Assessment of Tendency to Become a Smart City Among Turkish Cities in the Context of Underdevelopment: An Empirical Analysis

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Özet

More than half of the world's population lives in cities, which creates serious pressure on cities. Eliminating this pressure is important for the sustainability of cities, as well as for improving the quality of urban life. In this context, the smart city model has recently been utilised to address urban sustainability challenges and enhance the quality of urban life. The model has a framework aimed at overcoming the mentioned issues through the use of technology. This model has begun to be included in upper-scale policy documents all around the world, along with Turkey. However, the human and physical entities that make up the components of the smart city differ spatially within the country, which points to the problem that the smart city model cannot be equally effective everywhere. Therefore, this study aims to demonstrate the trend of NUTS 3 regions in Turkey to become smart cities based on variables considered the most important components of a smart city, such as technological infrastructure, human capital, and governance structure. In order to achieve this goal, cluster analysis was applied to these variables. The analysis has revealed that there are five different clusters in Turkey that differ from each other in terms of the tendency to become smart cities. The findings indicate that smart city applications cannot be used equally effectively and efficiently in each region in parallel with the differentiation of the level of development.

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AlanDeğerDil
dc.contributor.authorTuysuz, Suat
dc.contributor.authorYazar, Ahmet
dc.contributor.authorManga, Muge
dc.date.accessioned2026-10-18T20:33:59.386049709Z
dc.date.available2026-10-18T20:33:59.386049709Z
dc.date.issued2022
dc.description.abstractMore than half of the world's population lives in cities, which creates serious pressure on cities. Eliminating this pressure is important for the sustainability of cities, as well as for improving the quality of urban life. In this context, the smart city model has recently been utilised to address urban sustainability challenges and enhance the quality of urban life. The model has a framework aimed at overcoming the mentioned issues through the use of technology. This model has begun to be included in upper-scale policy documents all around the world, along with Turkey. However, the human and physical entities that make up the components of the smart city differ spatially within the country, which points to the problem that the smart city model cannot be equally effective everywhere. Therefore, this study aims to demonstrate the trend of NUTS 3 regions in Turkey to become smart cities based on variables considered the most important components of a smart city, such as technological infrastructure, human capital, and governance structure. In order to achieve this goal, cluster analysis was applied to these variables. The analysis has revealed that there are five different clusters in Turkey that differ from each other in terms of the tendency to become smart cities. The findings indicate that smart city applications cannot be used equally effectively and efficiently in each region in parallel with the differentiation of the level of development.
dc.identifier.doi10.14744/planlama.2021.01346
dc.identifier.endpage255
dc.identifier.issn1300-7319
dc.identifier.issue2
dc.identifier.startpage247
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/16385
dc.identifier.volume32
dc.identifier.wosWOS:000826974000008
dc.language.isoen
dc.publisherKARE PUBL
dc.relation.ispartofPLANLAMA-PLANNING
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectInformation and communication technologies
dc.subjectregional differentiation
dc.subjectunderdevelopment
dc.subjectsmart cities
dc.subjectRegional & Urban Planning
dc.subjectPublic Administration
dc.titleAssessment of Tendency to Become a Smart City Among Turkish Cities in the Context of Underdevelopment: An Empirical Analysis
dc.typeArticle
dspace.entity.typePublication
rdl.citation.trdizin0
rdl.citation.wos1
rdl.departmentERZİNCAN BİNALİ YILDIRIM ÜNİVERSİTESİ
rdl.source.indexWOS
rdl.source.indexTRDIZIN
rdl.wos.indexEmerging Sources Citation Index (ESCI)