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dc.contributor.authorRaknes, Guttormen_US
dc.contributor.authorHunskaar, Steinaren_US
dc.date.accessioned2014-12-03T15:06:45Z
dc.date.available2014-12-03T15:06:45Z
dc.date.issued2014-02-14eng
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/1956/8825
dc.description.abstractWe describe a method that uses crowdsourced postcode coordinates and Google maps to estimate average distance and travel time for inhabitants of a municipality to a casualty clinic in Norway. The new method was compared with methods based on population centroids, median distance and town hall location, and we used it to examine how distance affects the utilisation of out-of-hours primary care services. At short distances our method showed good correlation with mean travel time and distance. The utilisation of out-of-hours services correlated with postcode based distances similar to previous research. The results show that our method is a reliable and useful tool for estimating average travel distances and travel times.en_US
dc.language.isoengeng
dc.publisherPLoSeng
dc.relation.ispartof<a href="http://hdl.handle.net/1956/10373" target="blank">Reisetid, reiseavstand og bruk av legevakt</a>
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/eng
dc.titleMethod Paper – Distance and Travel Time to Casualty Clinics in Norway Based on Crowdsourced Postcode Coordinates: A Comparison with Other Methodsen_US
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2014 Raknes, Hunskaar
dc.source.articlenumbere89287
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0089287
dc.identifier.cristin1150482
dc.source.journalPLoS ONE
dc.source.409
dc.source.142


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