Applying air pollution modelling within a multi-criteria decision analysis framework to evaluate UK air quality policies


Chalabi, Z; Milojevic, A; Doherty, RM; Stevenson, DS; MacKenzie, IA; Milner, J; Vieno, M; Williams, M; Wilkinson, P; (2017) Applying air pollution modelling within a multi-criteria decision analysis framework to evaluate UK air quality policies. Atmospheric environment (Oxford, England. ISSN 1352-2310 DOI: https://doi.org/10.1016/j.atmosenv.2017.08.057

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Abstract

A decision support system for evaluating UK air quality policies is presented. It combines the output from a chemistry transport model, a health impact model and other impact models within a multi-criteria decision analysis (MCDA) framework. As a proof-of-concept, the MCDA framework is used to evaluate and compare idealized emission reduction policies in four sectors (combustion in energy and transformation industries, non-industrial combustion plants, road transport and agriculture) and across six outcomes or criteria (mortality, health inequality, greenhouse gas emissions, biodiversity, crop yield and air quality legal compliance). To illustrate a realistic use of the MCDA framework, the relative importance of the criteria were elicited from a number of stakeholders acting as proxy policy makers. In the prototype decision problem, we show that reducing emissions from industrial combustion (followed very closely by road transport and agriculture) is more advantageous than equivalent reductions from the other sectors when all the criteria are taken into account. Extensions of the MCDA framework to support policy makers in practice are discussed.

Item Type: Article
Keywords: Air quality policies, Air pollution modelling, Decision analysis, Health impacts
Faculty and Department: Faculty of Public Health and Policy > Dept of Social and Environmental Health Research
URI: http://researchonline.lshtm.ac.uk/id/eprint/4367452

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