Housing construction dynamics in the 2010s as a factor of transformation of the Moscow agglomeration


Цитировать

Полный текст

Открытый доступ Открытый доступ
Доступ закрыт Доступ предоставлен
Доступ закрыт Только для подписчиков

Аннотация

The article considers the effects of housing construction on the transformation of the spatial structure of the Moscow urban agglomeration in the 2010s. A typology of housing projects according to initial assignment of land, area of new housing, and availability of social infrastructure is proposed. Total area of new housing under construction, shares of the residents of Moscow, Moscow oblast and other regions of Russia as the buyers of new dwellings are calculated. From this, the expected increase in population of Moscow urban agglomeration is assessed. To analyze the residential real estate market, zones of the Moscow agglomeration are selected, including its core, inner, and outer suburban belts. The historical center of Moscow and the surrounding belt of industrial territories are analyzed separately inside the core of the agglomeration. Active housing construction leads to differentiated spatial transformation of the agglomeration zones. The core is compacted by infill construction, redevelopment projects, and, at the same time, externally sprawling Moscow Automobile Ring Road (MKAD). The suburban area is on the path of extensive development via the building on free areas (greenfield), mainly along transport corridors.

Об авторах

E. Kuricheva

Moscow State University

Автор, ответственный за переписку.
Email: kuricheva@gmail.com
Россия, Moscow

A. Popov

Moscow State University

Email: kuricheva@gmail.com
Россия, Moscow

Дополнительные файлы

Доп. файлы
Действие
1. JATS XML

© Pleiades Publishing, Ltd., 2016

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).