首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Understanding Potential Exposure of Bicyclists on Roadways to Traffic-Related Air Pollution: Findings from El Paso Texas Using Strava Metro Data
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Understanding Potential Exposure of Bicyclists on Roadways to Traffic-Related Air Pollution: Findings from El Paso Texas Using Strava Metro Data

机译:了解公路上骑自行车的人与交通有关的空气污染的潜在暴露:得克萨斯州埃尔帕索的调查结果使用Strava地铁数据

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摘要

As bicycling on roadways can cause adverse health effects, there is an urgent need to understand how bicycle routes expose bicyclists to traffic emissions. Limited resources for monitoring reveal that bicycle travel patterns may constrain such understanding at the network level. This study examined the potential exposure of bicyclists to traffic-related air pollution in El Paso, Texas, using Strava Metro data that revealed bicycle patterns across the city networks. An initial spatial mapping analysis was conducted to explore the spatial patterns of bicycling and traffic pollutant emission, followed by exploratory descriptive statistics. A spatial bicycle model was then developed to explore factors influencing bicycling activity in El Paso. Analysis results indicated significant associations between greater bicycle volume and both higher levels of particulate matter (PM2.5) emissions and more frequent bus services, implying adverse health concerns related to traffic-related air pollution. The results also indicated significant effects of various environmental characteristics (e.g., roadway, bicycle infrastructure, topography, and demographics) on bicycling. The findings encourage extending this study to provide guidance to bicyclists whose regular trips take place on heavily trafficked roads and during rush hours in this region and to evaluate the net health impacts of on-road bicycling for the general population.
机译:由于在道路上骑自行车会造成不利的健康影响,因此迫切需要了解自行车路线如何使自行车骑手遭受交通排放。有限的监视资源表明,自行车出行方式可能会在网络级别上限制这种理解。这项研究使用Strava Metro数据揭示了整个城市网络中的自行车模式,研究了得克萨斯州埃尔帕索的自行车手可能遭受的交通相关空气污染。进行了初步的空间映射分析,以探索自行车和交通污染物排放的空间格局,然后进行探索性描述统计。然后开发了一种空间自行车模型,以探索影响埃尔帕索自行车活动的因素。分析结果表明,较大的自行车容量与较高的颗粒物(PM2.5)排放水平和更频繁的公交服务之间存在显着关联,这意味着与交通相关的空气污染有关的不利健康问题。结果还表明,各种环境特征(例如,道路,自行车基础设施,地形和人口统计学)对骑自行车产生了重大影响。这些发现鼓励继续开展这项研究,以为经常骑车的人提供指导,他们经常在该地区人流密集的道路上和高峰时段旅行,并评估公路骑车对普通人群的健康影响。

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