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首页> 外文期刊>Building and Environment >Impacts of traffic and street characteristics on the exposure of cycling commuters to PM_(2.5) and PM_(10) in urban street environments
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Impacts of traffic and street characteristics on the exposure of cycling commuters to PM_(2.5) and PM_(10) in urban street environments

机译：交通与街道特征对城市街道环境中PM_（2.5）和PM_（10）曝光循环通勤者的影响

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摘要

Cycling commuters are a large and growing group in China. Cyclists might be exposed to higher than average risks from pollution owing to their proximity to traffic. The factors affecting cyclists' exposure in urban streets include the sources of traffic and the dispersion of pollutants. This study performs cycling mobile monitoring under calm weather conditions in a central business district of Fuzhou, China. Relative exposure concentration (REC) after background correction is proposed to examine exposure level and evaluate the impacts of traffic density and composition and to identify street characteristics (built environment features and roadside vegetation) that determine the exposure level distribution between and within different street segments. The averaged REC of 10 m buffers along the route with a spatial variability between segments ranged from 1.2 to 3.5 mu g/m(3) and 2.8-4.3 mu g/m(3) above the background level for PM2.5 and PM10. REC hotspots (4 mu g/m(3)) not only appeared frequently in wide streets with larger traffic volumes, but also in narrow streets with dense trees owing to the accumulation of particles contributed from emission and mad dust re-suspension caused by diesel trucks. In multivariable models, the street aspect ratio H/W and buildings spacing distance are the main factors influencing the REC variation in wide streets, whereas the leaf area index and canopy coverage percentage of the roadside vegetation explained 29-53% of the REC variation in narrow streets with dense trees. Our insights have the potential to inform traffic management and planning strategies designed to reduce cyclists' exposure to pollution in urban streets.
机译：骑自行车的通勤者是中国的一个大而增长的群体。由于他们对交通的邻近，骑自行车的人可能会暴露于污染的平均风险。影响城市街道暴露的因素包括交通来源和污染物的分散。本研究在中国福州福州市中央商业区的平静天气条件下进行骑自行车移动监测。建议在背景校正后进行相对曝光浓度（REC）来检查曝光水平，并评估交通密度和组成的影响，并识别街道间和内部曝光水平分布的街道特征（内置环境特征和路边植被）。沿着段之间的空间可变性的路线的平均REC在段之间的空间变异范围为1.2至3.5μg/ m（3）和2.8-4.3μg/ m（3），用于PM2.5和PM10的背景水平。 Rec Hotspots（> 4 mu g / m（3））不仅经常出现在具有较大交通量的宽街道中，而且在狭窄的街道上由于粒子的积累造成的粒子累积而导致的颗粒造成的巨大街道柴油车。在多变量的型号中，街道纵横比H / W和建筑物间距距离是影响宽街道REC变异的主要因素，而路边植被的叶面积指数和覆盖率占录制的29-53％狭窄的街道与致密的树木。我们的见解有可能通知交通管理和规划策略，旨在减少城市街道污染的骑自行车的人。

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  • 来源
    《Building and Environment》 |2021年第1期|107476.1-107476.11|共11页
  • 作者

    Hu Haibin; Chen Qinghua; Qian Qingrong; Lin Conghua; Chen Yilan; Tian Wenxin;

  • 作者单位

    Fujian Normal Univ Coll Environm Sci & Engn Fuzhou 350007 Peoples R China|Fujian Univ Technol Coll Architecture & Urban Planning Fuzhou 350118 Peoples R China;

    Fujian Normal Univ Coll Environm Sci & Engn Fuzhou 350007 Peoples R China|Fujian Key Lab Pollut Control & Resource Recyclin Fuzhou 350007 Peoples R China|Fujian Polytech Normal Univ Fuzhou 350300 Peoples R China;

    Fujian Normal Univ Coll Environm Sci & Engn Fuzhou 350007 Peoples R China|Fujian Key Lab Pollut Control & Resource Recyclin Fuzhou 350007 Peoples R China;

    Fujian Univ Technol Coll Architecture & Urban Planning Fuzhou 350118 Peoples R China;

    Fujian Univ Technol Coll Ecol Environm & Urban Construct Fuzhou 350118 Peoples R China;

    Fujian Univ Technol Coll Architecture & Urban Planning Fuzhou 350118 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Street characteristics; Mobile monitoring; Relative exposure concentration; Cycling commuters;

    机译：街道特征;移动监控;相对暴露浓度;骑自行车的通勤者;

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