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dc.contributor.authorZolfani, Sarfaraz Hashemkhani
dc.contributor.authorHasheminasab, Hamidreza
dc.contributor.authorTorkayesh, Ali Ebadi
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorDerakhti, Arman
dc.date.accessioned2023-09-18T16:10:06Z
dc.date.available2023-09-18T16:10:06Z
dc.date.issued2022
dc.identifier.issn0219-6220
dc.identifier.other(SCOPUS_ID)85117278737
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/112029
dc.description.abstractSite selection is a multi-dimensional optimization problem that influences a wide variety of stakeholders from local communities and authorities to governments, environmental protection agencies, etc. Locating an energy project as well as transportation infrastructure projects, for instance, are of great strategic importance and are connected to the top-level regulations and policy levels. These problems are significant from strategic levels to the productivity of a single construction project level, from energy to transportation and from infrastructure to residential buildings. A large number of publications in this field of study prove this significance. However, regarding the variety of applications, managerial decision levels, and the growing number of studies, it is important to comprehend the latest trends and conclude an appropriate research path in this field. This study is mainly focused on the application of MADM methodologies on locating problems by which many studies are carried out and have a high coincidence with the locating problem environment. Consequently, 425 studies are considered in this study, and 217 more relevant papers are selected for the subsequent reviews. Based on the results, Energy projects are by far the most frequent field of study in this regard which are considered as renewable and nonrenewable categories. Also, environmental planning and sustainable site selection are of secondary importance.eng
dc.formatPDF
dc.format.extentp. 7-57
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyBusiness Source Ultimate
dc.source.urihttps://doi.org/10.1142/S0219622021300019
dc.titleA literature review of MADM applications for site selection problems - One decade review from 2011 to 2020
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references251
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionCatholic University of the North
dc.contributor.institutionUniversity of Tehran
dc.contributor.institutionSabanci University RWTH Aachen University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldT 004 - Aplinkos inžinerija / Environmental engineering
dc.subject.vgtuprioritizedfieldsSD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.ensite selection
dc.subject.enlocating
dc.subject.enmultiple attribute decision making
dc.subject.enliterature review
dcterms.sourcetitleInternational journal of information technology and decision making
dc.description.issueiss. 1
dc.description.volumevol. 21
dc.publisher.nameWorld Scientific
dc.publisher.citySingapore
dc.identifier.doi2-s2.0-85117278737
dc.identifier.doi85117278737
dc.identifier.doi0
dc.identifier.doi000754577200002
dc.identifier.doi10.1142/S0219622021300019
dc.identifier.elaba109905866


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