Rodyti trumpą aprašą

dc.contributor.authorBarão, Madalena V.H.C.
dc.contributor.authorFerreira, Fernando
dc.contributor.authorSpahr, Ronald W
dc.contributor.authorSunderman, Mark A.
dc.contributor.authorGovindan, Kannan
dc.contributor.authorMeidutė-Kavaliauskienė, Ieva
dc.date.accessioned2023-09-18T20:35:43Z
dc.date.available2023-09-18T20:35:43Z
dc.date.issued2021
dc.identifier.issn0959-6526
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/151185
dc.description.abstractThe process of identifying and analyzing proactive measures for the prevention of urban blight is complicated by its complexity and death of data. Blight affects people’s lives in many ways, including economically, socially, psychologically, and physically. The phenomenon comprises many factors, including making appropriate identification and eradication decisions that are challenging to analyze and structure. This study took a constructivist stance and sought to develop a new approach to urban blight to complement the existing literature. The methodology combined cognitive mapping techniques applied in decision conferences, and the decision making trial and evaluation laboratory technique based on the multiple-criteria decision analysis approach. This integrated approach facilitated the development of a multi-criteria model that identifies proactive anti-blight measures in a more complete, transparent way. This dual methodology enables incorporating objective and subjective elements, and field specialists’ knowledge and experiences, thereby reducing important decision criteria omissions. Additionally, this approach generates a transparent visualization of relationships among criteria. Identified blight determinants can be used to prevent blight, and improve the quality of life in the affected areas. These strategies were carefully analyzed by two independent experts from the Direção Geral do Território (General Directorate of the Territory of Portugal). The advantages and limitations of the proposed methodology are also deliberated.eng
dc.formatPDF
dc.format.extentp. 1-15
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyFLUIDEX
dc.relation.isreferencedbyGEOBASE
dc.relation.isreferencedbyScienceDirect
dc.rightsNeprieinamas
dc.source.urihttps://www.sciencedirect.com/science/article/abs/pii/S0959652621002468?via%3Dihub
dc.subjectN900 - Verslas ir vadyba / Business and administrative studies
dc.titleStrengthening urban sustainability: identification and analysis of proactive measures to combat blight
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references94
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionUniversity Institute of Lisbon
dc.contributor.institutionUniversity Institute of Lisbon University of Memphis
dc.contributor.institutionUniversity of Memphis
dc.contributor.institutionShanghai Maritime University University of Southern Denmark Yonsei University, Seoul
dc.contributor.institutionVilniaus Gedimino technikos universitetas University Institute of Lisbon
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.vgtuprioritizedfieldsEV03 - Dinamiškoji vadyba / Dynamic Management
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enproactive anti-blight measures
dc.subject.encognitive mapping
dc.subject.endecision conferencing
dc.subject.enDEMATEL
dc.subject.enMCDA
dc.subject.enurban sustainability
dcterms.sourcetitleJournal of cleaner production
dc.description.volumevol. 292
dc.publisher.nameElsevier
dc.publisher.cityOxford
dc.identifier.doi000636127000008
dc.identifier.doi10.1016/j.jclepro.2021.126026
dc.identifier.elaba81190817


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