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Combining a Multi-Objective Approach and Multi-Criteria Decision Analysis to Include the Socio-Economic Dimension in an Air Quality Management Problem

1
DIMI, University of Brescia, via Branze 38, 25123 Brescia, Italy
2
Laboratory of Heat Transfer and Environmental Engineering, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Atmosphere 2019, 10(7), 381; https://doi.org/10.3390/atmos10070381
Received: 18 June 2019 / Revised: 3 July 2019 / Accepted: 4 July 2019 / Published: 9 July 2019
(This article belongs to the Special Issue Air Quality Control and Planning)
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PDF [1696 KB, uploaded 9 July 2019]
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Abstract

Due to some harmful effects on humans and the environment, particulate matter (PM) has recently become among the most studied atmospheric pollutants. Given the growing sensitivity to the problem and, since production and accumulation phenomena involving both primary and secondary P M 10 fractions are complex and non-linear, environmental authorities need tools to assess their plans designed to improve the air quality as requested from environmental laws. Multi-criteria decision analysis (MCDA) can be applied to support decision makers, by processing quantitative opinions provided by pools of experts, especially when different views on social aspects should be considered. The results obtained through this approach, however, can be highly dependent on the subjectivity of experts. To partially overcome these challenges, this paper suggests a two-step methodology in which an MCDA is fed with the solution of a multi-objective analysis (MOA). The methodology has been applied to a test case in northern Italy and the results show that this approach is a viable solution for the inclusion of subjective criteria in decision making, while reducing the impact of uncertain expert opinions for data that can be computed through the MOA. View Full-Text
Keywords: integrated assessment modelling; decision support systems; multi-objective approach; environmental modelling; air quality; multi-criteria decision analysis integrated assessment modelling; decision support systems; multi-objective approach; environmental modelling; air quality; multi-criteria decision analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Turrini, E.; Vlachokostas, C.; Volta, M. Combining a Multi-Objective Approach and Multi-Criteria Decision Analysis to Include the Socio-Economic Dimension in an Air Quality Management Problem. Atmosphere 2019, 10, 381.

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