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Methodology for Monitoring the Mobility of Circular Labour Migrants in Moscow Region

Author

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  • Yulia Yu. Shitova

    (Russian State University for the Humanities, Moscow, Russia)

Abstract

The paper presents the original author's methodology for monitoring commuting labour migration in a region on the example of Moscow Region. The methodology is based on regular collection of real-time information from the Yandex.Probki platform on the regional transport network state by querying and saving travel time for a fixed set of car routes (basic sample) covering the region under study. An analysis of the data collected over the past two years enabled studying the structure and dynamics of travel time losses by commuting labour migrants. The time dynamics of losses are sensitive to events such as lockdowns and holidays. The estimates obtained show a stable cyclicity of travel time losses within a day and a week, which confirms the validity of the indicator proposed by the author. The study demonstrates that the loss of time on the commute during peak hours is 2.5 times higher than the loss when driving without traffic jams. In conclusion, the paper discusses the prospects for scaling the author's methodology to any regions in which the Yandex.Probki platform is present.

Suggested Citation

  • Yulia Yu. Shitova, 2022. "Methodology for Monitoring the Mobility of Circular Labour Migrants in Moscow Region," Population and Economics, ARPHA Platform, vol. 6(1), pages 1-13, March.
    • Handle: RePEc:arh:jpopec:v:6:y:2022:i:1:p:1-13
    DOI: 10.3897/popecon.6.e77308
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    More about this item

    Keywords

    Commuting labour migration Moscow Moscow Region geoinformation systems GIS analysis;

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

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