Chair of Public Health and Health Services Research, Institute of Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Germany; Pettenkofer School of Public Health, Munich, Germany.
Chair of Public Health and Health Services Research, Institute of Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Germany; Pettenkofer School of Public Health, Munich, Germany.
Environ Int. 2024 Nov;193:109067. doi: 10.1016/j.envint.2024.109067. Epub 2024 Oct 10.
The current limit on NO concentrations of 40 μg/m, set by the European Union, has been regularly exceeded in Munich, Germany. This limit will likely be reduced towards the WHO recommended target of 10 μg/m3. Against this backdrop, the city implemented a selective diesel vehicle ban within the existing low-emission zone in February 2023, targeting Euro 4 and older diesel vehicles. Our study investigated the effect of Munich's selective diesel vehicle ban on NO concentrations, focusing on the half-year period following its implementation.
Our study utilized a synthetic control approach (primary analysis) and a controlled interrupted time series approach (secondary analysis). These quasi-experimental methodologies create a 'counterfactual' no-intervention scenario, enabling comparison between observed and counterfactual scenarios to estimate an intervention effect. We employed historical controls, using routine data from multiple monitoring stations located within and outside the low-emission zone for 2014 to 2022, and considered possible confounders.
NO concentrations within Munich's low-emission zone showed overall declining trends from August 2014 to July 2023. Effects of the selective diesel vehicle ban were small and wide confidence intervals indicate large uncertainty in the magnitude and direction of the effect. At Landshuter Allee, the average intervention effect was -2.67 μg/m (95 %-CI = [-12.72; 7.38]), at Stachus it was -2.74 μg/m (95 %-CI = [-9.91; 4.42]), and at Lothstrasse it was -1.03 μg/m (95 %-CI = [-7.75; 5.69]). The secondary analysis confirmed these findings, reinforcing uncertainty about the effect of the intervention.
Our study suggests that Munich's selective diesel vehicle ban had a limited effect on lowering NO concentrations. Possible explanations include the ban's focus on Euro 4 and older diesel vehicles, many exemptions to the selective ban, and unclear enforcement. This highlights that comprehensive approaches and ongoing, well-designed monitoring and evaluation are crucial for addressing urban air pollution and protecting public health.
德国慕尼黑的氮氧化物(NO)浓度经常超过欧盟设定的 40μg/m 的现行限值,且该限值可能会朝着世界卫生组织(WHO)推荐的 10μg/m3 目标值降低。在此背景下,该市于 2023 年 2 月在现有的低排放区实施了选择性柴油车禁令,目标是针对欧 4 及更早排放标准的柴油车。本研究调查了慕尼黑选择性柴油车禁令对 NO 浓度的影响,重点关注该禁令实施后的半年内。
我们使用了合成控制法(主要分析)和控制干预时间序列法(次要分析)。这些准实验方法创建了一个“反事实”无干预情景,通过比较观测情景和反事实情景来估计干预效果。我们使用了历史对照,使用了 2014 年至 2022 年位于低排放区内外的多个监测站的常规数据,并考虑了可能的混杂因素。
自 2014 年 8 月至 2023 年 7 月,慕尼黑低排放区内的 NO 浓度总体呈下降趋势。选择性柴油车禁令的效果很小,且置信区间较宽,表明效应的大小和方向存在较大不确定性。在 Landshuter Allee,平均干预效应为-2.67μg/m(95%置信区间[-12.72; 7.38]),在 Stachus 为-2.74μg/m(95%置信区间[-9.91; 4.42]),在 Lothstrasse 为-1.03μg/m(95%置信区间[-7.75; 5.69])。二次分析证实了这些发现,进一步增加了干预效果的不确定性。
本研究表明,慕尼黑的选择性柴油车禁令对降低 NO 浓度的效果有限。可能的解释包括该禁令针对的是欧 4 及更早排放标准的柴油车、许多豁免选择性禁令的情况以及执法不明确。这凸显了全面的方法以及持续、精心设计的监测和评估对于解决城市空气污染和保护公众健康至关重要。