Smart City Governance in the Data Economy Context: Trends and Key Challenges
EDN: FRYTMK
Abstract
The aim of the study is to answer the question of how the data economy is changing urban governance, moving from traditional models to data-based approaches, where smart cities become data centers, and data is a key resource for making informed decisions, optimizing processes, and improving the quality of life of citizens. The relevance of this topic is due to the need to improve the effectiveness of data-driven management and proactive provision of services. The research uses such methods as comparative analysis, generalization, methods of scien- tometric analysis and qualitative content analysis of scientific publications.
Based on the conducted research, the authors identify the main trends in data-based smart city management, challenges in the field of smart city management and propose measures aimed at reducing existing threats.
Thus, special attention should be paid to the creation of a secure environment for collaborative data processing, the security of urban infrastructure, its protection, as well as the training of qualified personnel capable of taking into account vulnerabilities at the design stage of both the physical and IT infrastructure of a smart city.
About the Authors
R. V. Kirichek
The Bonch-Bruevich Saint Petersburg State University of Telecommunications
Russian Federation
Russian Federation
Ruslan V. Kirichek, Doctor of Technical Sciences, Professor, Rector; Chairman of the Interdepartmental working Commission on Digital Transformation and Data Economics at the Public Chamber of St. Petersburg
Saint Petersburg
O. V. Kalimullina
The Bonch-Bruevich Saint Petersburg State University of Telecommunications
Russian Federation
Russian Federation
Olga V. Kalimullina, PhD in Economics, Associate Professor, Acting Head of the Department of Data Economics
Saint Petersburg
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Review
For citations:
Kirichek R.V., Kalimullina O.V. Smart City Governance in the Data Economy Context: Trends and Key Challenges. Administrative Consulting. 2025;(5):77–90. (In Russ.) EDN: FRYTMK
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