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Individual mobility pattern in Malaysia during Covid‐19 Recovery Movement Control Order partial lockdown

Bibliographic Data

ID13017766
AuthorsUznir Ujang (0000-0001-5281-8478, University of Technology Malaysia, corresponding author), Suhaibah Azri (0000-0001-7926-9608, University of Technology Malaysia)
Year2022
Volume9
Issue1
Pagese00113-e00113
Publication date2022-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueGeo Geography and Environment (JOURNAL)
Journal identifiersISSN: 2054-4049 • E-ISSN: 2054-4049
PublisherWiley (PUBLISHER • GB)
DOI10.1002/geo2.113
PMID35942310
OpenAlexW4285197786
LanguageEN
Citations received1
References cited24

Malaysia Recovery Movement Control Order (RMCO) aims to bring the business, education, tourism and other industry sectors back into operation. Due to movement constraints that result in local economic patterns, individual mobility patterns are expected to occur. However, this matter needs further investigation from people's spatial behaviour during the RMCO. Therefore, this research proposed a new technique for analysing people's spatial behaviour patterns via geo-tagged data. The data from social media users are gathered using data mining techniques. Geographical Information System (GIS) is used to show the geolocation of social media users and analyse their spatial behaviour. The finding of this analysis shows higher people's movement recorded when the RMCO was enforced; a distinctive pattern where spatial trajectory length is high but spatial area coverage is low. It is noticed that the focal points are concentrated in urban areas and tourism attractions

Business · Cartography · Common spatial pattern · Control (management · Coronavirus disease 2019 (COVID-19 · Geographic information system · Geography · Geolocation · Movement (music · Movement control · Order (exchange · Remote sensing · Social media · Spatial analysis · Tourism · Trajectory · World Wide Web · Computer Science · Human Mobility and Location-Based Analysis · Impact of Light on Environment and Health · Urban Transport and Accessibility · Artificial Intelligence · Ecology

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Unique citing works1
Citations per year0.25
Citation span2022 - 2022 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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