Estimating the Distances between Russian Regions with an Account for Transport Infrastructure

Abstract

This study is devoted to assessing the weighted average distances between the regions of Russia according to different metrics – the shortest distances on the sphere, as well as distances by railways and highways. Such aggregated estimates are necessary for researchers of interregional processes (from migration to cargo transportation), but these estimates are not publicly available. The article fills this gap. We describe the methods for estimating distances using various metrics (relying on the Russian Railways data on ‘tariff distances’ between railway stations, information on cities’ coordinates and population, and web-services for calculating inter-city distances). The proposed metrics can be considered as an economic distance metric developed in the context of gravitational interaction studies. We estimate the distances between Russian regions using recent and highly detailed data (the distances between 2840 railway stations, the population data gathered for about 10,000 settlements). For scientific and practical purposes, the open access to resulting estimates is provided. We discuss and interpret the cases of significant discrepancies in the estimates of distances between Russian regions according to different metrics. We demonstrate that, for a number of regions, location of transport infrastructure determines the need to choose the metric of interregional distance carefully, depending on the task. We estimate the weighted distance between all regions of Russia with an account for changes in regional structure of population; on this basis, we show that since 1990s migration has been directed to regions with greater relative transport connectivity

Keywords

• coordinates
• metrics
• population
• distance
• cargo turnover
• regions
• cities
• stations
• roads
• highways
• russia