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Studying and Estimating Temporary Mobility and Population Pulsations in Space of Modern Russia

https://doi.org/10.31857/S2587556622030104

Abstract

The paper summarizes recent studies by Russian researchers on various types of temporary mobility and related temporal population pulsations. It is shown that the practice of their study in Russia is in line with the key areas of research on the spatiotemporal population dynamics currently developing abroad. The methodology of commuting studies is enriched, the first research studies on the event-related mobilities tend to appear. Forms of mobility specific to Russia are also being actively studied, including dacha migration (in many respects close to international studies of migration to second homes) and otkhodnichestvo. In addition to objective trends associated with the growth of population mobility, the rapid growth of research interest stems from the expansion of information and the resource base on temporary mobility, including agricultural census materials, information from mobile operators, interpretation of satellite images, etc. The review of certain types of mobility provides estimates of the scale of their distribution in Russia, intensity, and rhythmic patterns and summarizes key factors (spatial, social, labor, etc.). The content of the approaches used by Russian authors is revealed, the results obtained by referring to special methods of studying temporary mobility and the mechanisms of its dynamics are given. The main directions, methodological barriers, and challenges of future studies of mobility and pulsations, including the need to research territories with the greatest intensity of temporary migrations, have been identified. The potential for using methods to analyze temporal population pulsations in relation to the spatiotemporal variability of settlement systems is shown. In particular, the case of the Moscow metropolitan region demonstrates the basic laws of polyrhythmic pulsation mechanisms, leading to maximum variability (involving up to 40% of the permanent population). The theory of population pulsations is at the formation stage: despite the development of the first models of pulsating settlement systems, including the pulsating urban agglomeration model, many of their quantitative parameters still remain informal.

About the Authors

A. G. Makhrova
Moscow State University
Russian Federation

Faculty of Geography

Moscow



R. A. Babkin
Plekhanov Russian University of Economics
Russian Federation

Moscow



P. L. Kirillov
Moscow State University
Russian Federation

Faculty of Geography

Moscow



A. V. Starikova
Institute of Geography, Russian Academy of Sciences
Russian Federation

Moscow



A. V. Sheludkov
Institute of Geography, Russian Academy of Sciences
Russian Federation

Moscow



References

1. Adamiak C., Pitkänen K., Lehtonen O. Seasonal residence and counterurbanization: The role of second homes in population redistribution in Finland. GeoJournal, 2017, vol. 82, no. 5, pp. 1035–1050.

2. Ahas R., Aasa A., Silm S., Tiru M. Daily rhythms of suburban commuters’ movements in the Tallinn metropolitan area: case study with mobile positioning data. Transp. Res. Part C: Emerg. Technol., 2010, vol. 18, no.1, pp. 45–54.

3. Ahas R., Silm S., Aasa A., Leetmaa K., Saluveer E., Tiru M. Commuting in Estonia. An analysis based on mobile positioning data. In Regional Development in Estonia. Narusk E., Ed. Tallinn: Statistics Estonia, 2011, pp.197–204.

4. Alekseev A.I., Vorobiev M.I. How many rural residents are there in Russia in winter? Vestn. Mosk. Univ., Ser. 5: Geogr., 2018, no. 5, pp. 104–107. (In Russ.).

5. Andersson M., Lavesson N., Niedomysl T. Rural to urban long-distance commuting in Sweden: Trends, characteristics and pathways. J. Rural Stud., 2018, vol. 59, pp.67–77.

6. Andrienko G., Andrienko N. Spatio-temporal aggregation for visual analysis of movements. IEEE Conf. Vis. Anal. Sci. Technol., 2008, pp. 51–58. https://doi.org/10.1109/VAST.2008.4677356

7. Antonov E.V. Labor mobility of the population in Russia (according to the 2010 All-Russian Population Census data). Vestn. Mosk. Univ., Ser. 5: Geogr., 2016, no. 2, pp.54–63. (In Russ.).

8. Averkieva K.V. Labor markets and the role of otkhodnichestvo in the employment of rural inhabitants of Russia’s Non-Chernozem Zone. Reg. Res. Russ., 2016, vol. 6, pp. 21–31. https://doi.org/10.1134/S2079970516010020

9. Averkieva K.V., Nefedova T.G. Dacha “colonization” of the Russian countryside. Case of the Kostroma oblast. Mir Rossii, 2016, vol. 25, no. 1, pp. 103–128. (In Russ.).

