Algorithm of ecological solutions in the smart city concept

Abstract

Solving the ecological problems of big cities is made difficult by the fact that their activities are built on the concentration of many kinds of resources. The economic foundation for their prosperity is made up of scientific, manufacturing, and cultural opportunities. At the same time, negative externalities occur, and natural and technological restrictions come into effect. The lessons of the COVID-19 pandemic require seeking out new methods of managing metropolitan areas. Global cities are unique in their constant influx of people - tourists, expats, students, and so on. This paper presents a way to solve the problems relating to regulating the inflow of visitors. A dynamic model of the spread of the infection is put together, the arguments for which are the restrictive and quarantine measures. At the same time, the problem of finding an economically sound balance between ecological externalities and the capacity of limited resources is solved. When solving these two problems using computer simulation, it becomes possible to use information flows of smart city systems, while the results of the calculations provide the basis for adopting the optimal set of administrative and technical solutions.