|Title||International scale implementation of the CNOSSOS-EU road traffic noise prediction model for epidemiological studies.|
|Publication Type||Journal Article|
|Year of Publication||2015|
|Authors||Morley DW, de Hoogh K, Fecht D, Fabbri F, Bell M, Goodman PS, Elliott P, Hodgson S, Hansell AL, Gulliver J|
|Date Published||2015 Nov|
|Keywords||Cohort Studies, Environmental Exposure, Europe, Feasibility Studies, Humans, Models, Theoretical, Noise, Transportation|
The EU-FP7-funded BioSHaRE project is using individual-level data pooled from several national cohort studies in Europe to investigate the relationship of road traffic noise and health. The detailed input data (land cover and traffic characteristics) required for noise exposure modelling are not always available over whole countries while data that are comparable in spatial resolution between different countries is needed for harmonised exposure assessment. Here, we assess the feasibility using the CNOSSOS-EU road traffic noise prediction model with coarser input data in terms of model performance. Starting with a model using the highest resolution datasets, we progressively introduced lower resolution data over five further model runs and compared noise level estimates to measurements. We conclude that a low resolution noise model should provide adequate performance for exposure ranking (Spearman's rank = 0.75; p < 0.001), but with relatively large errors in predicted noise levels (RMSE = 4.46 dB(A)).
|Alternate Journal||Environ. Pollut.|
International scale implementation of the CNOSSOS-EU road traffic noise prediction model for epidemiological studies.