Issues of Typology of Municipal Infrastructure

Abstract

The subject of this work is the uneven development of infrastructure in municipal districts of the Russian Federation. The article presents the author’s method of typology of municipalities by the level of infrastructure development, which allows overcoming the shortcomings of the information base of municipal statistics using the data imputation algorithm. The proposed approach solves the problem of weak population structure using a combination of four methods of multidimensional statistics (cluster analysis, factor analysis, metric multidimensional scaling and discriminant analysis) in the framework of a combination of variational and aggregate concepts of data typology. The idea of the considered method is that if an object falls into the same type as a result of applying different typology methods, then it is a stable representative (“core”) of this type. A set of such objects for each type is used as training samples for discriminant analysis, which allows you to typologize the remaining transition objects using mathematical tools. The methodology was tested on a set of municipal districts of the Russian Federation (in 2018). There are 4 types of municipal districts with high, satisfactory, insufficient and low level of infrastructure development. As of 2018, 89 (5.1%) municipal districts of the Russian Federation have a high level of infrastructure development, 308 (17.6%) – satisfactory, 570 (32.6%) – insufficient, 783 (44.7%) – low. The inverse relationship between the level of infrastructure development of municipal districts and the degree of urbanisation of the territory is shown: the largest number of districts with highly developed infrastructure is located in territories with a significant share of the rural population.