Assessing How Road Traffic Emissions in London Have Changed Over the Covid-19 Pandemic

Hasnayn Yousaf, Yijing Li

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

The COVID-19 pandemic had radically changed mobility patterns across cities and continued to evolve as efforts to manage the post pandemic recovery. As cities went into lockdown, they reported historic decreases in air pollution levels. However, little research has explored in detail how road traffic emissions have changed over the pandemic in London. This study implements a series of GWR (geographically weighted regression) models to assess detailed spatial changes in NOX, CO 2 , PM 2.5 and PM 10 vehicle emissions. Additionally, it also explores the impact of sustainable mobility policies and schemes rolled out over the pandemic with respect to vehicle emissions. Results show that while the spatial profile of emissions has shifted, the overall distribution of emissions is not too dissimilar to pre-pandemic levels. Additionally, for the most part, roads with sustainable mobility schemes situated on them do not exhibit statically significant decreases in emission levels with respect to pre-pandemic levels.
Original languageEnglish
Title of host publicationProceedings - 2023 30th International Conference on Geoinformatics, Geoinformatics 2023
EditorsShixiong Hu, Xinyue Ye, Hui Lin, Lan Mu, Tao Cheng, Huanfa Chen
PublisherIEEE
ISBN (Electronic)9798350344240
DOIs
Publication statusPublished - Oct 2023

Publication series

NameInternational Conference on Geoinformatics
Volume2023-July
ISSN (Print)2161-024X
ISSN (Electronic)2161-0258

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