Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: IOP Publishing Ltd; 10 January 2022 through 12 January 2022; 10 January 2022 through 12 January 2022

Год издания: 2022

Идентификатор DOI: 10.1088/1755-1315/988/5/052037

Аннотация: This article considers the issue of identification of the key factors determining the composition and classification of housing in a large city. The results of the analysis conducted made the authors conclude that the structure and classification of housing are primarily determined by the level of housing availability for local residents; it depends on the city population count, the average cost of 1 sq.m. of residential housing, and the average income level. The authors developed a multifactor linear regression equation that explains the 98.3% correlation between the parameters mentioned and can be used to forecast housing market development in cities. Based on the performed analysis of the key parameters of residential buildings that are being built in Krasnoyarsk, the authors provided recommendations for apartment parameters to be used when designing apartment blocks. © 2022 Institute of Physics Publishing. All rights reserved.

Журнал: IOP Conference Series: Earth and Environmental Science

Выпуск журнала: Vol. 988, Is. 5

Номера страниц: 52037

ISSN журнала: 00177483

• Sarchenko V.I. (Department of Designing of Buildings and Real Estate Examination, Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
• Khirevich S.A. (Department of Designing of Buildings and Real Estate Examination, Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
• Sarchenko M.V. (LLC «Krasstroy-service», 31a, Turgenev street, Krasnoyarsk, 660019, Russian Federation)

• Scopus
• Ядро РИНЦ (eLIBRARY.RU)