当前位置: X-MOL 学术J. Transp. Health › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Using floating bike data to determine cyclist exposure to poor air quality
Journal of Transport & Health ( IF 3.613 ) Pub Date : 2021-01-17 , DOI: 10.1016/j.jth.2021.101008
Ian Smith , Brian Caulfield , Shreya Dey

Introduction

The World Health Organisation (WHO) claims that 9 out of 10 people breath air containing high levels of pollutants, while air pollution itself is responsible for around 7 million premature deaths every year (WHO, 2014). This paper aims to determine the health impacts of such air pollutants on the cyclist population of Dublin City through the use of floating bike data and emission modelling software.

Methods

Through the use of COPERT Street Level vehicle emissions are estimated and Operational Street Pollution Model, NO2 and PM2.5 quantities and NO2 concentrations were modelled on four separate roads that had been identified as some of the busiest cycle corridors in Dublin city through the use of floating bike data. The NO2 quantities were then used to estimate the associated economic impact and concentrations were used to estimate the health impact on the exposed cyclist population using the WHO Burden of Disease (BOD) method.

Results

The results suggested that as much as 18.4 million Euro worth of damage is done each year on just one of the four roads modelled in this research, indicating that the total damage being done in Dublin city could reach into the billions a year, as this is only considering NO2 pollution on one road. In terms of the BOD results, it was calculated that as many as 37 premature deaths could be caused due to exposure to the NO2 concentrations modelled, resulting in 412 Years of Life Lost (YLL).

Conclusions

Through the use of modelled scenarios where the fleet configuration changes, the findings of this study create an argument that significant measures need to be taken to reduce the air pollution levels in Dublin in order to prevent the needless infliction of disease and premature death on the relevant exposed population.



中文翻译:

使用浮动自行车数据确定骑自行车的人暴露于不良空气质量中

介绍

世界卫生组织(WHO)声称,十分之九的人呼吸含有高水平污染物的空气,而空气污染本身每年导致约700万人过早死亡(WHO,2014)。本文旨在通过使用浮动自行车数据和排放建模软件来确定此类空气污染物对都柏林市骑自行车者的健康影响。

方法

通过使用COPERT街道水平车辆的排放量进行估算,并在四个独立的道路上模拟了可操作的街道污染模型,NO 2和PM 2.5的数量以及NO 2浓度,这些道路被确定为都柏林市一些最繁忙的自行车道。浮动自行车数据。然后,使用WHO疾病负担(BOD)方法,将NO 2的量用于估计相关的经济影响,并使用浓度来估计对骑自行车的人的健康影响。

结果

结果表明,仅在该研究建模的四条道路之一上,每年就造成了高达1,840万欧元的损失,这表明都柏林市每年造成的总损失可能达到数十亿欧元。仅考虑一条道路上的NO 2污染。根据BOD结果,据计算,由于暴露于模型中的NO 2浓度,可能导致多达37例过早死亡,导致412年生命损失(YLL)。

结论

通过使用机队配置发生变化的模拟情景,本研究的发现提出了一个论点,即需要采取重大措施来降低都柏林的空气污染水平,以防止不必要地造成疾病和过早死亡。裸露的人口。

更新日期:2021-01-18
down
wechat
bug