Feasibility study for using the CNOSSOS-EU road traffic noise prediction model with low resolution inputs for exposure estimation on a Europe-wide scale

John Gulliver, David Morley, Daniela Fecht, Federico Fabbri, Paul Elliott, Anna Hansell, Susan Hodgson, Kees de Hoogh, Margaret Bell, Paul Goodman

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

A noise model based on the CNOSSOS-EU method was developed to estimate exposures to road traffic noise at individual address locations for studies of noise and health in European cohorts in the EU FP7 BioSHaRE project. We assessed the loss in model performance from necessarily (i.e. at national scale) using low resolution data on traffic flows, road geography and land cover. To assess the feasibility of this approach in terms of the loss of model performance, we applied CNOSSOS-EU with different combinations of high- and low-resolution inputs (e.g. high resolution road geography with low resolution land cover) and compared noise level estimates with measurements of LAeq1hr from 38 locations in Leicester, a medium sized city in the UK. The lowest resolution model performed reasonably well in terms of correlation [rs = 0.75; p = 0.000)] but with relatively large model errors [RMSE = 4.46 dB(A)]. For a sample of postcode (zip code) locations (n=721) in Leicester, in comparing output from Model A (highest resolution) and Model F (lowest resolution), 81.8% and 72.8% of exposure estimates remained in the lowest and highest of three equal exposure categories, respectively.

Original languageEnglish
Pages481-486
Number of pages6
Publication statusPublished - 2015
Externally publishedYes
Event10th European Congress and Exposition on Noise Control Engineering, Euronoise 2015 - Maastricht, Netherlands
Duration: 1 Jun 20153 Jun 2015

Conference

Conference10th European Congress and Exposition on Noise Control Engineering, Euronoise 2015
Country/TerritoryNetherlands
CityMaastricht
Period1/06/153/06/15

Bibliographical note

Funding Information:
The research received funding from the European Union Seventh Framework Programme (FP7/2007- 2013) under grant agreement n° 261433 (Biobank Standardisation and Harmonisation for Research Excellence in the European Union - BioSHaRE-EU).

Funding Information:
The research received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n? 261433 (Biobank Standardisation and Harmonisation for Research Excellence in the European Union - BioSHaREEU).

Publisher Copyright:
Copyright © (2015) by EAA-NAG-ABAV, All rights reserved

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