A ombined MOIP-MCDA approach to building and screening atmospheric pollution control strategies in urban regions

Mavrotas, G; Ziomas, IC; Diakouaki, D

dc.contributor.author	Mavrotas, G	en
dc.contributor.author	Ziomas, IC	en
dc.contributor.author	Diakouaki, D	en
dc.date.accessioned	2014-03-01T01:23:22Z
dc.date.available	2014-03-01T01:23:22Z
dc.date.issued	2006	en
dc.identifier.issn	0364-152X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16933
dc.subject	Air pollution	en
dc.subject	Integer programming	en
dc.subject	Multiobjective programming	en
dc.subject	Multiple criteria	en
dc.subject.classification	Environmental Sciences	en
dc.subject.other	Air pollution	en
dc.subject.other	Air quality	en
dc.subject.other	Availability	en
dc.subject.other	Control system analysis	en
dc.subject.other	Integer programming	en
dc.subject.other	Optimization	en
dc.subject.other	Public policy	en
dc.subject.other	Standards	en
dc.subject.other	Multiobjective programming	en
dc.subject.other	Multiple criteria	en
dc.subject.other	PROMETHEE method	en
dc.subject.other	Social acceptance	en
dc.subject.other	Pollution control	en
dc.subject.other	atmospheric pollution	en
dc.subject.other	decision analysis	en
dc.subject.other	multiobjective programming	en
dc.subject.other	pollution control	en
dc.subject.other	standard (regulation)	en
dc.subject.other	air pollution control	en
dc.subject.other	air quality standard	en
dc.subject.other	article	en
dc.subject.other	decision making	en
dc.subject.other	environmental planning	en
dc.subject.other	Europe	en
dc.subject.other	financial management	en
dc.subject.other	Greece	en
dc.subject.other	mathematical model	en
dc.subject.other	Multiple criteria decision analysis	en
dc.subject.other	urban area	en
dc.subject.other	air pollution	en
dc.subject.other	city	en
dc.subject.other	economics	en
dc.subject.other	environmental protection	en
dc.subject.other	human	en
dc.subject.other	legal aspect	en
dc.subject.other	methodology	en
dc.subject.other	policy	en
dc.subject.other	theoretical model	en
dc.subject.other	Central Macedonia	en
dc.subject.other	Eurasia	en
dc.subject.other	Europe	en
dc.subject.other	Greece	en
dc.subject.other	Southern Europe	en
dc.subject.other	Thessaloniki [Central Macedonia]	en
dc.subject.other	Thessaloniki [Thessaloniki (DPR)]	en
dc.subject.other	Thessaloniki	en
dc.subject.other	ozone	en
dc.subject.other	Air Pollution	en
dc.subject.other	Cities	en
dc.subject.other	Conservation of Natural Resources	en
dc.subject.other	Decision Making	en
dc.subject.other	Greece	en
dc.subject.other	Humans	en
dc.subject.other	Models, Theoretical	en
dc.subject.other	Ozone	en
dc.subject.other	Public Policy	en
dc.title	A ombined MOIP-MCDA approach to building and screening atmospheric pollution control strategies in urban regions	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s00267-005-0111-8	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s00267-005-0111-8	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	This article presents a methodological approach for the formulation of control strategies capable of reducing atmospheric pollution at the standards set by European legislation. The approach was implemented in the greater area of Thessaloniki and was part of a project aiming at the compliance with air quality standards in five major cities in Greece. The methodological approach comprises two stages: in the first stage, the availability of several measures contributing to a certain extent to reducing atmospheric pollution indicates a combinatorial problem and favors the use of Integer Programming. More specifically, Multiple Objective Integer Programming is used in order to generate alternative efficient combinations of the available policy measures on the basis of two conflicting objectives: public expenditure minimization and social acceptance maximization. In the second stage, these combinations of control measures (i.e., the control strategies) are then comparatively evaluated with respect to a wider set of criteria, using tools from Multiple Criteria Decision Analysis, namely, the well-known PROMETHEE method. The whole procedure is based on the active involvement of local and central authorities in order to incorporate their concerns and preferences, as well as to secure the adoption and implementation of the resulting solution. © 2006 Springer Science+Business Media, Inc.	en
heal.publisher	SPRINGER	en
heal.journalName	Environmental Management	en
dc.identifier.doi	10.1007/s00267-005-0111-8	en
dc.identifier.isi	ISI:000238017200012	en
dc.identifier.volume	38	en
dc.identifier.issue	1	en
dc.identifier.spage	149	en
dc.identifier.epage	160	en