| Abstrakt: |
The study aims to enhance interactions within smart city infrastructures by systematically analyzing associated challenges and proposing strategic solutions. Employing methodologies such as system analysis, synthesis, optimization, modeling, and decision-making—while considering process uncertainties—we dissect the "smart city" and "smart city dweller" concepts, charting their evolutionary cycles. The results outline a structural framework for interactions between citizens, the state, businesses, and society, integrating key subsystems into a unified infrastructure. We also evaluate feedback mechanisms in urban projects like "Active Citizen" and "Garbage. Not.Net," and investigate smart city self-regulation using the Hurwitz criterion. These insights provide actionable guidance for assessing and advancing smart city projects. [ABSTRACT FROM AUTHOR] |
