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

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

Abstract

© 2016 Informa UK Limited, trading as Taylor & Francis Group. 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.

• Journal Article Type: Article
• Acceptance Date: Dec 26, 2015
• Publication Date: Jan 2, 2016
• Deposit Date: Feb 23, 2017
• Publicly Available Date: Mar 23, 2017
• Journal: International Journal of Sustainable Building Technology and Urban Development
• Print ISSN: 2093-761X
• Electronic ISSN: 2093-7628
• Publisher: Taylor & Francis
• Peer Reviewed: Peer Reviewed
• Volume: 7
• Issue: 1
• Pages: 3-21
• DOI: https://doi.org/10.1080/2093761X.2016.1152203
• Keywords: construction waste management tools, building information modelling, evaluation criteria, waste prediction, thematic analysis, waste data, framework
• Public URL: https://uwe-repository.worktribe.com/output/801782
• Publisher URL: http://dx.doi.org/10.1080/2093761X.2016.1152203
• Additional Information: Additional Information : This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Sustainable Building Technology and Urban Development on 22nd April 2015, available online: http://dx.doi.org/10.1080/2093761X.2016.1152203.
• Contract Date: Feb 23, 2017