Assessing environmental inequalities in ambient air pollution across urban Australia
Data(s) |
01/04/2015
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Resumo |
Identifying inequalities in air pollution levels across population groups can help address environmental justice concerns. We were interested in assessing these inequalities across major urban areas in Australia. We used a land-use regression model to predict ambient nitrogen dioxide (NO2) levels and sought the best socio-economic and population predictor variables. We used a generalised least squares model that accounted for spatial correlation in NO2 levels to examine the associations between the variables. We found that the best model included the index of economic resources (IER) score as a non-linear variable and the percentage of non-Indigenous persons as a linear variable. NO2 levels decreased with increasing IER scores (higher scores indicate less disadvantage) in almost all major urban areas, and NO2 also decreased slightly as the percentage of non-Indigenous persons increased. However, the magnitude of differences in NO2 levels was small and may not translate into substantive differences in health. |
Formato |
application/pdf |
Identificador | |
Publicador |
Elsevier |
Relação |
http://eprints.qut.edu.au/90246/3/90246.pdf DOI:10.1016/j.sste.2015.03.001 Knibbs, Luke D. & Barnett, Adrian G. (2015) Assessing environmental inequalities in ambient air pollution across urban Australia. Spatial and Spatio-temporal Epidemiology, 13, pp. 1-6. |
Direitos |
Copyright 2015 Elsevier Licensed under the Creative Commons Attribution; Non-Commercial; No-Derivatives 4.0 International. DOI: 10.1016/j.sste.2015.03.001 |
Fonte |
Faculty of Health; Institute of Health and Biomedical Innovation; School of Public Health & Social Work |
Palavras-Chave | #111705 Environmental and Occupational Health and Safety #Air pollution #Environmental justice #Indigenous #Socio-economic #Australia |
Tipo |
Journal Article |