J
James Tate
Researcher at University of Leeds
Publications - 88
Citations - 2861
James Tate is an academic researcher from University of Leeds. The author has contributed to research in topics: Cold start (automotive) & Air quality index. The author has an hindex of 24, co-authored 83 publications receiving 2286 citations.
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Exposure to traffic-related air pollution and risk of development of childhood asthma: A systematic review and meta-analysis
TL;DR: The hypothesis that childhood exposure to TRAP contributes to their development of asthma is supported, as the overall risk estimates from the meta-analyses showed statistically significant associations for BC, NO2, PM2.5, PM10 exposures and risk of asthma development.
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Total cost of ownership and market share for hybrid and electric vehicles in the UK, US and Japan
TL;DR: In this paper, the authors compared the total cost of ownership of conventional, hybrid, plug-in hybrid and battery electric vehicles in three industrialized countries (UK, USA and Texas) for the time period 1997-2015.
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Recent evidence concerning higher NOx emissions from passenger cars and light duty vehicles
TL;DR: In this article, a comprehensive analysis of recent vehicle emissions remote sensing data from seven urban locations across the UK was carried out, and the authors found that there are significant discrepancies between current UK/European estimates of NO x emissions and those derived from the remote sensing datasets for several important classes of vehicle.
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Introduction to the DAPPLE Air Pollution Project.
S Arnold,Helen ApSimon,Janet F. Barlow,Stephen E. Belcher,Margaret Bell,J.W.D. Boddy,Rex Britter,H. Cheng,R.D.R. Clark,R. N. Colvile,Sani Dimitroulopoulou,Adrian Dobre,B. R. Greally,S. Kaur,A. Knights,T. Lawton,A. P. W. Makepeace,Damien Martin,Marina Neophytou,S. Neville,Mark J. Nieuwenhuijsen,Graham Nickless,C. S. Price,Alan Robins,Dudley E. Shallcross,Peter Simmonds,R. J. Smalley,James Tate,Alison S. Tomlin,H. Wang,P.T. Walsh +30 more
TL;DR: The background of the DAPPLE project, the study design and methodology for data collection, some preliminary results from the first field campaign in central London, the future for this work and the future of the street canyon intersection are introduced.
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Modelling and assessing trends in traffic-related emissions using a generalised additive modelling approach
TL;DR: In this paper, a generalised additive modeling (GAM) approach is used to model daily concentrations of nitrogen oxides (NOX), nitrogen dioxide (NO2), carbon monoxide (CO), benzene and 1,3-butadiene at a busy street canyon location in central London.