AbstractAbout AuthorsReferences
The article is devoted to the basic principles of the organization of the system for calculating the reserve of houses occupied during the implementation of the Renovation Program in Moscow. The purpose of creating a system for calculating the reserves of inhabited houses is to increase the speed and accuracy of obtaining data when taking into account real (not calculated) relocation and the effectiveness of management decisions made using algorithms developed by employees of LLC SDC «City Development». The process of creating and using algorithms for timely updating and providing attribute data is described. The algorithms are based on a variative balance model constructed in the form of a system of equations and representing balance ratios characterized by the equality of the available resource of inhabited houses and the available resource of the resettled fund. Based on the data obtained, tabular data, containing the minimum necessary attribute set for making important management decisions, are generated.
S.S. MINAKOV, Deputy Head of the Deparment of introducing information systems and results of scientific studies (This email address is being protected from spambots. You need JavaScript enabled to view it.),
K.A. GREKOVA, Expert of Monitoring Service of the Deparment of introducing information systems and results of scientific studies
K.A. GREKOVA, Expert of Monitoring Service of the Deparment of introducing information systems and results of scientific studies
OOO NPTS «City Development» (structure 3, 19, Mira Avenue, 129090, Moscow, Russian Federation)
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9. Kievskij I.L., Semenov S.A., Zhukov G.N., Grusheckij D.A. Information and cartographic control with business intelligence functions for city management. Promyshlennoe i grazhdanskoe stroitel’stvo. 2019. No. 8, pp. 72–78. (In Russian).
10. Grishutin I.B., Ignat’ev A.L., Minakov S.S. Mechanisms and monitoring of the implementation of the resettlement progress within the Renovation Program. V kn.: Renovatsiya. Krupnomasshtabnyi gorodskoi proekt rassredotochennogo stroitel’stva. [In the book: Renovation. Large scale urban dispersed building project]. Moscow: Russkaya shkola. 2018, pp. 104–113. https://dev-city.ru/uploads/s/w/f/v/wfvvbpgtz4tt/file/ho16Rvhi.pdf
2. Grishutin I.B., Arsen’ev S.V., Golysheva D.V Formation of a single information space for the management and control of software renovation. V kn.: Renovatsiya. Krupnomasshtabnyi gorodskoi proekt rassredotochennogo stroitel’stva. [In the book: Renovation. Large scale urban dispersed building project]. Moscow: Russkaya shkola. 2018, pp. 84–103. https://dev-city.ru/uploads/s/w/f/v/wfvvbpgtz4tt/file/ho16Rvhi.pdf
3. Kogan YU.V. The main trends in urban development in Moscow. Promyshlennoe i grazhdanskoe stroitel’stvo. 2019. No. 8, pp. 24–29. (In Russian).
4. Kievskij L.V., Argunov S.V. Renovation as a way to create a living environment of a new quality. V kn.: Renovatsiya. Krupnomasshtabnyi gorodskoi proekt rassredotochennogo stroitel’stva. [In the book: Renovation. Large scale urban dispersed building project]. Moscow: Russkaya shkola. 2018, pp. 57–65. https://dev-city.ru/uploads/s/w/f/v/wfvvbpgtz4tt/file/ho16Rvhi.pdf
5. Abyanov R.R. The impact of certain macroeconomic factors on the real estate market and the program of renovation of the housing stock in Moscow. Zhilishchnoe Stroitel’stvo [Housing Construction]. 2019. No. 11, pp. 19–25. (In Russian). DOI: https://doi.org/10.31659/0044-4472-2019-11-19-25
6. Kievskij L.V., Kargashin M.E., Parhomenko M.I., Sergeeva A.A. Organizational and economic model of renovation. Zhilishchnoe Stroitel’stvo [Housing Construction]. 2018. No. 3, pp. 47–55. (In Russian).
7. Kievskij L.V., Arsen’ev S.V., Kargashin M.E. Multi-factor organizational and economic model of renovation. V kn.: Renovatsiya. Krupnomasshtabnyi gorodskoi proekt rassredotochennogo stroitel’stva. [In the book: Renovation. Large scale urban dispersed building project]. Moscow: Russkaya shkola. 2018, pp. 114–129. https://dev-city.ru/uploads/s/w/f/v/wfvvbpgtz4tt/file/ho16Rvhi.pdf
8. Kievskij I.L., Arsen’ev S.V., Kargashin M.E. Renovation algorithms. Promyshlennoe i grazhdanskoe stroitel’stvo. 2019. No. 8, pp. 36–43. (In Russian).
9. Kievskij I.L., Semenov S.A., Zhukov G.N., Grusheckij D.A. Information and cartographic control with business intelligence functions for city management. Promyshlennoe i grazhdanskoe stroitel’stvo. 2019. No. 8, pp. 72–78. (In Russian).
10. Grishutin I.B., Ignat’ev A.L., Minakov S.S. Mechanisms and monitoring of the implementation of the resettlement progress within the Renovation Program. V kn.: Renovatsiya. Krupnomasshtabnyi gorodskoi proekt rassredotochennogo stroitel’stva. [In the book: Renovation. Large scale urban dispersed building project]. Moscow: Russkaya shkola. 2018, pp. 104–113. https://dev-city.ru/uploads/s/w/f/v/wfvvbpgtz4tt/file/ho16Rvhi.pdf
For citation: Minakov S.S., Grekova K.A. Application of balance models for choosing the optimal option for relocating residents to new buildings being built under the Renovation Program. Zhilishchnoe Stroitel’stvo [Housing Construction]. 2020. No. 11, pp. 10–15. (In Russian). DOI: https://doi.org/10.31659/0044-4472-2020-11-10-15