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Work commuting of the population in the Moscow agglomeration: Estimating commuting flows using mobile operator data

Author

Listed:
  • A. G. Makhrova

    (Moscow State University)

  • P. L. Kirillov

    (Moscow State University)

  • A. N. Bochkarev

    (Moscow State University)

Abstract

The paper estimates the scales and spatial structure of work commuting in the Moscow agglomeration using mobile operators data about network user locations and considers the attractiveness of the Moscow labor market and local centers, as well as seasonal fluctuations in commuting flows. The attempt of using mobile operator data on movements of mobile phone users has shown good applicability of this tool for labor commuting studies both as an independent source and in combination with other data. Regression analysis is used to delineate the zone of “efficient” work commuting (territory about 50 km from the Moscow Ring Road, which serves as bedroom suburbs of the capital) and the “zero efficiency” boundary (150 km or 170 min), which shows the limiting size of the area of Moscow employment gravitation. A seasonal dynamics study shows that work commuting flows from oblast municipalities that border Moscow increase along with return flows of dachniki and suburbanized Muscovites who prefer living in a comfortable natural, country or half-country environment in their country houses, which is especially noticeable in the summer season.

Suggested Citation

  • A. G. Makhrova & P. L. Kirillov & A. N. Bochkarev, 2017. "Work commuting of the population in the Moscow agglomeration: Estimating commuting flows using mobile operator data," Regional Research of Russia, Springer, vol. 7(1), pages 36-44, January.
    • Handle: RePEc:spr:rrorus:v:7:y:2017:i:1:d:10.1134_s2079970517010051
    DOI: 10.1134/S2079970517010051
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    References listed on IDEAS

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    1. CSAJI, Balazs Cs. & BROWET, Arnaud & TRAAG, V.A. & DELVENNE, Jean-Charles, 2013. "Exploring the mobility of mobile phone users," LIDAM Reprints CORE 2508, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Csáji, Balázs Cs. & Browet, Arnaud & Traag, V.A. & Delvenne, Jean-Charles & Huens, Etienne & Van Dooren, Paul & Smoreda, Zbigniew & Blondel, Vincent D., 2013. "Exploring the mobility of mobile phone users," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1459-1473.
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    Cited by:

    1. A. G. Makhrova & R. A. Babkin & P. L. Kirillov & A. V. Starikova & A. V. Sheludkov, 2022. "Temporary Mobility and Population Pulsations in Space of Post-Soviet Russia," Regional Research of Russia, Springer, vol. 12(1), pages 36-50, March.
    2. L. B. Karachurina & N. V. Mkrtchyan & M. S. Savoskul, 2022. "New Data on Population Migration in Russia: a Challenge for Researchers?," Regional Research of Russia, Springer, vol. 12(1), pages 51-66, March.
    3. Alexander Sheludkov & Alexandra Starikova, 2022. "Nighttime‐lights satellite imagery reveals hotspots of second home mobility in rural Russia (a case study of Yaroslavl Oblast)," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(4), pages 877-890, August.
    4. V. N. Leksin, 2021. "Systemic Causes and Consequences of Spatially Mediated Depopulation," Regional Research of Russia, Springer, vol. 11(4), pages 513-523, October.
    5. A. G. Makhrova & P. L. Kirillov, 2018. "Trends in the Development of the New Moscow Sector of the Metropolitan Agglomeration," Regional Research of Russia, Springer, vol. 8(3), pages 238-247, July.
    6. A. G. Makhrova & R. A. Babkin, 2020. "Methodological Approaches to the Delimitation of the Boundaries of the Moscow Agglomeration Based on Data from Mobile Network Operators," Regional Research of Russia, Springer, vol. 10(3), pages 373-380, July.
    7. E. V. Antonov & N. K. Kurichev & A. I. Treivish, 2022. "Shrinking Urban System of the Largest Country: Research Progress and Unsolved Issues," Regional Research of Russia, Springer, vol. 12(1), pages 20-35, March.
    8. E. V. Antonov & A. G. Makhrova, 2019. "Largest Urban Agglomerations and Forms of Settlement Pattern at the Supra-Agglomeration Level in Russia," Regional Research of Russia, Springer, vol. 9(4), pages 370-382, October.
    9. A. A. Romashina, 2020. "Types of Municipalities in Russian Federation by Economic Structure and Position in Settlement Pattern," Regional Research of Russia, Springer, vol. 10(2), pages 164-171, April.
    10. A. A. Romashina, 2021. "How Express Trains from Moscow Affect Population Mobility," Regional Research of Russia, Springer, vol. 11(1), pages 61-70, January.
    11. R. A. Babkin, 2024. "Review of Russian Approaches to Assessing Commuting Labor Migration," Regional Research of Russia, Springer, vol. 14(2), pages 160-169, June.
    12. N. K. Kurichev & E. K. Kuricheva, 2018. "Relationship of Housing Construction in the Moscow Urban Agglomeration and Migration to the Metropolitan Area," Regional Research of Russia, Springer, vol. 8(1), pages 1-15, January.
    13. A. N. Bochkarev, 2019. "Methodological Aspects of Studying Labor Commuting," Regional Research of Russia, Springer, vol. 9(2), pages 173-180, April.
    14. V. I. Blanutsa & K. A. Cherepanov, 2019. "Regional Information Flows: Existing and New Approaches to Geographical Study," Regional Research of Russia, Springer, vol. 9(1), pages 97-106, January.
    15. N. K. Kurichev & E. K Kuricheva, 2019. "Migration and Investment Activity of Residents of Russian Cities in the Housing Market of Moscow Agglomeration," Regional Research of Russia, Springer, vol. 9(3), pages 213-224, July.

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