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dc.contributor.authorWooyoung Jung
dc.contributor.authorGhang Lee
dc.date.accessioned2017-05-08T22:31:24Z
dc.date.available2017-05-08T22:31:24Z
dc.date.copyrightJuly 2016
dc.date.issued2016
dc.identifier.other48323550.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/81988
dc.description.abstractThis paper proposes a simple numerical chart comprising the smallest possible number of variables to rapidly represent levels of building information modeling (BIM) adoption and implementation. The slim BIM chart employs the most widely used variables: BIM adoption rate, years of using BIM, level of proficiency, and depth of implementation. We developed three types of slim BIM charts: diamond, triangle, and ball charts, which use four, three, and two variables, respectively. We applied these slim BIM charts to three regions, namely, North America, South Korea, and Western Europe. BIM had been most widely adopted and implemented in North America in 2012 but most deeply in Western Europe in 2010. In 2012, South Korea had widely adopted BIM, but implementation had been shallow. The test cases showed that the slim BIM charts can provide BIM managers and researchers with a means to visually and quantitatively compare the different levels of BIM adoption and implementation in different regions and for different periods.
dc.publisherAmerican Society of Civil Engineers
dc.titleSlim BIM Charts for Rapidly Visualizing and Quantifying Levels of BIM Adoption and Implementation
dc.typeJournal Paper
dc.journal.volume30
dc.journal.issue4
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/(ASCE)CP.1943-5487.0000554
dc.treeJournal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 004
dc.contenttypeFulltext


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