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News
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.

 

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Experience in Calculating Distances between Different Types of Population Centers in Russia (to Estimate the distance of Population Migration)

Regional Research of Russia. 2024. Vol. 14. No. 2. P. 213–226.
Karachurina L. B., Mkrtchyan N. V.

The problem of measuring distances in migration is a nontrivial, but important problem, e.g., for delimiting the concepts of population migration and residential mobility. With limited access to detailed spatial data, researchers address this problem in different ways. Only a few countries, e.g., Sweden, have the ability to calculate migration distances between point locations using Euclidean distance. This article examines the measure of correspondence of Euclidean distances (measured taking into account the curvature of the globe) to real distances along transport routes for the case of Russia. For this, 3407 pairs of distances were calculated for randomly selected 23 municipal districts in Russia directly and along transport routes—roads. Also, 411 pairs of distances were calculated for population centers with no road connections by using air service. These distances give an idea of migrations of different distances in Russia. As a result, for hypothetical relocations within the selected municipal districts, real distances on roads exceed Euclidean distances by 51%; for relocations between the centers of districts and urban okrugs within a region, by 40%; for interregional relocations, 33%. The air service used “straightens” distances, but even taking this into account, real distances (mainly long-distance, interregional) exceed Euclidean distances by 28.5%. The calculations give an idea of the deviations of real transport distances from the relatively simple Euclidean distances, which can be used in analyzing migration distances in Russia.

Research target: Sociology (including Demography and Anthropology Earth Sciences
Language: English
Full text
DOI
Keywords: municipalitiesrange Russian regionsEuclidean distancetransport distance population migration
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