M
Margaret Bell
Researcher at Newcastle University
Publications - 217
Citations - 4536
Margaret Bell is an academic researcher from Newcastle University. The author has contributed to research in topics: Air quality index & Traffic congestion. The author has an hindex of 34, co-authored 209 publications receiving 3864 citations. Previous affiliations of Margaret Bell include University of Nottingham & University of Leeds.
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Journal ArticleDOI
Local road traffic activity and the prevalence, severity, and persistence of wheeze in school children: combined cross sectional and longitudinal study
Andrea Venn,Sarah Lewis,Marie Cooper,Richard Hubbard,Ian Hill,Rachel Boddy,Margaret Bell,John Britton +7 more
TL;DR: Investigation of the relation between local road traffic activity and the occurrence, severity, and persistence of wheeze in children in the Nottingham area found traffic activity in the school locality is not a major determinant of wheedling in children.
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Real-World Vehicle Exhaust Emissions Monitoring. Review and Critical Discussion
TL;DR: In this paper, the use of vehicle emissions monitoring methods (e.g., in-situ methods such as tunnel, inverse dispersion, and remote sensing studies, and in-traffic measures such as probe vehicle and car chaser) to provide real-world emission estimates is reviewed and discussed in detail.
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Development of an open-source road traffic noise model for exposure assessment
John S. Gulliver,David Morley,Danielle Vienneau,Federico Fabbri,Margaret Bell,Paul Goodman,Sean Beevers,David Dajnak,Frank J. Kelly,Daniela Fecht +9 more
TL;DR: The development of a model for assessing TRAffic Noise EXposure (TRANEX) in an open-source geographic information system so that the treatment of source geometry, traffic information and receptors matched as closely as possible to that of the air pollution modelling being undertaken in the TRAFFIC project.
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Risks of exceeding the hourly EU limit value for nitrogen dioxide resulting from increased road transport emissions of primary nitrogen dioxide
TL;DR: In this paper, the authors used a constrained simple chemical model to predict hourly concentrations of NO 2 at a busy roadside site in central London to investigate the dependence of peak hourly NO 2 on the level of assumed primary NO 2 emitted by road vehicles.
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International scale implementation of the CNOSSOS-EU road traffic noise prediction model for epidemiological studies
David Morley,K. de Hoogh,K. de Hoogh,Daniela Fecht,Federico Fabbri,Margaret Bell,Paul Goodman,Paul Elliott,Susan Hodgson,Anna Hansell,John S. Gulliver +10 more
TL;DR: A low resolution noise model should provide adequate performance for exposure ranking and with relatively large errors in predicted noise levels, the CNOSSOS-EU road traffic noise prediction model with coarser input data is concluded.