Evaluation criteria for construction waste management tools: Towards a holistic BIM framework

Olugbenga O. Akinade, Lukumon O. Oyedele, Kamran Munir, Muhammad Bilal, Saheed O. Ajayi, Hakeem A. Owolabi, Hafiz A. Alaka, Sururah A. Bello

Research output: Contribution to journalArticle

17 Citations (Scopus)
156 Downloads (Pure)

Abstract

This study identifies evaluation criteria with the goal of appraising the performance of existing construction waste management tools and employing the results in the development of a holistic building information modelling (BIM) framework for construction waste management. Based on the literature, this paper identifies 32 construction waste management tools in five categories: (a) waste management plan templates and guides, (b) waste data collection and audit tools (c) waste quantification models, (d) waste prediction tools, and (e) geographic information system (GIS)-enabled waste tools. After reviewing these tools and conducting four focus-group interviews (FGIs), the findings revealed six categories of evaluation criteria (a) waste prediction; (b) waste data; (c) commercial and procurement; (d) BIM; (e) design; and (f) technological. The performance of the tools is assessed using the evaluation criteria and the result reveals that the existing tools are not robust enough to tackle construction waste management at the design stage. The paper therefore discusses the development of a holistic BIM framework with six layers: application; service domain; BIM business domain; presentation; data; and infrastructure. The BIM framework provides a holistic approach and organizes relevant knowledge required to tackle construction waste effectively at the design stage using an architecture-based layered approach. This framework will be of interest to software developers and BIM practitioners who seek to extend the functionalities of existing BIM software for construction waste management.

Original languageEnglish
Pages (from-to)3-21
Number of pages19
JournalInternational Journal of Sustainable Building Technology and Urban Development
Volume7
Issue number1
DOIs
Publication statusPublished - 2 Jan 2016
Externally publishedYes

Bibliographical note

This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Sustainable Building Technology and Urban Development on 23rd March 2016, available online: http://www.tandfonline.com/10.1080/2093761X.2016.1152203

Keywords

  • building information modelling
  • Construction waste management tools
  • evaluation criteria
  • framework
  • thematic analysis
  • waste data
  • waste prediction

ASJC Scopus subject areas

  • Building and Construction

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