Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/87553
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.contributorResearch Institute for Sustainable Urban Development-
dc.creatorYun, SBen_US
dc.creatorKim, Sen_US
dc.creatorJu, Sen_US
dc.creatorNoh, Jen_US
dc.creatorKim, Cen_US
dc.creatorWong, MSen_US
dc.creatorHeo, Jen_US
dc.date.accessioned2020-07-16T03:58:17Z-
dc.date.available2020-07-16T03:58:17Z-
dc.identifier.urihttp://hdl.handle.net/10397/87553-
dc.language.isoenen_US
dc.publisherPublic Library of Scienceen_US
dc.rights© 2020 Yun et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.rightsThe following publication Yun SB, Kim S, Ju S, Noh J, Kim C, Wong MS, et al. (2020) Analysis of accessibility to emergency rooms by dynamic population from mobile phone data: Geography of social inequity in South Korea. PLoS ONE 15(4): e0231079, is available at https://doi.org/10.1371/journal.pone.0231079en_US
dc.titleAnalysis of accessibility to emergency rooms by dynamic population from mobile phone data : geography of social inequity in South Koreaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume15en_US
dc.identifier.issue4en_US
dc.identifier.doi10.1371/journal.pone.0231079en_US
dcterms.abstractAccessibility of emergency medical care is one of the crucial factors in evaluating national primary medical care systems. While many studies have focused on this issue, there was a fundamental limit to the measurement of accessibility of emergency rooms, because the commonly used census-based population data are difficult to provide realistic information in terms of time and space. In this study, we evaluated the geographical accessibility of emergency rooms in South Korea by using dynamic population counts from mobile phone data. Such population counts were more accurate and up-to-date because they are obtained by aggregating the number of mobile phone users in a 50-by-50 m grid of a locational field, weighted by stay time. Considering both supply and demand of emergency rooms, the 2- step floating catchment analysis was implemented. As a result, urban areas, including the capital city Seoul, showed lower accessibility to emergency rooms, whereas rural areas recorded higher accessibility. This result was contrary to the results analyzed by us based on census-based population data: Higher accessibility in urban areas and lower in rural. This implies that using solely census data for accessibility analysis could lead to certain errors, and adopting mobile-based population data would represent the real-world situations for solving problems of social inequity in primary medical care.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPLoS one, 2020, v. 15, no. 4, e0231079en_US
dcterms.isPartOfPLoS oneen_US
dcterms.issued2020-
dc.identifier.isiWOS:000535967600028-
dc.identifier.scopus2-s2.0-85083227644-
dc.identifier.pmid32267862-
dc.identifier.eissn1932-6203en_US
dc.identifier.artne0231079en_US
dc.description.validate202007 bcma-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
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