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Schematic Transit Network Design using Minimum Spanning Tree Algorithm

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dc.contributor.author김익기-
dc.date.accessioned2021-06-22T12:02:20Z-
dc.date.available2021-06-22T12:02:20Z-
dc.date.created2021-02-18-
dc.date.issued2018-04-
dc.identifier.issn18811124-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/6319-
dc.description.abstractThis study is focused on exploring the public transportation routes. Exploration of the alternative routes of the public transportation needs a simultaneous reflection of the locational connectivity, demand for the public transportation, operating costs of the public transportation routes, etc. This study proposes an exploration methodology of the alternative routes of the public transportation using the minimum spanning tree algorithm. Prim’s Algorithm was used to form the minimum spanning tree. Also, this study shows, as an example, that the explored alternative routes of the public transportation can change depending on the focus of the policy direction of the public transportation from the supply and demand perspective.-
dc.publisherEastern Asia Society for Transportation Studies-
dc.titleSchematic Transit Network Design using Minimum Spanning Tree Algorithm-
dc.typeArticle-
dc.contributor.affiliatedAuthor김익기-
dc.identifier.doi10.11175/easts.12.1299-
dc.identifier.bibliographicCitationJournal of the Eastern Asia Society for Transportation Studies, v.12, pp.1299 - 1310-
dc.relation.isPartOfJournal of the Eastern Asia Society for Transportation Studies-
dc.citation.titleJournal of the Eastern Asia Society for Transportation Studies-
dc.citation.volume12-
dc.citation.startPage1299-
dc.citation.endPage1310-
dc.type.rimsART-
dc.description.journalClass3-
dc.subject.keywordAuthorBus Rapid Transit-
dc.subject.keywordAuthorDecision Making-
dc.subject.keywordAuthorMinimum Spanning Tree-
dc.subject.keywordAuthorPrim&apos-
dc.subject.keywordAuthors Algorithm-
dc.subject.keywordAuthorGreedy Method-
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