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contributor authorWooyoung Jung
contributor authorGhang Lee
date accessioned2017-05-08T22:31:24Z
date available2017-05-08T22:31:24Z
date copyrightJuly 2016
date issued2016
identifier other48323550.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/81988
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.
publisherAmerican Society of Civil Engineers
titleSlim BIM Charts for Rapidly Visualizing and Quantifying Levels of BIM Adoption and Implementation
typeJournal Paper
journal volume30
journal issue4
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/(ASCE)CP.1943-5487.0000554
treeJournal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 004
contenttypeFulltext


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