首页> 外文期刊>Annals of the American Thoracic Society >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:了解骑自行车司机对交通相关空气污染的潜在暴露:从埃尔帕索,德克萨斯州使用Strava Metro数据的调查结果

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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:由于骑自行车的道路可能会导致不良的健康影响,迫切需要了解自行车路线如何将骑自行车的人暴露于交通排放。监测资源有限揭示自行车旅行模式可能会限制在网络水平上的这种理解。本研究审查了骑自行车司机在德克萨斯州埃尔帕索的交通相关空气污染的潜在暴露,采用Strava地铁数据在城市网络上揭示了自行车模式。进行了初始空间映射分析,以探讨骑自行车和交通污染物排放的空间模式,其次是探索性描述性统计。然后开发了一种空间自行车模型,以探讨影响El Paso患有骑自行诗活动的因素。分析结果表明,更高的自行车体积和更高水平的颗粒物(PM2.5)排放和更频繁的总线服务之间的显着关联,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)对骑自行车的显着影响。调查结果鼓励扩建这项研究,为骑自行车的人提供指导,其常规旅行在大量被贩运的道路上以及在该地区的高峰时段,并评估公路骑自行车的净健康影响。

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