POLICENTER: A Workplace, Housing and Public Services Placement Optimization Model

Abstract

This article is devoted to a model that optimizes the placement of the main city functions in the city of Moscow according to the criteria of these functions’ mutual transport accessibility. The results of simulation experiments carried out in 20182019 are considered. It is shown that the options for the city’s development, generated during the optimization process, contribute, firstly, to the solution transport problem of the city (shown by the example of computational experiments of the morning rush hour for several dozen prediction options), and secondly, to creating conditions for the development of the city’s polycentricity by increasing the attendance of established and emerging peripheral (mostly) service centers (this is substantiated at the level of the principles and elements of the optimization algorithm).When analyzing the predictive dynamics based on the generated options of the development for Moscow and two more cities, signs of the approaching moments of transition from “territorial growth” to “structural reorganization” and vice versa were revealed. The regularity of such transitions was substantiated by Gutnov in the “general theory of urban development”.