King's College London

Research portal

Air quality in enclosed railway stations: Quantifying the impact of diesel trains through deployment of multi-site measurement and random forest modelling

Research output: Contribution to journalArticle

Anna Font, Anja Tremper, Chun Lin, Max Priestman, Daniel Marsh, Michael Woods, M. R. Heal, David Green

Original languageEnglish
Article number114284
Early online date12 Mar 2020
Publication statusPublished - Jul 2020

King's Authors


Concentrations of the air pollutants (NO 2 and particulate matter) were measured for several months and at multiple locations inside and outside two enclosed railway stations in the United Kingdom – Edinburgh Waverly (EDB) and London King's Cross (KGX) – which, respectively, had at the time 59% and 18% of their train services powered by diesel engines. Average concentrations of NO 2 were above the 40 μg m −3 annual limit value outside the stations and were further elevated inside, especially at EDB. Concentrations of PM 2.5 inside the stations were 30–40% higher at EDB than outside and up to 20% higher at KGX. Concentrations of both NO 2 and PM 2.5 were highest closer to the platforms, especially those with a higher frequency of diesel services. A random-forest regression model was used to quantify the impact of numbers of different types of diesel trains on measured concentrations allowing prediction of the impact of individual diesel-powered rolling stock.

View graph of relations

© 2018 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454