摘要：Background: Health impact assessment (HIA) of exposure to air pollution is commonly based on city level (fine)
particle concentration and may underestimate health consequences of changing local traffic. Exposure to trafficrelated air pollution can be assessed at a high resolution by modelling levels of nitrogen dioxide (NO2), which
together with ultrafine particles mainly originate from diesel-powered vehicles in urban areas. The purpose of
this study was to estimate the health benefits of reduced exposure to vehicle emissions assessed as NO2 at the
residence among the citizens of Copenhagen Municipality, Denmark.
Methods: We utilized residential NO2 concentrations modelled by use of chemistry transport models to calculate
contributions from emission sources to air pollution. The DYNAMO-HIA model was applied to the population of
Copenhagen Municipality by using NO2 concentration estimates combined with demographic data and data from
nationwide registers on incidence and prevalence of selected diseases, cause specific mortality, and total mortality of the population of Copenhagen. We used exposure-response functions linking NO2 concentration estimates at the residential address with the risk of diabetes, cardiovascular diseases, and respiratory diseases derived from a large Danish cohort study with the majority of subjects residing in Copenhagen between 1971 and
2010. Different scenarios were modelled to estimate the dynamic impact of NO2 exposure on related diseases and
the potential health benefits of lowering the NO2 level in the Copenhagen Municipality.
Results: The annual mean NO2 concentration was 19.6 μg/m3 and for 70% of the population the range of exposure was between 15 and 21 μg/m3
. If NO2 exposure was reduced to the annual mean rural level of 6 μg/m3
,
life expectancy in 2040 would increase by one year. The greatest gain in disease-free life expectancy would be
lifetime without ischemic heart disease (1.4 years), chronic obstructive pulmonary disease (1.5 years for men
and 1.6 years for women), and asthma (1.3 years for men and 1.5 years for women). Lowering NO2 exposure by
20% would increase disease-free life expectancy for the different diseases by 0.3–0.5 years. Using gender specific
relative risks affected the results.
Conclusions: Reducing the NO2 exposure by controlling traffic-related air pollution reduces the occurrence of
some of the most prevalent chronic diseases and increases life expectancy. Such health benefits can be quantified
by DYNAMO-HIA in a high resolution exposure modelling. This paper demonstrates how traffic planners can
assess health benefits from reduced levels of traffic-related air pollution.
