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News
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.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Опыт расчета расстояний между разными типами населенных пунктов России (для оценки дальности миграции населения)

Вестник Санкт-Петербургского университета. Науки о Земле. 2023. Т. 68. № 3. С. 418–442.
Karachurina L. B., Mkrtchyan N. V.

The problem of measuring distances in migration is not trivial, but important, for example, for delimiting the concepts of population migration and housing mobility. In conditions of limited access to detailed spatial data, researchers solve this issue in different ways. Only a few countries, such as Sweden, have the ability to calculate migration distances between point locations using Euclidean distance (in a straight line). In this article, as applied to Russia, the measure of correspondence between Euclidean distances and real distances along transport routes is investigated. For this purpose, 3407 pairs of distances were calculated for randomly selected 23 municipal districts of Russia directly and along transport routes — roads. Also, 411 pairs of distances were calculated for settlements with no auto connection, using air traffic. These distances give an idea of the migrations of different distances in Russia. As a result, for hypothetical resettlements within the selected municipal districts, real road distances exceed Euclidean distances by 51%. For resettlements between the centers of districts and urban districts within the region, this indicator exceeds 40%, and for interregional resettlements, the differences are 33%. The air service used “straightens” the distances, but even taking it into account, the real distances (mainly long-range, interregional) exceed the Euclidean ones by 28.5%. The calculations performed to give an idea of the deviations of real, transport distances from the relatively easy-to-calculate Euclidean ones, which can be used in the analysis of migration distances in Russia.

Research target: Earth Sciences Sociology (including Demography and Anthropology
Language: Russian
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DOI
Text on another site
Keywords: регионы Россиимиграция населения муниципальные образованияregions of RussiamunicipalitiesrangeEuclidean distancetransport distanceдальностьтранспортное расстояние population migration евклидово расстояние
Publication based on the results of:
Recent trends in demographic and migration processes in Russia and in neighboring countries in the light of the Population Censuses of the 2020-2021 round (2023)
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