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Association of street greenery and physical activity in older adults: A novel study using pedestrian-centered photographs

机译:老年人街道绿化和身体活动的协会:一种使用行人中心照片的小说研究

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Urban parks and tree-lined streets are major components of urban greenspaces, as well as the most frequently used public spaces for senior citizens. Studies have shown significant associations between urban greenspaces and various health outcomes of older adults. However, most of them focused on urban parks or overall vege-tation coverage, and few have considered the impact of street greenery. The lack of research attention on the latter is partly because of no method objectively measuring greenery exposure on streets, especially from a pedestrian-centered perspective. In the current study, we recruited 1161 adults aged 60 or above who lived in 12 housing estates in Wuhan, China, and collected their socio-demographic data and 7-day physical activity data. Streetscape photos were taken by trained researchers on sidewalks of all streets in the 800-m buffers from these housing estates. The pedestrian-centered street greenery exposure was extracted from these photos with the machine learning technique of convolutional neural networks along with the pyramid pooling module. Multilevel logistic regression models were conducted to examine the association of the frequency (>= 4 days) and total duration (>= 300 mins vs. < 300 mins) of physical activity with street greenery. Park area, population density, street connectivity, and land use mix within the buffer zone, as well as individual factors, were included as covariates in the models. Results showed that street greenery was positively associated with the odds of achieving 300 mins or more of physical activity per week, but the park area was not. Furthermore, street connectivity and land use mix were positively associated with both the frequency and total time of physical activity. Unexpectedly, population density was negatively associated with the frequency and total time of physical activity. Therefore, adding street greenery or improving existing street greenery can be a vital environment-intervention strategy to create an aging-friendly urban environment.
机译:城市公园和绿树成荫的街道是城市绿地的主要组成部分,也是老年人最常使用的公共空间。研究表明,城市绿地与老年人的各种健康结果之间存在显著关联。然而,大多数研究集中在城市公园或整体植被覆盖上,很少有人考虑街道绿化的影响。缺乏对后者的研究关注,部分原因是没有客观测量街道绿化暴露的方法,尤其是从以行人为中心的角度。在当前的研究中,我们招募了1161名60岁或以上的成年人,他们居住在中国武汉的12个住宅区,并收集了他们的社会人口数据和7天的体力活动数据。街道景观照片由训练有素的研究人员在这些住宅区800米缓冲区内所有街道的人行道上拍摄。利用卷积神经网络的机器学习技术和金字塔池模块,从这些照片中提取以行人为中心的街道绿化曝光。采用多水平logistic回归模型来检验体力活动的频率(>=4天)和总持续时间(>=300分钟vs.<300分钟)与街道绿化的关系。在模型中,公园面积、人口密度、街道连通性、缓冲区内的土地利用结构以及个体因素均被纳入协变量。结果表明,街道绿化与每周进行300分钟或更多体育活动的几率呈正相关,但公园区域则没有。此外,街道连通性和土地利用结构与体育活动的频率和总时间呈正相关。出乎意料的是,人口密度与体育活动的频率和总时间呈负相关。因此,增加街道绿化或改善现有街道绿化可以是创造老龄化友好城市环境的重要环境干预策略。

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