In this section
@article{Ma:2023:10.1021/acs.est.2c09596,
author = {Ma, L and Graham, DJ and Stettler, MEJ},
doi = {10.1021/acs.est.2c09596},
journal = {ENVIRONMENTAL SCIENCE & TECHNOLOGY},
title = {Using Explainable Machine Learning to Interpret the Effects of Policies on Air Pollution: COVID-19 Lockdown in London},
url = {http://dx.doi.org/10.1021/acs.est.2c09596},
year = {2023}
}
TY - JOUR
AU - Ma,L
AU - Graham,DJ
AU - Stettler,MEJ
DO - 10.1021/acs.est.2c09596
PY - 2023///
SN - 0013-936X
TI - Using Explainable Machine Learning to Interpret the Effects of Policies on Air Pollution: COVID-19 Lockdown in London
T2 - ENVIRONMENTAL SCIENCE & TECHNOLOGY
UR - http://dx.doi.org/10.1021/acs.est.2c09596
ER -
Transport Strategy Centre
Department of Civil and Environmental Engineering
South Kensington Campus
Imperial College London
London SW7 2AZ - UK
enquiries.tsc@imperial.ac.uk or +44 (0)20 7594 5995