Socio-Economic Class and Exposure to NO2 Air Pollution in the Netherlands

Background and objective: Many studies on air pollution ignore the spatial and temporal variation in population density. Newly developed activity-based transport models have the ability to retain demographic and socio-economic data about the people making trips and performing activities in different locations throughout the day. In this way exposure analysis can be disaggregated by subgroups in the population. Methods: The activity-based model Albatross was used to model activities and trips for all individuals in the Netherlands for 4000 population zones. Air quality was modeled with AURORA, a 3-dimensional Eulerian model, at a resolution of 3x3 km. Resulting hourly concentration data were combined with hourly population data derived from the activity-based model to provide detailed dynamic exposure assessments. We focus on specific differences in NO2 exposure due to different time-activity patterns in different income groups. Results: People belonging to the lowest socio-economic group (income

Jaar van publicatie:2009

Toegankelijkheid:Closed