The Seasonal Dacha Settlement Pattern as an Indicator of Spatial Development Contrasts

A. G. Makhrova ()
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A. G. Makhrova: Moscow State University, Faculty of Geography

Regional Research of Russia, 2021, vol. 11, issue 2, 199-211

Abstract: Abstract The article employs a number of seasonal settlement pattern indicators to reveal the degree of territorial contrast in the center of Russia at the level of municipalities in two cross sections. The first cross section passes from St. Petersburg along a highway through Leningrad, Novgorod, Tver, Moscow oblasts and Moscow to the southern border of Tula Oblast. The second cross section runs from the southern border of Kaluga Oblast through Moscow and Yaroslavl oblasts to the northeastern outskirts of Kostroma Oblast. Along the selected cross sections, agricultural census data are used to reveal trends in development of the seasonal settlement pattern. It is shown that at one pole are the suburbs of agglomerations, primarily Moscow and St. Petersburg, with a growing or stable dacha settlement network, and at the other pole are the outskirts of autonomously located small towns and urban-type settlements, where the dacha settlement network is decreasing. It was revealed that the share of used dachas is higher in the outskirts of both capitals, regional centers, and on the territory of these cities, while on the periphery, the overwhelming majority of plots are not used. In the infrastructural arrangement of dacha settlements, a center–periphery gradient is traced: with various types of infrastructure, settlements in cities and their suburbs are provided with the best type; that on the periphery is worse. It is shown that the trends in the dacha settlement pattern serve as indicators of spatial development contrasts in Russia, when the demand for dachas is concentrated in the largest cities and their suburbs due to population congestion in them, and the dacha settlement network on the periphery contracts due to depopulation.

Keywords: cross sections; dachas; seasonal settlement pattern (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (5)

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DOI: 10.1134/S2079970521020088

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