Barcelona Supercomputing Center, Barcelona 08034, Spain.
Barcelona Supercomputing Center, Barcelona 08034, Spain.
Sci Total Environ. 2022 Feb 10;807(Pt 2):150743. doi: 10.1016/j.scitotenv.2021.150743. Epub 2021 Oct 9.
Barcelona city (Spain) is applying a series of traffic restriction measures that aim at renewing and reducing the amount of circulating vehicles to improve air quality. The measures include changes in the built environment to reduce private vehicle space in specific areas through the so-called "superblocks" and tactical urban planning actions, along with the implementation of a city-wide Low Emission Zone (LEZ) that restricts the entry of the most polluting vehicles to the city. Our study quantifies the impact of these measures in the greater area of Barcelona combining a coupled macroscopic traffic and pollutant emission model with a multi-scale air quality model. Our modelling system allows estimating the effect of different traffic restrictions upon traffic and the associated emissions and air quality levels at a very high resolution (20 m). The measures were evaluated both individually and collectively to assess both their relative and overall impact upon emissions and air quality. We show that in the absence of traffic demand reductions, the application of isolated measures that reduce private vehicle space, either through superblocks or tactical urban planning, have no overall emission impacts; only localized street-level NO positive and negative changes (±17%) are found due to traffic re-routing and the generation of new bottlenecks. It is only when these measures are combined with optimistic fleet renewal as a result of the LEZ implementation and demand reductions, that relevant global emission reductions in NO are obtained (-13% and -30%, respectively) with estimated NO reductions of -36% and -23% at the two traffic air quality monitoring stations. Despite the potential improvements, our simulations suggest that current measures are insufficient to comply with EU air quality standards and that further traffic restriction policies to reduce traffic demand are needed.
巴塞罗那市(西班牙)正在实施一系列交通限制措施,旨在更新和减少流通车辆的数量,以改善空气质量。这些措施包括通过所谓的“超级街区”和战术性城市规划行动改变建筑环境,减少特定区域内的私人汽车空间,以及实施全市范围的低排放区(LEZ),限制污染最严重的车辆进入城市。我们的研究通过将宏观交通和污染物排放模型与多尺度空气质量模型相结合,定量评估了这些措施对巴塞罗那大区域的影响。我们的建模系统可以在非常高的分辨率(20 米)下估计不同交通限制措施对交通和相关排放以及空气质量水平的影响。我们评估了这些措施的个体和综合效果,以评估它们对排放和空气质量的相对和总体影响。我们表明,在没有交通需求减少的情况下,应用单独的措施来减少私人汽车空间,无论是通过超级街区还是战术性城市规划,都不会对排放产生总体影响;仅由于交通改道和新瓶颈的产生,会导致街道层面的 NO 正、负变化(±17%)。只有当这些措施与 LEZ 实施和需求减少带来的乐观车队更新相结合时,才会在全球范围内减少 NO 排放(分别减少 13%和 30%),并在两个交通空气质量监测站估计减少 36%和 23%的 NO。尽管有潜在的改善,但我们的模拟表明,目前的措施不足以符合欧盟空气质量标准,需要进一步实施减少交通需求的交通限制政策。