Smart City Gnosys

Smart city article details

Title Citydna Dynamics: A Model For Smart City Maturity And Performance Benchmarking
ID_Doc 14220
Authors Moustaka V.; Maitis A.; Vakali A.; Anthopoulos L.G.
Year 2020
Published The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
DOI http://dx.doi.org/10.1145/3366424.3386584
Abstract Smart cities have emerged significantly since their initial appearance in 1990s, more and more cities around the world are striving to gain intelligence and in this regard the need for standardization and performance measurement grows. Given the current challenges in the field of smart cities, this work revisits the proposed "cityDNA" framework which has been designed to detect the interrelations between smart city dimensions and form city profile. This work contribute to further enable benchmarking and measuring the maturity of smart cities through the exploitation of international standards and civil engagement. The proposed framework along with the design of a web application will handle urban data effectively. "cityDNA" that will be advanced to receive and utilize urban data and visualize cities' health and maturity metrics is presented, while potential constraints on its implementation are highlighted.
Author Keywords artificial intelligence; citizen engagement; city benchmarking; city profile; cityDNA; conceptual model; maturity; smart cities; standardization


Similar Articles


Id Similarity Authors Title Published
14221 View0.908Moustaka, V; Vakali, A; Anthopoulos, LGCitydna: Smart City Dimensions' Correlations For Identifying Urban ProfileWWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (2017)
11820 View0.9Warnecke, D; Wittstock, R; Teuteberg, FBenchmarking Of European Smart Cities - A Maturity Model And Web-Based Self-Assessment ToolSUSTAINABILITY ACCOUNTING MANAGEMENT AND POLICY JOURNAL, 10, 4 (2019)
44565 View0.89Hajek P.; Youssef A.; Hajkova V.Recent Developments In Smart City Assessment: A Bibliometric And Content Analysis-Based Literature ReviewCities, 126 (2022)
36582 View0.888Lai C.M.T.; Cole A.Measuring Progress Of Smart Cities: Indexing The Smart City IndicesUrban Governance, 3, 1 (2023)
10647 View0.887Bozkurt Y.; Rossmann A.; Pervez Z.; Ramzan N.Assessing Data Governance Models For Smart Cities: Benchmarking Data Governance Models On The Basis Of European Urban RequirementsSustainable Cities and Society, 130 (2025)
49798 View0.884Gracias, JS; Parnell, GS; Specking, E; Pohl, EA; Buchanan, RSmart Cities-A Structured Literature ReviewSMART CITIES, 6, 4 (2023)
1155 View0.884Shi F.; Shi W.A Critical Review Of Smart City Frameworks: New Criteria To Consider When Building Smart City FrameworkISPRS International Journal of Geo-Information, 12, 9 (2023)
15106 View0.883Anthopoulos, L; Janssen, M; Weerakkody, VComparing Smart Cities With Different Modeling ApproachesWWW'15 COMPANION: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (2015)
44526 View0.883Sharma C.; Sharma S.K.; Gill D.Reassessing Smart City Components: An Overview Of The Dynamic Nature Of Smart City ConceptIOP Conference Series: Earth and Environmental Science, 1186, 1 (2023)
8638 View0.882Manoharan G.; Durai S.; Rajesh G.A.; Razak A.; Rao C.B.S.; Ashtikar S.P.An Investigation Into The Effectiveness Of Smart City Projects By Identifying The Framework For Measuring PerformanceArtificial Intelligence and Machine Learning in Smart City Planning (2023)