Mohajeri, N;
Walch, A;
Gudmundsson, A;
Heaviside, C;
Askari, S;
Wilkinson, P;
Davies, M;
Covid-19 mobility restrictions: impacts on urban air quality and health.
Buildings and Cities
, 2
(1)
pp. 759-778.
10.5334/bc.124.
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Abstract
In 2020, Covid-19-related mobility restrictions resulted in the most extensive human-made air-quality changes ever recorded. The changes in mobility are quantified in terms of outdoor air pollution (concentrations of PM2.5 and NO2) and the associated health impacts in four UK cities (Greater London, Cardiff, Edinburgh and Belfast). After applying a weather-corrected machine learning (ML) technique, all four cities show NO2 and PM2.5 concentration anomalies in 2020 when compared with the ML-predicted values for that year. The NO2 anomalies are –21% for Greater London, –19% for Cardiff, –27% for Belfast and –41% for Edinburgh. The PM2.5 anomalies are 7% for Greater London, –1% for Cardiff, –15% for Edinburgh, –14% for Belfast. All the negative anomalies, which indicate air pollution at a lower level than expected from the weather conditions, are attributable to the mobility restrictions imposed by the Covid-19 lockdowns. Spearman rank-order correlations show a significant correlation between the lowering of NO2 levels and reduction in public transport (p < 0.05) and driving (p < 0.05), which is associated with a decline in NO2-attributable mortality. These positive effects of the mobility restrictions on public health can be used to evaluate policies for improved outdoor air quality.
| Type: | Article |
|---|---|
| Title: | Covid-19 mobility restrictions: impacts on urban air quality and health |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.5334/bc.124 |
| Publisher version: | https://doi.org/10.5334/bc.124 |
| Language: | English |
| Additional information: | © 2021 Published by Ubiquity Press. This is an Open Access article published under the terms of a Creative Commons licence (http://creativecommons.org/licenses/by/4.0). |
| Keywords: | air pollution, air quality, cities, Covid-19, environmental health, lockdown, machine learning, mobility, NO2, PM2.5, public health, transport, vehicles |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10134380 |
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