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Человеко-машинная система анализа и улучшения качества условий проживания населения
Информационные процессы. 2026. Т. 26. № 3. С. 895–913.
Aleskerov F. T., Вайншток А. П., Делахова А. М., Дерендяев А. Б., Zontov Y., Myachin A. L., Парфенова О. Т., Tkachev D., Yakuba V. I.
The development and effective management of territorial entities are priority issues for all states, particularly in the context of the digital transformation of public administration. Over the past decade, the integration of information technologies into municipal and regional planning has significantly altered approaches to strategic development, service delivery, and public engagement. This paper describes the functionality of a human-machine web-based decision support system that implements novel mathematical models for indicator aggregation and scenario analysis of changes in living conditions. It introduces a set of indicators that significantly influence the socioeconomic and infrastructural living conditions of the population, with particular emphasis on the specific characteristics of northern territorial entities. The study presents a model for constructing living condition quality indices based on a threshold aggregation approach, which eliminates the "compensation effect"wherein high indicator values mask low ones. The system is designed to assess and improve the quality of living conditions across constituent entities of the Russian Federation, providing data at the level of municipal districts and cities. It enables territorial authorities not only to diagnose the current socioeconomic and infrastructural situation but also to forecast the consequences of management decisions. This work builds upon theoretical and practical results previously obtained through the system’s application in 11 Russian regions, 17 Russian cities, and two international cities. Currently being tested using data from districts in the Republic of Sakha (Yakutia), the system can be applied to other regions in the future, thereby enhancing the soundness and effectiveness of management decisions.
Research target:
Computer Science
Mathematics
Sociology (including Demography and Anthropology
Economics and Management
Language:
Russian
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Borushkina S., Gorodnichev A., Cities 2026 Vol. 179 No. 12 Article 107500
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Added: August 19, 2026
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Zykov S. V., Babkin E., Ulitin B., Вестник Российского университета дружбы народов. Серия: Литературоведение, журналистика 2023 Т. 28 № 4 С. 749–756
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Безбородникова Р. М., Ramenskaya A., Социальные и экономические системы 2022 № 6.6 С. 244–260
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Mylnikov L., Saltykova A., Аврамович З. Ж., Научно-техническая информация. Серия 2: Информационные процессы и системы 2024 № 7 С. 19–30
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