10. Babkin R.A. Dynamics of settlement pattern in the Moscow region according to cellular operators’ data. Cand. Sci. (Geogr.) Dissertation. Moscow: Moscow State Univ., 2020. 234 p.

11. Badina S.V., Babkin R.A. Assessment of Moscow population vulnerability to natural and technogenic hazards. InterCarto. InterGIS, 2021, vol. 27, part 4, pp. 184–201. (In Russ.). https://doi.org/10.35595/2414-9179-2021-4-27-184-201

12. Ball R.M. The use and definition of travel-to-work areas in Great Britain: Some problems. Reg. Stud., 1980, vol.14, pp. 125–139.

13. Bedrina E.B., Kozlova O.A., Ishukov A.A. Methodological issues of estimating commuting. Ars Administrandi (Iskusstvo Upravleniya), 2018, vol. 10, no. 4, pp. 631– 648. (In Russ.).

14. Bell M., Ward. G. Comparing temporary mobility with permanent migration. Tour. Geogr., 2000, vol. 2, no. 1, pp.87–107. https://doi.org/10.1080/146166800363466

15. Bochkarev A.N. Methodological aspects of studying labor commuting. Reg. Res. Russ., 2019, vol. 9, pp. 173–180. https://doi.org/10.1134/S2079970519020011

16. Bogorov V.G., Novikov A.V., Serova E.I. Self-knowledge of a city. In Arkheologiya periferii. Mater. Moskovskogo urbanisticheskogo foruma [Archaeology of the Periphery. Proc. Moscow Urban Forum]. Moscow: Meganom. Strelka, 2013, pp. 380–405. (In Russ.).

17. Borodina O.A. Tourism as a hidden form of migration in modern Russia. Migratsiya i Sotsial’no-Ekonomicheskoe Razvitie, 2018, vol. 3, no. 3, pp. 105–112. https://doi.org/10.18334/migration.3.3.41044

18. Brade I. Between a dacha and a fashionable residence. The Western idea. Reg. Res. Russ., 2014, vol. 4, no. 3, pp.174–178.

19. Brade I. Between a dacha and a fashionable residence. The Western idea. Reg. Res. Russ., 2014, vol. 4, no. 3, pp.174–178.

20. Bugaev M.A. Commuting in the labor market of St. Petersburg and Leningrad oblast. Vestn. S-Peterb. Univ., Ser. 5: Ekon., 2015, no. 4, pp. 86–116. (In Russ.).

21. Charles-Edwards E., Bell M., Panczak R., Corcoran J. A Framework for official temporary population statistics. J. Off. Stat., 2020, vol. 36, no. 1, pp. 1–24. https://doi.org/10.2478/JOS-2020-0001

22. Constant A. Time-Space Dynamics of Return and Circular Migration: Theories and Evidence. GLO Discussion Paper. No. 446. Essen: Global Labor Organization (GLO), 2020. 39 p.

23. Cresswell T. On the Move: Mobility in the Modern Western World. Routledge, 2006. 340 p.

24. Csáji B., Browet A., Traag V.A., Delvenne J-C., Huens E., Van Dooren P., Smoreda Z., Blondel V. Exploring the mobility of mobile phone users. Physica A Stat. Mech. Appl., 2013, vol. 392, no. 6, pp. 1459–1473.

25. Dickinson R.E. The geography of commuting in West Germany. Ann. Assoc. Am. Geogr., 1959, vol. 49, no. 4, pp.443–456.

26. Dorofeeva L.A., Kas’yanova E.A. Commuting in Krasnoyarsk urban agglomeration (by the example of Emelyanovsky district settlements). Izv. Irkutsk. Gos. Univ., Ser.: Nauki o Zemle, 2017, vol. 20, pp. 25–42. (In Russ.)

