommended.

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