International scale implementation of the CNOSSOS-EU road traffic noise prediction model for epidemiological studies

D. W. Morley*, K. De Hoogh, D. Fecht, F. Fabbri, M. Bell, P. S. Goodman, P. Elliott, S. Hodgson, A. Hansell, J. Gulliver

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

66 Citations (Scopus)


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)).

Original languageEnglish
Pages (from-to)332-341
Number of pages10
JournalEnvironmental Pollution
Publication statusPublished - 1 Aug 2015
Externally publishedYes

Bibliographical note

Funding Information:
The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement no 261433 (Biobank Standardisation and Harmonisation for Research Excellence in the European Union – BioSHaRE-EU). The Leicester area LiDAR DTM was supplied free of charge by the Environment Agency Geomatics Group. Leicester City Council is thanked for permission and support during noise measurement campaigns carried out in the HEARTS project (Energy, Environment and Sustainable Development Thematic Programme of the European Commission , contract: QLK4-CT-2001-00492). P.E. acknowledges support from the National Institute for Health Research (NIHR) Imperial College Healthcare NHS Trust and Imperial College Biomedical Research Centre , the MRC-PHE Centre for Environment and Health , and the NIHR Health Protection Research Unit on Health Impact of Environmental Hazards; he is an NIHR Senior Investigator. The views expressed are those of the author and not necessarily those of the NHS, the NIHR or the U.K. Department of Health.

Publisher Copyright:
© 2015 Elsevier Ltd. All rights reserved.


  • Exposure assessment
  • GIS
  • L<inf>Aeq</inf>
  • Noise pollution
  • Road traffic


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