ArticleJournal of the Royal Society of New Zealand2025
Impact of road dust on local air pollution: a case study of Auckland, New Zealand.
Article in Journal of the Royal Society of New Zealand, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urban air pollution is significantly influenced by road traffic, with recent research highlighting the growing significance of non-exhaust emissions (NEEs) such as road dust, brake wear, and tyre abrasion. While electric vehicles offer a pathway to reducing tailpipe emissions, their environmental benefits may be offset by increased NEEs, especially from heavier vehicle fleets. This study investigates the contribution of road dust to PM₁₀ concentrations in Auckland, New Zealand, using a 13-year panel dataset (2006-2019) from three strategically located air quality monitoring sites. PM₁₀ data were sourced from GNS Science and derived through receptor modelling, while traffic flow data were obtained from the New Zealand Transport Agency. Employing panel regression models with fixed effects, we quantify the influence of road dust, meteorological variables such as temperature and wind speed, and heavy vehicle traffic on PM₁₀ levels. Our findings demonstrate that road dust is a dominant and statistically significant contributor to PM₁₀, exceeding traditional tailpipe sources even in a relatively wet climate. The study offers robust empirical insights into the complex dynamics between NEEs, vehicle fleets, and meteorology, providing valuable guidance for policymakers seeking cost-effective and targeted strategies to improve urban air quality in the transition to sustainable transport systems.
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