{"title":"Individual mobility pattern in Malaysia during COVID-19 Recovery Movement Control Order partial lockdown","authors":"Uznir Ujang, Suhaibah Azri","doi":"10.1002/geo2.113","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":44089,"journal":{"name":"Geo-Geography and Environment","volume":"9 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2022-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a2/34/GEO2-9-0.PMC9349786.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geo-Geography and Environment","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/geo2.113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 1
Abstract
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.
期刊介绍：
Geo is a fully open access international journal publishing original articles from across the spectrum of geographical and environmental research. Geo welcomes submissions which make a significant contribution to one or more of the journal’s aims. These are to: • encompass the breadth of geographical, environmental and related research, based on original scholarship in the sciences, social sciences and humanities; • bring new understanding to and enhance communication between geographical research agendas, including human-environment interactions, global North-South relations and academic-policy exchange; • advance spatial research and address the importance of geographical enquiry to the understanding of, and action about, contemporary issues; • foster methodological development, including collaborative forms of knowledge production, interdisciplinary approaches and the innovative use of quantitative and/or qualitative data sets; • publish research articles, review papers, data and digital humanities papers, and commentaries which are of international significance.
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