University of Hertfordshire

From the same journal

By the same authors

  • Muhammad Bilal
  • Lukumon O. Oyedele
  • Junaid Qadir
  • Kamran Munir
  • Olugbenga O. Akinade
  • Saheed O. Ajayi
  • Hafiz A. Alaka
  • Hakeem A. Owolabi
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Original languageEnglish
Pages (from-to)211-228
Number of pages18
JournalInternational Journal of Sustainable Building Technology and Urban Development
Early online date21 Jan 2016
Publication statusE-pub ahead of print - 21 Jan 2016


The overall aim of this study is to investigate the potential of Building Information Modelling (BIM) for construction waste minimization. We evaluated the leading BIM design software products and concluded that none of them currently support construction waste minimization. This motivates the development of a plug-in for predicting and minimizing construction waste. After a rigorous literature review and conducting four focused group interviews (FGIs), 12 imperative BIM factors were identified that should be considered for predicting and designing out construction waste. These factors were categorized into four layers, namely the BIM core features layer, the BIM auxiliary features layer, the waste management criteria layer, and the application layer. Further, a process to carry out BIM-enabled building waste analysis (BWA) is proposed. We have also investigated the usage of big data technologies in the context of waste minimization. We highlight that big data technologies are inherently suitable for BIM due to their support of storing and processing large datasets. In particular, the use of graph-based representation, analysis, and visualization can be employed for advancing the state of the art in BIM technology for construction waste minimization.

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