ePrints

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

Lookup NU author(s): Professor Margaret Carol Bell CBE, Dr Paul Goodman

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

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)). (C) 2015 Elsevier Ltd. All rights reserved.

Publication metadata

Author(s): Morley DW, de Hoogh K, Fecht D, Fabbri F, Bell M, Goodman PS, Elliott P, Hodgson S, Hansell AL, Gulliver J

Publication type: Article

Publication status: Published

Journal: Environmental Pollution

Year: 2015

Volume: 206

Pages: 332-341

Print publication date: 01/11/2015

Online publication date: 29/07/2015

Acceptance date: 18/07/2015

ISSN (print): 0269-7491

ISSN (electronic): 1873-6424

Publisher: Elsevier

URL: http://dx.doi.org/10.1016/j.envpol.2015.07.031

DOI: 10.1016/j.envpol.2015.07.031

Altmetrics

Funding

Share