A Different Approach to the Evaluation of Smart Cities’ Indicators

Skvarciany Viktorija (), Jurevičienė Daiva (), Žitkienė Rima (), Lapinskaitė Indrė () and Dudė Ugnė ()
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Skvarciany Viktorija: Department of Economics Engineering, Vilnius Gediminas Technical University, Saulėtekio al. 11 Vilnius 10223, Lithuania
Jurevičienė Daiva: Department of Economics Engineering, Vilnius Gediminas Technical University, Saulėtekio al. 11 Vilnius 10223, Lithuania
Žitkienė Rima: Department of Economics Engineering, Vilnius Gediminas Technical University, Saulėtekio al. 11 Vilnius 10223, Lithuania
Lapinskaitė Indrė: Institute of Dynamic Management Vilnius Gediminas Technical University, Saulėtekio al. 11 Vilnius 10223, Lithuania
Dudė Ugnė: Institute of Business and Economics Faculty of Public Management and Business, Mykolas Romeris University, Ateities st. 20 Vilnius 08303, Lithuania

TalTech Journal of European Studies, 2021, vol. 11, issue 2, 130-147

Abstract: The article aims to propose a different approach to assessing smart cities which combines some commonly used indicators with several new ones in line with the concept of sustainability. The aspect of sustainable development as an essential driver for the smart city and the combination of indicators for sustainable and smart city concepts have been analysed fragmentarily so far. There are many different approaches to evaluate the indicators of city smartness; however, very little attention is paid to the analysis of the reciprocal importance of the indicators. Ten indicators representing a smart city were selected that would be keep in line all the three pillars of sustainability—environmental, social, and economic. An expert survey was conducted to assign the weights of indicators using the pairwise comparison approach. The results were processed by utilising the fuzzy analytic hierarchy process (AHP), which reduces the subjectivity in the experts’ answers. The presented approach differs from the ones commonly used and while it does not cover a wide range of usual indicators, it proposes some new ideas for further research. Some represent cities to attract young and intelligent citizens, others relate to comfortable and safe living conditions and the environmental situation. The results revealed that the most vital smartness indicators are foreign direct investments, pollutant emission, and the share of people registered as unemployed among the working-age population. These indicators cannot be easily identified as ones representing a smart city, but rather as indicators representing investment and environmental, sustainable aspects. Hence, finding a balance between the indicators related to sustainable and smart city is what highlights the need for further research.

Keywords: fuzzy AHP; fuzzy numbers; indicators of smartness; smart cities; sustainability (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:bjeust:v:11:y:2021:i:2:p:130-147:n:8

DOI: 10.2478/bjes-2021-0018

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