Slim BIM Charts for Rapidly Visualizing and Quantifying Levels of BIM Adoption and ImplementationSource: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 004DOI: 10.1061/(ASCE)CP.1943-5487.0000554Publisher: American Society of Civil Engineers
Abstract: This 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.
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contributor author | Wooyoung Jung | |
contributor author | Ghang Lee | |
date accessioned | 2017-05-08T22:31:24Z | |
date available | 2017-05-08T22:31:24Z | |
date copyright | July 2016 | |
date issued | 2016 | |
identifier other | 48323550.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/81988 | |
description abstract | This 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. | |
publisher | American Society of Civil Engineers | |
title | Slim BIM Charts for Rapidly Visualizing and Quantifying Levels of BIM Adoption and Implementation | |
type | Journal Paper | |
journal volume | 30 | |
journal issue | 4 | |
journal title | Journal of Computing in Civil Engineering | |
identifier doi | 10.1061/(ASCE)CP.1943-5487.0000554 | |
tree | Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 004 | |
contenttype | Fulltext |