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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.

Authors

Saheed O. Ajayi

Olugbenga Akinade Olugbenga.Akinade@uwe.ac.uk
Associate Professor - AR/VR Development with Artificial Intelligence

Lukumon Oyedele L.Oyedele@uwe.ac.uk
Professor in Enterprise & Project Management

Muhammad Bilal Muhammad.Bilal@uwe.ac.uk
Associate Professor - Big Data Application

Hakeem Owolabi Hakeem.Owolabi@uwe.ac.uk
Associate Professor - Project Analytics and Digital Enterprise

Hafiz A. Alaka

Sururah A. Bello



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