Spatiotemporal commuting patterns in Moscow region

A. Makhrova, R. Babkin and P. Kirillov
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A. Makhrova: Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia
R. Babkin: Russian University of Economics named after G. V. Plekhanov, Moscow, Russia
P. Kirillov: Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia

Journal of the New Economic Association, 2024, vol. 63, issue 2, 249-256

Abstract: The paper reviews and summarizes modern commuting studies in the Moscow region. Because of the absence of reliable statistics on daily commuting, mobile operators' data is becoming the main source of information for such studies. It provides basis for assessing general number of commuters, their spatial and temporal breakdown and variability. The study uncovers spatial distribution of daily commuting flows (in total 1.1- 1.5 million people to Moscow and 0.3-0.4 million outbound) identifying and justifying the radii of daily urban system bound (up to 150 km from Moscow Centre) and zone of highest commuting intensity (up to 50 km from Moscow Centre). Business and 'dormitory' areas as well as territories with a net balance of outcoming and incoming workflows are distinguished according to their status in the regional labour exchange. Main levels of the pulsating fluctuations (annual, weekly, daily) are combined in different ways allowing to delimit zones either of net gain or loss of workforce and its rate. In central and sub-central areas of Moscow the largest population change from night to daytime (up to 2-4 times) is observed. In the middle belt of the city outflow of workforce is compensated by inflow. The zone of net loss in daytime population spreads from the outer residential areas of the capital city over all the Oblast territory with a maximum in the nearest suburbs where the nighttime population drops by 30-35%. The seasonal factor in the commuters exchange between Moscow and Moscow oblast is most clearly manifested due to the phenomenon of seasonal suburbanization, with Muscovites moving to dachas during the warm half of a year thus joining the inbound commuting flow.

Keywords: work commuting; Moscow region; urban agglomeration; population pulsation (search for similar items in EconPapers)
JEL-codes: J61 R23 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:nea:journl:y:2024:i:63:p:249-256

DOI: 10.31737/22212264_2024_2_249-256

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