27. Duranton G. Delineating metropolitan areas: measuring spatial labor market networks through commuting patterns. In The Economics of Interfirm Networks. Watanabe T., Uesugi I., Ono A., Eds. Tokyo: Springer-Verlag, 2015, pp. 107–133. https://doi.org/10.1007/978-4-431-55390-8_6

28. Florinskaya Yu.F., Mkrtchyan N.V., Maleva T.M., Kirillova M.K. Migratsiya i rynok truda [Migration and the Labor Market]. Moscow: Delo Publ., 2015. 108 p.

29. Fomkina A.A. Discrepancies in the rural population number estimates (case study of the Tver oblast). Vestn. Mosk. Univ., Ser. 5: Geogr., 2017, no. 6, pp. 88–91. (In Russ.).

30. Goroda-sputniki [Satellite Cities]. Davodivich V.G., Khorev B.S., Eds. Moscow: Geografgiz Publ., 1961. 196 p.

31. Halfacree K. Heterolocal identities? Counter-urbanisation, second homes, and rural consumption in the era of mobilities. Popul. Space Place, 2012, vol. 18, no. 2, pp.209–224.

32. Kazakov S.G. Economic and geographical features of Kursk dachas. Vestn. Mosk. Gos. Obl. Univ., Ser. Estestv. Nauki, 2019, no. 1, pp. 92–102. (In Russ.).

33. Khisty C.J, Zeitler U. Is hypermobility a challenge for transport ethics and systemicity? Syst. Pract. Action Res., 2001, vol. 14, no. 5, pp. 597–613.

34. Khorev B.S., Likhoded V.N. Zhitel’ sela–rabotnik goroda [Village Dweller–City Worker]. Moscow: Finansy i Statistika Publ., 1982. 295 p.

35. Kirillova E.K. Temporary labor migration from Ukraine to Russia. Probl. Prognozirovaniya, 1996, no. 6, pp. 97– 106. (In Russ.).

36. Kulu H., Lundholm E., Malmberg G. Is spatial mobility on the rise or in decline? An order-specific analysis of the migration of young adults in Sweden. Popul. Stud., 2018, vol. 72, no. 3, pp. 323–337.

37. Leksin V.N. New otkhodnichestvo and shift labor organization in the depopulation and settlement of territories. Reg. Res. Russ., 2022, vol. 12, no. 1, pp. 78–85.

38. Loginov V.G., Ignat’eva M.N., Yurak V.V., Drozdova I.V. Drive-in/drive-out method of employing people for Arctic oil and gas resources exploration. Izv. Vyssh. Uchebn. Zaved., Gornyi Zh., 2020, no. 5, pp. 66–79. (In Russ.).

39. Lu X., Bengtsson L., Holme P. Predictability of population displacement after the 2010 Haiti earthquake. Proc. Natl. Acad. Sci. U.S.A., 2012, vol. 109 (29), pp. 11576– 11581. https://doi.org/10.1073/pnas.1203882109

40. Lukhmanov D.N. Nonagricultural rural settlement pattern in the Russian Soviet Federative Socialist Republic: Current structure and dynamics. In Evolyutsiya rasseleniya v SSSR [Evolution of Settlement System in the USSR]. Moscow: Akad. Nauk SSSR, Pol’skaya Akad. Nauk, 1989, vol. 2, pp. 60–80. (In Russ.).

41. Makhrova, A.G., The seasonal dacha settlement pattern as an indicator of spatial development contrasts. Reg. Res. Russ., 2021, vol. 11, no. 2, pp. 199–211.

42. Makhrova A.G., Babkin R.A. Analysis of Moscow agglomeration settlement system pulsations based mobile operators data. Reg. Issled., 2018, no. 2, pp. 68–78. (In Russ.).

43. Makhrova A.G., Babkin R.A. Methodological approaches to the delimitation of the boundaries of the Moscow agglomeration based on data from mobile operators. Reg. Res. Russ., 2020, vol. 10, no. 3, pp. 373–380. https://doi.org/10.1134/S2079970520030090

44. Makhrova A.G., Babkin R.A., Kirillov P.L., Kazakov E.E. Moscow dachas: Will the second home become the first? Reg. Res. Russ., 2021, vol. 11, no. 4, pp. 555–568.

