Slim BIM charts for rapidly visualizing and quantifying levels of BIM adoption and implementation

Wooyoung Jung, Ghang Lee

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Article number04015072
JournalJournal of Computing in Civil Engineering
Volume30
Issue number4
DOIs
Publication statusPublished - 2016 Jul 1

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Computer Science Applications

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