Rodyti trumpą aprašą

dc.contributor.authorKaklauskas, Artūras
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorRadzevičienė, Asta
dc.contributor.authorUbartė, Ieva
dc.contributor.authorPodviezko, Askoldas
dc.contributor.authorPodvezko, Valentinas
dc.contributor.authorKuzminskė, Agnė
dc.contributor.authorBanaitis, Audrius
dc.contributor.authorBinkytė-Vėlienė, Arūnė
dc.contributor.authorBučinskas, Vytautas
dc.date.accessioned2023-09-18T16:54:49Z
dc.date.available2023-09-18T16:54:49Z
dc.date.issued2018
dc.identifier.issn0264-2751
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/118091
dc.description.abstractInternational practice applies several urban indicators for sustainable cities (Monocle's Quality of Life Survey, Quality of Life Index (QLI), Indicators for Sustainability, European Green City Index, City Blueprint and others). These urban indicators can serve in performing integrated monitoring, assessing and recommending objectives sought by cities by different quantitative and qualitative aspects. Some of these tools can be applied to assessing a city's quality of life. One of the goals of this article is to compare several alternative methods for assessing a city's quality of life and their accuracies. A comparison was performed of the QLI and INVAR methods while conducting an analysis of comparable data from the 2012–2016 surveys on the Quality of Life in European Cities. Upon establishing the rankings of European cities by their quality of life with the assistance of the QLI and INVAR methods, an estimation of correspondence of results obtained by both methods and sensitivity analysis were performed based on a quantitative tool proposed in this paper. The obtained values of such criteria revealed a good level of congruity between the ranks obtained by employing both methods. The sensitivity analysis indicated that the results yielded by both the QLI and INVAR methods for rating the quality of life in European cities per the ever-fluctuating 2012–2016 data were similar. In other words, there was little difference between these methods for city ranking. This research also provides the INVAR method and its abilities to supplement the QLI with new functions: quantitative recommendations for cities under analysis by the indicators under analysis, optimization of indicators with consideration of indicators achieved in the quality of life area, and establishment of the values of the indicators under analysis permitting the city under analysis to raise its rating to the desired level.eng
dc.formatPDF
dc.format.extentp. 82-93
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://doi.org/10.1016/j.cities.2017.08.002
dc.source.urihttp://www.sciencedirect.com/science/article/pii/S0264275117305905
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:23360462/datastreams/MAIN/content
dc.subjectSD04 - Tvarus statinių gyvavimo ciklas / Sustainable lifecycle of the buildings
dc.titleQuality of city life multiple criteria analysis
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/)
dcterms.references59
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionMykolo Romerio universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.contributor.facultyMechanikos fakultetas / Faculty of Mechanics
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.ensustainable cities
dc.subject.enurban indicators
dc.subject.enquality of life index
dc.subject.enINVAR method
dc.subject.enmodeling
dc.subject.ensensitivity analysis
dcterms.sourcetitleCities
dc.description.issuePart A
dc.description.volumevol. 72
dc.publisher.nameElsevier
dc.publisher.cityOxford
dc.identifier.doi000419409500009
dc.identifier.doi2-s2.0-85027687562
dc.identifier.doi10.1016/j.cities.2017.08.002
dc.identifier.elaba23360462


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