45. Makhrova A.G., Bochkarev A.N. Analyzing local labor markets through commuting (a study of Moscow municipalities). Vestn. S.–Peterb. Univ. Nauki o Zemle, 2018, vol. 63, no. 1, pp. 56–68. (In Russ.). https://doi.org/10.21638/11701/spbu07.2018.104

46. Makhrova A.G., Kirillov P.L. Seasonal pulsation of settlement pattern in the Moscow agglomeration under the influence of dacha and work commuting: Approaches to studies and assessment. Reg. Res. Russ., 2016, vol. 6, pp. 1–8. https://doi.org/10.1134/S2079970516010081

47. Makhrova A.G., Kirillov P.L., Bochkarev A.N. Work commuting of the population in the Moscow agglomeration: Estimating commuting flows using mobile operator data. Reg. Res. Russ., 2017, vol. 7, pp. 36–44. https://doi.org/10.1134/S2079970517010051

48. Makhrova A.G., Medvedev A.A., Nefedova T.G. Gardening and dacha communities of urban dwellers in the settlement system. Vestn. Mosk. Univ., Ser. 5: Geogr., 2016, no. 2, pp. 64–74. (In Russ.).

49. Makhrova A.G., Nefedova T.G. Can the COVID-19 pandemic inspire suburbanization in Central Russia? Vestn. Mosk. Univ., Ser. 5: Geogr., 2021, no. 4, pp. 104–115. (In Russ.).

50. Makhrova A.G., Nefedova T.G., Pallot J. The specifics and spatial structure of circular migration in Russia. Eurasian Geogr. Econ., 2016, vol. 57, no. 6, pp. 802–818.

51. Marcu S. Tears of time: a Lefebvrian rhythmanalysis approach to explore the mobility experiences of young Eastern Europeans in Spain. Trans. Inst. Br. Geogr., 2017, vol. 42, no. 3, pp. 405–416.

52. Medvedev A.A. Gunko M.S. GIS mapping for analysis of spatial dynamics of population distribution. Izv. VUZov. Geodeziya i Aerofotos’’emka, 2016, no. 6, pp. 85–91. (In Russ.).

53. Mezhdu domom i … domom. Vozvratnaya prostranstvennaya mobil’nost’ naseleniya Rossii [Between Home and … Home. Return Spatial Mobility of the Russian Population]. Nefedova T.G., Makhrova A.G., Averkieva K.V., Eds. Moscow: Novyi Khronograf Publ., 2016. 504 p.

54. Mkrtchyan N.V., Florinskaya Yu.F. Labor migration in Russia: International and domestic aspects. Zh. Novoi Ekonomicheskoi Assotsiatsii, 2018, no. 1, pp. 186–193. (In Russ.).

55. Mkrtchyan N.V., Karachurina L.B. Migration in Russia: flows and centers of gravity. Demoskop Weekly, 2014, nos. 595–596. Available at: http://www.demoscope.ru/weekly/2014/0595/tema01.php (accessed: 21.11.2021). (In Russ.).

56. Mosienko N.L., Ivanova V.V., D’yachkova P.A. Spatial mobility of residents of the Novosibirsk oblast (based on the mass survey of residents of the region in 2018). ECO, 2020, vol. 50, no. 4, pp. 146–165. (In Russ.).

57. Moskovskii stolichnyi region: territorial’naya struktura i prirodnaya sreda (opyt geograficheskogo issledovaniya) [The Moscow Capital Region: Territorial Structure and Natural Environment (Experience of Geographical Research)]. Lappo G.M., Gol’ts G.A., Treivish A.I., Eds. Moscow: Inst. Geogr. AN, 1988. 321 p.

58. Nadler R. Multilocality: An Emerging Concept between the Terms of Mobility and Migration. URBEUR, 2009. 33 p. https://doi.org/10.13140/RG.2.1.1289.9927

59. Nefedova T.G. Seasonal labor migration in the system of migration in post-Soviet Russia. Prerequisites. Demoskop Weekly, 2015, nos. 641–642. Available at: http://www.demoscope.ru/weekly/2015/0641/tema01.php (accessed: 21.11.2021). (In Russ.).

