Tim Chatterton
Tim Chatterton
Independent Research and Consultancy
No verified email
TitleCited byYear
Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki
J Kukkonen, L Partanen, A Karppinen, J Ruuskanen, H Junninen, ...
Atmospheric Environment 37 (32), 4539-4550, 2003
A rigorous inter-comparison of ground-level ozone predictions
U Schlink, S Dorling, E Pelikan, G Nunnari, G Cawley, H Junninen, ...
Atmospheric Environment 37 (23), 3237-3253, 2003
Modelling SO2 concentration at a point with statistical approaches
G Nunnari, S Dorling, U Schlink, G Cawley, R Foxall, T Chatterton
Environmental Modelling & Software 19 (10), 887-905, 2004
An introduction to thinking about 'energy behaviour': a multi-model approach
T Chatterton
Department of Energy and Climate Change, 2011
Analysing cycling as a social practice: An empirical grounding for behaviour change
F Spotswood, T Chatterton, A Tapp, D Williams
Transportation research part F: traffic psychology and behaviour 29, 22-33, 2015
Multiple models to inform climate change policy: a pragmatic response to the ‘beyond the ABC’debate
C Wilson, T Chatterton
Environment and Planning A 43 (12), 2781-2787, 2011
Understanding how transport choices are affected by the environment and health: views expressed in a study on the use of carbon calculators
TJ Chatterton, A Coulter, C Musselwhite, G Lyons, S Clegg
Public health 123 (1), e45-e49, 2009
The development of effects-based air quality management regimes
JWS Longhurst, JG Irwin, TJ Chatterton, ET Hayes, NS Leksmono, ...
Atmospheric Environment 43 (1), 64-78, 2009
Assessment of the relationship between industrial and traffic sources contributing to air quality objective exceedences: a theoretical modelling exercise
NS Leksmono, JWS Longhurst, KA Ling, TJ Chatterton, BEA Fisher, ...
Environmental modelling & software 21 (4), 494-500, 2006
Local air quality management as a risk management process: Assessing, managing and remediating the risk of exceeding an air quality objective in Great Britain
JWS Longhurst, CI Beattie, TJ Chatterton, ET Hayes, NS Leksmono, ...
Environment international 32 (8), 934-947, 2006
The ‘Four Dimensions of Behaviour’framework: a tool for characterising behaviours to help design better interventions
T Chatterton, C Wilson
Transportation Planning and Technology 37 (1), 38-61, 2014
Exploring public attitudes to person carbon dioxide emissions information
A Coulter, S Clegg, G Lyons, T Chatterton, C Musselwhite
Mapping household direct energy consumption in the United Kingdom to provide a new perspective on energy justice
TJ Chatterton, J Anable, J Barnes, G Yeboah
Energy Research & Social Science 18, 71-87, 2016
Understanding parents' school travel choices: a qualitative study using the Theoretical Domains Framework
SM Ahern, B Arnott, T Chatterton, A de Nazelle, I Kellar, RRC McEachan
Journal of Transport & Health 4, 278-293, 2017
Use of a novel dataset to explore spatial and social variations in car type, size, usage and emissions
T Chatterton, J Barnes, RE Wilson, J Anable, S Cairns
Transportation Research Part D: Transport and Environment 39, 151-164, 2015
Air quality in Norwich, UK multi-scale modelling to assess the significance of city, county and regional pollution sources
T Chatterton, S Dorling, A Lovett, M Stephenson
Environmental Monitoring and Assessment 65 (1-2), 425-433, 2000
Carbon reduction scenarios for 2050: An explorative analysis of public preferences
P Allen, T Chatterton
Energy Policy 63, 796-808, 2013
Practice-theoretical possibilities for social marketing: two fields learning from each other
F Spotswood, T Chatterton, Y Morey, S Spear
Journal of Social Marketing, 2017
Regional collaborative urban air quality management: case studies across Great Britain
NK Woodfield, JWS Longhurst, CI Beattie, T Chatterton, DPH Laxen
Environmental Modelling & Software 21 (4), 595-599, 2006
Financial Implications of Car Ownership and Use: a distributional analysis based on observed spatial variance considering income and domestic energy costs
T Chatterton, J Anable, S Cairns, RE Wilson
Transport Policy 65, 30-39, 2018
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