Smart City Gnosys

Smart city article details

Title Methodology (Methods) For Assessing Indicators Of The Development Of Economic Systems And The “Smart City” System Based On Information Theory
ID_Doc 36879
Authors Iudin S.V.; Shmarlouskaya H.A.; Egorushkina T.N.; Mishchuk O.N.; Kalynychenko M.P.
Year 2023
Published Approaches to Global Sustainability, Markets, and Governance, Part F175
DOI http://dx.doi.org/10.1007/978-981-19-4005-7_16
Abstract Purpose The purpose of the study is to solve the problem of numerical evaluation of integral indicators of the development of economic systems and the “smart city” system, as well as to develop an appropriate criterion. Design/methodology/approach The research methodology is based on a primary analysis of regulatory documents and current publications on the development of economic systems and the “smart city” system, as well as the methods of mathematical information theory. On the basis of this approach, the basic concepts of the “smart city” concept were considered, and the analysis of specialized literature was carried out. Originality/value The significant differences in the views of various scientists on the concept of “smart city” are revealed. Contradictions of interests among different groups of stakeholders of the “smart city” (citizens, businessmen, scientists, managers, politicians) can significantly reduce the effectiveness of the solutions being developed. Currently, the degree of the development of the structures of the “smart city” is assessed by formal indicators presented in the standards and guidelines. Considering the “smart city” not only as a system but also as a product, it is necessary to study it from the point of view of the interests of its consumers (stakeholders). Consumers can assess the product quality. To assess the quality of a smart city product, it is necessary to develop a numerical criterion showing the satisfaction of stakeholders’ interests. It is shown that the criterion based on the mathematical apparatus of information theory and statistics “entropy” can be applied as an adequate, accurate, and reliable criterion. For this purpose, the relevant literature is considered, affirming the statements that this approach is universal. The developed criterion makes it possible, based on a sociological survey, to compare different stages of the city’s development and determine the presence of trends toward improving the quality of life when building a “smart city”. Some issues of the formation of a “smart city” in the example of Tula, Tula region, and the Russian Federation are considered. Conclusions It has been established that the main drawback is insufficient consideration of the opinion of the citizens, while the “smart city” should be considered as a product, which should be evaluated by the consumers—the citizens. For an objective assessment, an information criterion of the quality of a “smart city” and evaluation of the trends’ development was created. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords Economic systems; Entropy; Quality; Smart city; Stakeholders; Theory of information; Trends


Similar Articles


Id Similarity Authors Title Published
54337 View0.918Popov, EV; Semyachkov, KASystematisation Of Approaches To Assessing The Development Of Smart CitiesEKONOMIKA REGIONA-ECONOMY OF REGION, 16, 1 (2020)
36906 View0.889Popov, EV; Semyachkov, KAMethods For Analyzing Economic And Social Development Of Smart CitiesECONOMIC AND SOCIAL CHANGES-FACTS TRENDS FORECAST, 15, 2 (2022)
3711 View0.886Chernyaev M.V.; Mazurchuk T.M.; Kreidenko T.F.A Possible Method For The Socio-Economic Efficiency Estimation Of Smart City Projects, Paying Particular Regard To Their Digital Technology ContentPeriodica Polytechnica Social and Management Sciences, 31, 1 (2023)
19646 View0.885Abu-Rayash A.; Dincer I.Development Of An Integrated Model For Environmentally And Economically Sustainable And Smart CitiesSustainable Energy Technologies and Assessments, 73 (2025)
51782 View0.884Rungi M.Smart-City Development Model: The Case Of Ülemiste CityIEEE International Conference on Industrial Engineering and Engineering Management, 2022-December (2022)
15489 View0.882Turovsky A.A.; Mironova N.N.; Sibiryaev A.S.; Anishchenko A.N.Concept Of “Smart City” In The Framework Of Scientific DiscourseLecture Notes in Networks and Systems, 200 (2021)
16557 View0.882Dashkevych O.; Portnov B.A.Criteria For Smart City Identification: A Systematic Literature ReviewSustainability (Switzerland), 14, 8 (2022)
9429 View0.882Liu Y.; Ye M.Analysis On The Development Of Smart City Of Big Cities In China And Its Effect To Economic Structure Based On Entropy MethodSecurity and Communication Networks, 2022 (2022)
18792 View0.879Qiu J.; Cao J.; Gu X.; Ge Z.; Wang Z.; Liang Z.Design Of An Evaluation System For Disruptive Technologies To Benefit Smart CitiesSustainability (Switzerland), 15, 11 (2023)
446 View0.879Dameri R.P.; Bruzzone M.A Bidirectional Research Method To Design A Smart City Evaluation SystemProceedings of the European Conference on Research Methods in Business and Management Studies, 23, 1 (2024)