60. Nefedova T.G., Makhrova A.G. Dacha residents between two capitals. In Puteshestvie iz Peterburga v Moskvu: 222 goda spustya [Journey from St. Petersburg to Moscow: 222 Years Later]. Nefedova T.G., Treivish A.I., Eds. Moscow: URSS Publ., 2015, book 1, pp. 190–207. (In Russ.).

61. Nefedova T.G., Medvedev A.A. Shrinkage of the developed space in Central Russia: Population dynamics and land use in rural areas. Reg. Res. Russ., 2020, vol. 10, pp. 549– 561. https://doi.org/10.1134/S2079970520040073

62. Nefedova T.G., Pokrovsky N.E. Terra incognita of the Russian near North: Counter-urbanization in today’s Russia and the formation of dacha communities. Eur. Countrys., 2018, vol. 10, no. 4, pp. 673–692.

63. Nefedova T.G., Pokrovsky N.E., Treivish A.I. Urbanization, desurbanization and rural-urban communities in the face of growing horizontal mobility. Sotsiol. Issled., 2015, no. 12, pp. 60–69. (In Russ.).

64. Nefedova T.G., Starikova A.V Migrations as a way of population adaptation to polarization of space at the center of Russia. Sotsiol. Issled., 2020, no. 10, pp. 24–38. (In Russ.).

65. Nefedova T.G., Treivish A.I. Urbanization and seasonal deurbanization in modern Russia. Reg. Res. Russ., 2019, vol. 9, no. 1, pp. 1–11.

66. Nemeškal J., Ouředníček M., Pospíšilová L. Temporality of urban space: daily rhythms of a typical week day in the Prague metropolitan area. J. Maps, 2020, vol. 16, no. 1, pp.30–39. https://doi.org/10.1080/17445647.2019.1709577

67. Nikolaeva U.G., Rusanov A.V. Self-isolation at the dacha: Can’t? Can? Have to? Population and Economics, 2020, vol. 4, no. 2, pp. 182–198. https://doi.org/10.3897/popecon.4.e54577

68. Nilbe K., Ahas R., Siiri S. Evaluating the travel distances of events visitors and regular visitors using mobile positioning data: The case of Estonia. J. Urban Technol., 2014,vol.21,no.2,pp.91–107. https://doi.org/10.1080/10630732.2014.888218

69. Ovchintseva L.A. Economic significance and social role of gardening associations. Regional’naya Ekonomika: Teoriya i Praktika, 2012, no. 3 (234), pp. 50–55. (In Russ.).

70. Paredes D., Soto J., Fleming D.A. Wage compensation for fly-in/fly-out and drive-in/drive-out commuters. Pap. Reg. Sci., vol. 97, no. 4, pp. 1337–1353.

71. Perry M., Rowe J. Fly-in, fly-out, drive-in, drive-out: The Australian mining boom and its impacts on the local economy. Local Econ., 2015, vol. 30, no. 1, pp. 139–148.

72. Petrov N.V. An attempt to identify the “summer” and “winter” boundaries of the Moscow agglomeration. In Prostranstvenno-vremennoi analiz sistemy rasseleniya Moskovskogo stolichnogo regiona [Spatial and Temporal Analysis of the Settlement System of the Moscow Capital Region]. Moscow: Akad. Nauk SSSR, Pol’skaya Akad. Nauk, 1988, pp. 160–167. (In Russ.).

73. Plyusnin Yu.M, Zausaeva Ya.D., Zhidkevich N.N., Pozanenko A.A. Otkhodniki [Temporal Labor Migrants]. Moscow: Novyi Khronograf Publ., 2013. 288 p.

74. Plyusnin Yu.M., Pozanenko A.A., Zhidkevich N.N. Seasonal labor migration (Otkhodnichestvo) as a new social phenomenon in modern Russia. Mir Rossii, 2015, vol. 24, no. 1, pp. 35–71. (In Russ.).

75. Pokrovsky N.E., Makshanchikova A.Yu., Nikishin E.A. Reverse migration in pandemic crisis: Russia’s rural areas as an adaptation resource. Sotsiol. Issled., 2020, no.12, pp. 54–64. (In Russ.).

