Calculation of the Deadlines for the Implementation of Key Measures of the Moscow Housing Stock Renovation Program

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Resumo

To ensure the deadlines for the implementation of the Moscow housing stock renovation program, it is fundamentally important to use an up-to-date model for the implementation of the program. The presented article is devoted to the development of methods for assessing the dynamics of the duration of the processes of resettlement of residents and demolition of evicted houses under the renovation program. As a solution to this problem, the use of a time series estimation method is proposed. The purpose of the study was to identify quantitative changes in the values of the average duration of the processes of resettlement and demolition of apartment buildings during the implementation of the renovation program, the development and approbation of algorithms for their calculation. In case of positive experience in the application of the developed methodology, it can be extended to use in the study of the dynamics of other processes in the renovation program. Including when assessing the duration of construction of new houses.

Sobre autores

S. Semenov

Research and Design Center «City Development»; National Research Moscow State University of Civil Engineering

Autor responsável pela correspondência
Email: s.semenov@dev-city.ru

Deputy General Director, Postgraduate student of the Department of Technology and Organization of Construction Production

Rússia, 19, structure 3, Mira Avenue, Moscow, 129090; 26, Yaroslavskoe Highway, Moscow, 129337

I. Grishutin

Research and Design Center «City Development»

Email: i.grishutin@dev-city.ru

Head of the Department for Implementation of Information Systems and Scientific Research Results

Rússia, 19, structure 3, Mira Avenue, Moscow, 129090

Bibliografia

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  5. Kievskiy L.V., Semenov S.A., Grishutin I.B., Mina- kov S.S. Methods of network planning and management in the implementation of territory planning projects. Promyshlennoye i grazhdanskoye stroitel’stvo. 2019. No. 8, pp. 49–54. (In Russian).
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  7. Argunov S.V., Semenov S.A., Argunov Y.S. Integrated methodology for forecasting an enlarged cost schedule for large-scale urban projects. Promyshlennoye i grazhdanskoye stroitel’stvo. 2022. No. 11, pp. 38–44. (In Russian).

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