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Subject
News
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.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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Территориальная доступность транспортного обслуживания в системе развития административных районов: динамика и новая реальность в Санкт-Петербурге

С. 92–105.
Kaisarova V. P., Koklev K.

The article examines the trends in the development of territorial accessibility of public transport for the population of the largest city based on the geoinformation analysis of the spatial features of its infrastructure. The article provides a transport dynamic for the period 2015-2024 based on cluster analysis of data on individual types of transport and in the structure of 18 urban districts of St. Petersburg. The analysis of the relationship between a number of indicators of public transport using QGIS software revealed spatial disproportions. The authors propose solutions for managing territorial transport accessibility in groups of districts and their borders for Russia's second capital.

Language: Russian
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Keywords: транспортная доступностьгородская инфраструктураurban infrastructuretransport accessibilityterritorial accessibilityтерриториальная доступностьthe cityconvenience of using modes of transportsocial acceptability of modes of transportкрупнейший городудобство пользования видами транспортасоциальная приемлемость вида транспорта

In book

Региональная экономика и развитие территорий: сборник научных статей
Вып. 19. , СПб.: Издательство СПбГЭУ, 2025.
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