76. Ratti C., Sevtsuk A., Huang S., Pailer R. Mobile Landscape: Graz in Real Time. MIT publication, 2005.

77. Rumjancev I.N., Smirnova A.A., Tkachenko A.A. Rural settlements «without population» as a geographical and statistical phenomenon. Vestn. Mosk. Univ., Ser. 5: Geogr., 2019, no. 1, pp. 29–37. (In Russ.).

78. Rusanov A.V. Dacha dwellers and gardeners: garden plots and second homes in Europe and Russia. Population and Economics, 2019, vol. 3, pp. 107–124. https://doi.org/10.3897/popecon.3.e34783

79. Rusanov A.V. Dynamics of dacha settlement pattern in the Moscow oblast. Vestn. Mosk. Univ., Ser. 5: Geogr., 2019, no. 5, pp. 67–76. (In Russ.).

80. Rusanov A.V. Institutional and regional features of organized dacha development in Russia. Population and Economics, 2021, vol. 5, no. 3, pp. 43–55. https://doi.org/10.3897/popecon.5.e70197

81. Ruslani A., Madjida W.O.Z., Nughroho A.R.S. The Use of Mobile Positioning Data to Obtain Accommodation Statistics: Case Study of Indonesia. Bangkok, 2019. 19 p.

82. Ryndzyunskii P.G. Krest’yane i gorod v kapitalisticheskoj Rossii vtoroj poloviny XIX v. [Countrymen and Urban Settlement in Capitalist Russia in Second Half of the 19th Century]. Moscow: Nauka Publ., 1983. 272 p. (In Russ.).

83. Second Home Tourism in Europe: Lifestyle Issues and Policy Responses. Roca Z., Ed. Farnham, UK: Ashgate Publ., 2013. 310 p.

84. Sheller M., Urry J. The new mobilities paradigm. Environ. Plan. A, 2006, vol. 38, no. 2, pp. 207–226. https://doi.org/10.1068/a37268

85. Sheludkov A., Starikova A. Night-time lights satellite imagery reveals hotspots of second home mobility in rural Russia (a case study of Yaroslavl oblast). Reg. Sci. Policy Pract., 2021. https://doi.org/10.1111/rsp3.12441

86. Sheludkov A., Starikova A. Summer suburbanization in Moscow Region: Investigation with nighttime lights satellite imagery. Environ. Plan. A, 2022, vol. 54, no. 3, pp.446–448. https://doi.org/10.1177/0308518X221076502

87. Shchepetkova I.O. Dachas in the suburbs of Perm: history, territorial organization, and regional features. Reg. Res. Russ., 2018, vol. 8, no. 4, pp. 386–394.

88. Shitova Yu., Shitov Yu., Vlasov D. GIS-monitoring of time losses on the route home–work (by the example of the route Moscow region – Moscow). Probl. Teorii i Prakt. Upravleniya, 2017, no. 11, pp. 103–114. (In Russ.).

89. Shitova Yu.Yu., Shitov Yu.A. Commuting in Moscow region. Demoskop Weekly, 2013, nos. 569–570. Available at: http://www.demoscope.ru/weekly/2013/0569/tema01.php (accessed: 21.11.2021). (In Russ.).

90. Silm S., Jauhiainen J.S., Raun J., Tiru M. Temporary population mobilities between Estonia and Finland based on mobile phone data and the emergence of a crossborder region. Eur. Plan. Stud., 2021, vol. 29, no. 4. pp.699–719. https://doi.org/10.1080/09654313.2020.1774514

91. Storey K. Fly-in/fly-out: Implications for community sustainability. Sustainability, 2010, vol. 2, no. 5, pp. 1161– 1181.

92. Šveda M., Sládeková Madajová M., Barlík P., Križan F., Šuška P. Mobile phone data in studying urban rhythms: Towards an analytical framework. Morav. Geogr. Rep., 2020, vol. 28, no. 4, pp. 248–258.

93. Taborisskaya I.M. Mayatnikovaya migratsiya naseleniya [Commuting of the Population]. Moscow: Statistika Publ., 1979. 176 p. (In Russ.).

94. Treivish A.I. Dacha mobility, dacha mentality and dacha studies. Demoskop Weekly, 2015, nos. 655–656. Available at: http://www.demoscope.ru/weekly/2015/0655/tema01.php (accessed: 21.11.2021). (In Russ.).

