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Lookup NU author(s): Professor Margaret Carol Bell CBE, Dr Paul Goodman
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
This paper describes the development of a model for assessing TRAffic Noise EXposure (TRANEX) in an open-source geographic information system. Instead of using proprietary software we developed our own model for two main reasons: 1) so that the treatment of source geometry, traffic information (flows/speeds/spatially varying diurnal traffic profiles) and receptors matched as closely as possible to that of the air pollution modelling being undertaken in the TRAFFIC project, and 2) to optimize model performance for practical reasons of needing to implement a noise model with detailed source geometry, over a large geographical area, to produce noise estimates at up to several million address locations, with limited computing resources. To evaluate TRANEX, noise estimates were compared with noise measurements made in the British cities of Leicester and Norwich. High correlation was seen between modelled and measured LAeq,1hr (Norwich: r = 0.85, p = .000; Leicester: r = 0.95, p = .000) with average model errors of 3.1 dB. TRANEX was used to estimate noise exposures (LAeq,1hr, LAeq,16hr, Lnight) for the resident population of London (2003–2010). Results suggest that 1.03 million (12%) people are exposed to daytime road traffic noise levels ≥ 65 dB(A) and 1.63 million (19%) people are exposed to night-time road traffic noise levels ≥ 55 dB(A). Differences in noise levels between 2010 and 2003 were on average relatively small: 0.25 dB (standard deviation: 0.89) and 0.26 dB (standard deviation: 0.87) for LAeq,16hr and Lnight.
Author(s): Gulliver J, Morley D, Vienneau D, Fabbri F, Bell MC, Goodman P, Beevers S, Dajnak D, Kelly FJ, Fecht D
Publication type: Article
Publication status: Published
Journal: Environmental Modelling & Software
Year: 2015
Volume: 74
Pages: 183-193
Print publication date: 01/12/2015
Online publication date: 08/01/2015
Acceptance date: 21/12/2014
Date deposited: 21/09/2015
ISSN (print): 1364-8152
ISSN (electronic): 1873-6726
Publisher: Pergamon Press
URL: http://dx.doi.org/10.1016/j.envsoft.2014.12.022
DOI: 10.1016/j.envsoft.2014.12.022
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