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

Yulia Yu. Shitova ()
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Yulia Yu. Shitova: Russian State University for the Humanities, Moscow, Russia

Population and Economics, 2022, vol. 6, issue 1, 1-13

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.

Keywords: Commuting; labour; migration; Moscow; Moscow; Region; geoinformation; systems; GIS; analysis (search for similar items in EconPapers)
JEL-codes: J22 J61 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:arh:jpopec:v:6:y:2022:i:1:p:1-13

DOI: 10.3897/popecon.6.e77308

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