95. Treivish A.I. “Dacha studies” as the science on second homes in the West and in Russia. Reg. Res. Russ., 2014, vol. 4, no. 3, pp. 179–188. https://doi.org/10.1134/S2079970514030095

96. Trukhachev S. Collective gardens as a new type of housing in the largest cities (the case of Rostov-on-Don). Gorodskie Issled. i Praktiki, 2017, no. 2 (3), pp. 16–27. (In Russ.).

97. Ulyaeva A.G., Migranova L.I. Investigation of commuting processes in urban agglomeration. Vestn. Belgorod. Univ. Kooperazii, Ekon. i Prava, 2017, no. 5, pp. 179– 193. (In Russ.).

98. Urry J. Mobilities. Cambridge, UK: Polity, 2007. 335 p.

99. Vand L.E., Gol’ts G.A. Modern problems of the theory of population return migrations. In Statistika migratsii naseleniya: uch. zap. po statistike AN SSSR [Statistics of Migration of the Population: A Study in Statistics of the Academy of Sciences of the USSR]. Moscow: Statistika Publ., 1973, vol. XXI, pp. 80–98. (In Russ.).

100. Velikii P.P. Neotkhodnichestvo, or the unnecessary people of today’s village. Sotsiol. Issled., 2010, no. 9, pp. 44– 49. (In Russ.).

101. Versichele M., Neutens T., Delafontaine M., Van de Weghe N. The use of Bluetooth for analyzing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities. Appl. Geogr., 2011, vol.32, pp. 208–220.

102. Versichele M., Neutens T., Goudeseune S., Van Bossche F., Van de Weghe N. Mobile mapping of sporting event spectators using Bluetooth sensors: Tour of Flanders sensors. Sensors, 2012, vol. 12, no. 10, pp. 14196–14213.

103. Vorob’eva O.D., Topilin A.V., Alikova A.S. Socio-demographic consequences of internal labor migration. Vestn. RAN, 2020, vol. 90, no. 12, pp. 1156–1163. (In Russ.).

104. Weichhart P. Multilokalität – Konzepte, Theoriebezüge und Forschungsfragen. Informationen zur Raumentwicklung, 2009, no. 1/2, pp. 1–14.

105. Wesolowski A., Eagle N., Tatem A., Smith D.L. Quantifying the impact of human mobility on malaria. Science, 2012, vol. 338 (6104), pp. 267–270. https://doi.org/10.1126/science.1223467

106. Yumaguzin V., Vinnik M.V. Communicational ties between the Republic of Bashkortostan and other Russian regions based on voice cell phone data. Geogr., Environ., Sustain., 2020, vol. 4, pp. 1–7. https://doi.org/10.24057/2071-9388-2020-98

107. Zamyatina N., Goncharov R. “Agglomeration of flows”: case of migration ties between the Arctic and the southern regions of Russia. Reg. Sci. Policy Pract., 2021. https://doi.org/10.1111/rsp3.12389

108. Zaslavskaya T.I., Rybakovskii L.L. Migration processes and their regulation in socialist society. Sotsiol. Issled., 1978, no. 1, pp. 56–66. (In Russ.).

109. Zelinsky W. The hypothesis of the mobility transition. Geogr. Rev., 1971, vol. 61, no. 2, pp. 219–249.

110. Zhidkevich N. Today’s migrant workers in the north and south of European Russia. Krest’yanovedenie, 2017, vol.2, no. 3, pp. 97–107. (In Russ.). https://doi.org/10.22394/2500-1809-2017-2-3-97-107

111. Zhidkevich N.N., Plyusnin Yu.M., Pozanenko A.A. On modern seasonal labor migration as a successor model of life support in the Russian periphery. Vestn. Novosibirsk. Gos. Univ., Ser.: Sotsial’no-Ekonomicheskie Nauki, 2015, vol. 15, no. 2, pp. 132–142. (In Russ.).


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Makhrova A.G., Babkin R.A., Kirillov P.L., Starikova A.V., Sheludkov A.V. Studying and Estimating Temporary Mobility and Population Pulsations in Space of Modern Russia. Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya. 2022;86(3):332-352. (In Russ.) https://doi.org/10.31857/S2587556622030104

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