Second home mobility is a well‐known phenomenon in many countries, but is widely prominent in Russia, where millions of city dwellers move to rural areas during the summertime. Combating long‐term economic decline and depopulation, second home mobility creates a promising opportunity to revitalize the countryside. While this phenomenon is largely neglected by official statistics, we suggest using satellite imagery of nighttime lights to investigate its spatial and temporal patterns. We did this with the example of Yaroslavl Oblast in Russia. This region neighbors the Moscow Capital Region. It experiences a significant inflow of second home residents. By tracking the seasonal pixel‐wise changes of nighttime light radiance in monthly composites of satellite imagery from 2015 to 2019, we located hotspots of second homes and factors determining their spatial spread in rural areas. The results were evaluated with field research. Our results confirmed earlier conclusions that second homes’ locations in rural areas are largely determined by their proximity to Moscow, natural conditions, and transport accessibility. City dwellers often choose small and even fully abandoned villages for their second homes, which stresses the important role of second home mobility in preserving cultural landscapes. The proposed data and methods are limited by missing data for the northern regions during summer months and are more suitable for areas beyond the urban fringe where nighttime‐lights data are not biased by the ‘overglow’ of large cities.
The article presents the results of population mobility research at the territory of Bavaria. Different types of migration flows (resettlements, commuting, educational migration, etc.) within municipalities and through their borders, as well as between Bavaria and other parts of the country are analyzed. Spacetime features of population mobility are revealed. Main methods of analysis include delimitation of migration systems and calculation of human activity density. The study found that scale of population mobility within Bavaria is larger than migratory exchange with other parts of Germany. Commuting and other types of return population mobility take more important positions in the regional migration process.
The article deals with the analysis of student educational migration and its role in origin of spatial contrasts at the territory of Russian early developed regions. In the paper ongoing processes are considered on the case of Yaroslavl oblast at the intra-and interregional levels and compared to processes abroad on the case of German federal state of Bavaria. The results are based on examination of official statistical data, surveys among students (disclosing their spatial behavior during the study and after degree completion) and expert interviews with university spokespersons. Migration bonds of Yaroslavl universities as well as space-time features of educational migration (average distances, time costs, transportation means) in Yaroslavl oblast and Bavaria are revealed. The study found that educational migration (together with other population mobility types) plays an important role in spatial polarization at the research territory due to importance of Yaroslavl as big educational centre for northern part of Non-Chernozem zone (Vologda, Arkhangelsk, Kostroma oblasts and Komi Republic). School-leavers from small cities and countryside come to the regional capital for bachelor's degree completion, next they try to go to Moscow, St. Petersburg or other largest cities not only to get masters' degree, but also in search of life conditions improvement. They want to change place of permanent residence and to have a career on perspective labor market.
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