Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/90312
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dc.contributor.authorBagirova, A. P.en
dc.contributor.authorNotman, O. V.en
dc.contributor.authorVeress, J.en
dc.date.accessioned2020-09-29T09:46:53Z-
dc.date.available2020-09-29T09:46:53Z-
dc.date.issued2017-
dc.identifier.citationBagirova, A. P. Methods of integrated assessment of megalopolis's micro-districts on the basis of residents' opinions / A. P. Bagirova, O. V. Notman, J. Veress. — DOI 10.17059/2017-4-13 // Economy of Region. — 2017. — Vol. 4. — P. 1138-1150.en
dc.identifier.issn2072-6414-
dc.identifier.otherhttps://doi.org/10.17059/2017-4-13pdf
dc.identifier.other1good_DOI
dc.identifier.otherbe7816ee-cc5c-4fd5-a13f-a4c0ec855690pure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85040346143m
dc.identifier.urihttp://hdl.handle.net/10995/90312-
dc.identifier.urihttps://elar.urfu.ru/handle/10995/90312en
dc.description.abstractThe paper presents a methodology for assessing city areas on the basis of residents' opinions. In contrast to preceding approaches, this methodology combines the opinions on the various features of living in certain micro-districts as well as the way these districts are perceived. Therefore, this technique includes the rational and emotional assessments. Moreover, we assess both the district residents and the inhabitants living outside the area. Thus, the research combines the assessments from inside and outside. The evaluation is based on the representative survey of the residents of Ekaterinburg. The research hypothesis is that city districts will differ significantly in the attractiveness as well as in a set of determinants for the assessments given by residents. The authors' methodology for rating micro-districts includes three groups of indicators. First, there is the assessment of the residents' satisfaction level in various aspects of their lives. Second, we assess the residents' emotional appraisal of the areas, in which they live. Last, there is a choice of the city's best micro-district to live in. The empirical research found a high degree of differentiation in the obtained ratings and highlighted their socio-economic determinants such as the assessment of personal financial position, housing type, assessment of personal living conditions. The findings of this research provide insights for managerial decisionmaking in strategic regional planning. In particular, these results can be used to address the polarization of the development of urban areas revealed in this research. Further research can be conducted in three directions. Firstly, a deeper analysis of the availability and attractiveness of different types of infrastructure for residents (medical, educational, relaxation infrastructures, etc.) would be of interest. Secondly, micro-district could be ranked by different groups of population (retirees, persons with disabilities, etc.). Last, further research needs an assessment of the different micro-districts attractiveness for work and leisure activities.en
dc.format.mimetypeapplication/pdfen
dc.language.isoruen
dc.publisherInstitute of Economics, Ural Branch of the Russian Academy of Sciencesen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-by-ncother
dc.sourceEconomy of Regionen
dc.subjectCITY ADMINISTRATIONen
dc.subjectCITY INFRASTRUCTUREen
dc.subjectEMOTIONAL PERCEPTIONS OF AREASen
dc.subjectMEGALOPOLISen
dc.subjectMICRO-DISTRICTSen
dc.subjectNON-PARAMETRIC STATISTICSen
dc.subjectRATINGSen
dc.subjectSATISFACTION LEVEL AMONG CITY RESIDENTSen
dc.subjectSOCIOLOGICAL SURVEYen
dc.subjectTERRITORIAL DEVELOPMENTen
dc.titleMethods of integrated assessment of megalopolis's micro-districts on the basis of residents' opinionsen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.rsi30783291-
dc.identifier.doi10.17059/2017-4-13-
dc.identifier.scopus85040346143-
local.affiliationUral Federal University, Mira St., Ekaterinburg, 620002, Russian Federationen
local.affiliationCorvinus University of Budapest, 8, Fovám Sqr., Budapest, Hungaryen
local.affiliation51, Lenina Ave., Ekaterinburg, 620002, Russian Federationen
local.contributor.employeeBagirova, A.P., Ural Federal University, Mira St., Ekaterinburg, 620002, Russian Federationru
local.contributor.employeeNotman, O.V., Ural Federal University, Mira St., Ekaterinburg, 620002, Russian Federation, 51, Lenina Ave., Ekaterinburg, 620002, Russian Federationru
local.contributor.employeeVeress, J., Corvinus University of Budapest, 8, Fovám Sqr., Budapest, Hungaryru
local.description.firstpage1138-
local.description.lastpage1150-
local.volume4-
dc.identifier.wos000419294600013-
local.identifier.pure6431343-
local.identifier.eid2-s2.0-85040346143-
local.identifier.wosWOS:000419294600013-
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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