Smart City Gnosys
Smart city article details
| Title | Methods For Analyzing Economic And Social Development Of Smart Cities |
|---|---|
| ID_Doc | 36906 |
| Authors | Popov, EV; Semyachkov, KA |
| Year | 2022 |
| Published | ECONOMIC AND SOCIAL CHANGES-FACTS TRENDS FORECAST, 15, 2 |
| DOI | http://dx.doi.org/10.15838/esc.2022.2.80.7 |
| Abstract | The purpose of the study is to develop a typology of methods for analyzing economic and social development of smart cities. Having reviewed the works indexed in the global database Web of Science Core Collection we selected one and a half hundred articles on economic problems of smart cities development published in 2015-2021 and available in the public domain. We identify various methods for analyzing economic and social development of smart cities, differentiate them using the method of describing the objects under consideration (static and dynamic) and the method of model description (tables, diagrams, matrices, graphs). Static methods include methods for assessing ecosystem characteristics, input-output analysis, development diagrams, data ecosystems coordination analysis, assessment of the ecosystem for elderly residents. Dynamic methods include the Value Creation - Value Capturing matrices, stimulating management elements, "digital ecosystems - entrepreneurial ecosystems", graphs showing the life cycle of the smart city ecosystem, evolution of civil ecosystems, stage-by-stage digital transformation, dynamic opportunities for innovation and the quadruple helix. We show the applicability of methods for analyzing the development of smart cities for various territories. We present our own results of assessment of the development of smart cities in Moscow, Yekaterinburg, Oslo, Singapore based on the 7I-model (infrastructure, institutions, intranet, integration, interfaces, innovations, implementation). Theoretical significance of the results obtained consists in the development of a theory of ecosystem analysis related to assessing the formation of smart cities; practical significance of the results lies in the development of applied tools for strategic planning in the field of smart city project development. |
| Author Keywords | smart cities; analysis methods; static methods; dynamic methods; tables; diagrams; matrices; graphs |
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