Infrastructure of Waste Accumulation Sites in Moscow: Spatial Statistics and Analysis

This article examines the application of spatial statistics methods to analyze the distribution of municipal solid waste accumulation sites in Moscow. This research is relevant for optimizing waste collection infrastructure in megacities. Utilizing spatial data and cartographic materials, an algorithm was developed and tested to calculate the density of facility placement, linked to the area of courtyard territories, using a 1 km2 grid. The result was the construction of heat maps reflecting the heterogeneity in the distribution of different types of facilities across the urban area. Statistical characteristics, such as the mean and variance of specific density, were computed. The study provides a comparison of the obtained metrics with analogous values for other major world megacities. Particular attention is given to the analysis of the economic aspects of the identified heterogeneity. The presented algorithm and statistical indicators can be used by municipal authorities and specialized organizations to optimize the planning of waste collection networks and enhance the environmental sustainability of the urban environment.

spatial statistics, housing and utilities sector, waste accumulation sites