Mohajeri, N; Walch, A; Gudmundsson, A; Heaviside, C; Askari, S; Wilkinson, P and Davies, M (2021) COVID-19 mobility restrictions: Impacts on urban air quality and health. Buildings and Cities, 2(1), pp. 759-778. ISSN 2632-6655
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.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | air pollution; air quality; cities; Covid-19; environmental health; lockdown; machine learning; mobility; NO<sub>2</sub>; PM<sub>2.5</sub>; public health; transport; vehicles |
Date Deposited: | 11 Apr 2025 12:43 |
Last Modified: | 11 Apr 2025 12:43 |