Assessment of Cities in Russia According to the Concept of "Smart City" in the Context of the Application of Information and Communication Technologies

Abstract

The article deals with the "smart city " concept, which

A Unified Smart City Model (USCM) for Smart City Conceptualization and Benchmarking

“…Screening examined citations that leave space for further exploration resulted in 48 publications as shown in Table 1 Anthopoulos (2015); Anthopoulos and Fitsilis (2013); Bakici et al (2013); Baron (2012); Batty et al (2012); Bellini et al (2014); Calvillo et al (2016); Caragliu et al (2011); da Cruz and Marques (2014); De Marco et al (2015); Desouza and Flanery (2013); Duarte et al (2014); Edvinsson (2016); Fan et al (2016);Fei. (2012); Giffinger et al (2007); Glebova et al (2014); Hancke et al (2013); Kii et al (2014); Kourtit et al (2014); Hollands (2008); ISO (2014); ITU (2014); Lazaroiu and Roscia (2012); Liu et al (2014); Lee et al (2013); Lee et al (2014); Leydesdorff and Deakin (2011); Lombardi et al (2012); Malek (2010); Marsal-Llacuna et al (2015); Mori and Christodoulou (2012); Naphade et al (2011); Neirotti et al (2014); Pires et al (2014); Shapiro (2006); Shwayri (2013); Singhal et al (2013); Söderström et al (2014); Strategic Energy Technologies Information System (SETIS) (2012);…”

“…In this respect, Anthopoulos (2015) compared eight (8) models and concluded to a seven-axe modeling tool, which confirms the previously mentioned 6 dimensions of smart city (Giffinger et al, 2007) and extends them with coherency in terms of social equity and engagement, while Neirotti et al (2014) extend it with the incorporation of smart building. Glebova et al (2014) conceptualize smart city with 5 key elements (intellectual transport system, public security, energy consumption management and control, environmental protection and ICT) and they define indexes to measure ICT component in Russian cities. Hollands (2008) discusses about smart city structure in terms of instrumentation (based on data collection), interconnection (enable data flow) and smart (utilize data to improve urban living).…”

“…In their paper they performed several statistical analysis methods and they discovered a positive association between urban wealth and the presence of a vast number of creative professionals; a high score in a multimodal accessibility indicator; the quality of urban transportation networks; the diffusion of ICTs (most noticeably in the e-government industry); and, finally, the quality of human capital. Some studies (Duarte et al, 2014;Glebova et al, 2014) focus on ICT and define corresponding assessment frameworks (connectivity, accessibility and communicability). With regard to the 6 dimensions of smart city, (Lazaroiu and Roscia, 2012) defined a model with corresponding indices in an attempt to assess urban intelligence or in other words, how "good" or "bad" a city is in achieving its smartness (Vanolo, 2014) or its level of progress (Fei, 2012).…”

“…Only Lazaroiou and Roscia (2012) benchmarking framework respects the 6 smart city dimensions, which leave space for the further improvement of smart city measurement. Furthermore, only 3 works (Fei, 2012;Duarte et al, 2014;Glebova et al, 2014) try to evaluate ICT and smart solutions directly, which again leave a space for corresponding optimization. Finally, the above analysis returns an initial taxonomy of smart city modeling and benchmarking.…”

Smart City and Smart Tourism: A Case of Dubai

“…Further, Glebova et al [29] conceptualized the smart city with 5 dimensions: intellectual transport systems, public security, energy consumption management and control, environmental protection and ICT. Alternately, Bellini et al [30] suggested the model based on a data-oriented IT perspective: data sources, administration, street-guide, point-of-interest, local public transport, sensors, temporal, and metadata.…”