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Road Emissions in London: Insights from Geographically Detailed Classification and Regression Modelling

Sfyridis, A; Agnolucci, P; (2021) Road Emissions in London: Insights from Geographically Detailed Classification and Regression Modelling. Atmosphere , 12 (2) , Article 188. 10.3390/atmos12020188. Green open access

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Abstract

Greenhouse gases and air pollutant emissions originating from road transport continues to rise in the UK, indicating a significant contribution to climate change and negative impacts on human health and ecosystems. However, emissions are usually estimated at aggregated levels, and on many occasions roads of minor importance are not taken into account, normally due to lack of traffic counts. This paper presents a methodology enabling estimation of air pollutants and CO_{2} for each street segment in the Greater London area. This is achieved by applying a hybrid probabilistic classification–regression approach on a set of variables believed to affect traffic volumes and utilizing emission factors. The output reveals pollution hot spots and the effects of open spaces in a spatially rich dataset. Considering the disaggregated approach, the methodology can be used to facilitate policy making for both local and national aggregated levels.

Type: Article
Title: Road Emissions in London: Insights from Geographically Detailed Classification and Regression Modelling
Open access status: An open access version is available from UCL Discovery
DOI: 10.3390/atmos12020188
Publisher version: https://doi.org/10.3390/atmos12020188
Language: English
Additional information: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: greenhouse gases; air pollution; gradient boosting machine; GBM; probabilistic classification; annual average daily traffic (AADT); GIS
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
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10123962
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