Сlusterization and algorithmization of conflicts within the framework of integrated territorial development

Abstract

It has been established that the integrated development of territories is the basic direction of the construction industry. The main goal of this state programme is to improve the quality of life of citizens, renew and develop the urban environment based on the principles of sustainability, increase the efficiency of using territories and solve problems with emergency housing. There are many problems associated with the implementation of investment projects, including social, organizational, communication, financial, and regulatory risks. The imperfection of the mechanism of integrated territorial development leads to a multitude of conflicts that require classification, analysis, and management measures to resolve them. To do this, a system should be developed that allows the use of machine algorithms, that is, an automated conflict classifier. To this end, algorithms for typing and clustering conflict situations have been developed based on hierarchical analysis and spatial clustering based on hierarchical density, taking into account noise. Hierarchical analysis creates a tree-like structure of clusters, which can help, if necessary, create a common structure of information about projects and contradictions that have arisen. Density clustering allows you to determine “conflicts-departures” and is necessary for analyzing the internal structure of groups of typical conflicts. In addition, using a system of weights, a method is proposed for determining the integral assessment of significance, that is, the degree of influence of contradictions on the implementation of the project.