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Geovisualizing the recovery pattern of intercity mobility during the Covid-19 outbreak in China

Bibliographic Data

ID7997620
AuthorsLeibo Cui (0000-0002-3771-5902), Tao Li (0000-0001-7895-4136, corresponding author), Jiaoe Wang (0000-0003-1051-7727)
Year2022
Volume9
Issue1
Pages204-206
Publication date2022-04-29
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRegional Studies Regional Science (JOURNAL)
Journal identifiersISSN: 2168-1376 • E-ISSN: 2168-1376
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/21681376.2022.2060132
OpenAlexW4225115376
LanguageEN
Citations received3
References cited2

This paper visualizes variations in the recovery patterns of intercity mobility during the Covid-19 outbreak in China using cartogram mapping. We found large regional disparities in intercity mobility recovery, with lower recovery ratios and speeds primarily concentrated in megacities and provincial capitals. Conversely, the recovery of intercity mobility was relatively high in other cities, especially in some labour-exporting cities of central and south-western China. In addition, cities in southern China showed a relatively higher recovery ratio and speed in intercity mobility than those in northern China

2019-20 coronavirus outbreak · China · Coronavirus disease 2019 (COVID-19 · Economic geography · Economics · Economy · Geography · Megacity · Outbreak · Socioeconomics · Human Mobility and Location-Based Analysis · Medicine · Transportation Planning and Optimization · Urban Transport and Accessibility

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Unique citing works3
Citations per year0,75
Citation span2022 - 2024 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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Open DOIOpen Access
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