All Outputs (48)

Competency-based measures for designing out construction waste: Task and contextual attributes (2016)
Journal Article
Ajayi, S. O., Oyedele, L. O., Kadiri, K. O., Akinade, O. O., Bilal, M., Owolabi, H. A., & Alaka, H. A. (2016). Competency-based measures for designing out construction waste: Task and contextual attributes. Engineering, Construction and Architectural Management, 23(4), 464-490. https://doi.org/10.1108/ECAM-06-2015-0095

© Emerald Group Publishing Limited. Purpose - Competency-based measure is increasingly evident as an effective approach to tailoring training and development for organisational change and development. With design stage widely reckoned as being decisi... Read More about Competency-based measures for designing out construction waste: Task and contextual attributes.

Critical factors for insolvency prediction: Towards a theoretical model for the construction industry (2016)
Journal Article
Alaka, H. A., Oyedele, L. O., Owolabi, H. A., Oyedele, A. A., Akinade, O. O., Bilal, M., & Ajayi, S. O. (2017). Critical factors for insolvency prediction: Towards a theoretical model for the construction industry. International Journal of Construction Management, 17(1), 25-49. https://doi.org/10.1080/15623599.2016.1166546

© 2016 Informa UK Limited, trading as Taylor & Francis Group. Many construction industry insolvency prediction model (CI-IPM) studies have arbitrarily employed or simply adopted from previous studies different insolvency factors, without justificat... Read More about Critical factors for insolvency prediction: Towards a theoretical model for the construction industry.

Big data architecture for construction waste analytics (CWA): A conceptual framework (2016)
Journal Article
Bilal, M., Oyedele, L. O., Akinade, O. O., Ajayi, S. O., Alaka, H. A., Owolabi, H. A., …Bello, S. A. (2016). Big data architecture for construction waste analytics (CWA): A conceptual framework. Journal of Building Engineering, 6, 144-156. https://doi.org/10.1016/j.jobe.2016.03.002

© 2016 Elsevier Ltd. All rights reserved. In recent times, construction industry is enduring pressure to take drastic steps to minimise waste. Waste intelligence advocates retrospective measures to manage waste after it is produced. Existing waste in... Read More about Big data architecture for construction waste analytics (CWA): A conceptual framework.

Reducing waste to landfill: A need for cultural change in the UK construction industry (2016)
Journal Article
Kadiri, K. O., Alaka, H. A., Ajayi, S. O., Oyedele, L., Akinade, O., Bilal, M., & Owolabi, H. (2016). Reducing waste to landfill: A need for cultural change in the UK construction industry. Journal of Building Engineering, 5, 185-193. https://doi.org/10.1016/j.jobe.2015.12.007

© 2015 Elsevier Ltd. All rights reserved. Owing to its contribution of largest portion of landfill wastes and consumption of about half of mineral resources excavated from nature, construction industry has been pressed to improve its sustainability.... Read More about Reducing waste to landfill: A need for cultural change in the UK construction industry.

Evaluation criteria for construction waste management tools: Towards a holistic BIM framework (2016)
Journal Article
Ajayi, S. O., Akinade, O., Oyedele, L., Munir, K., Bilal, M., Owolabi, H. A., …Bello, S. A. (2016). Evaluation criteria for construction waste management tools: Towards a holistic BIM framework. International Journal of Sustainable Building Technology and Urban Development, 7(1), 3-21. https://doi.org/10.1080/2093761X.2016.1152203

© 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 ho... Read More about Evaluation criteria for construction waste management tools: Towards a holistic BIM framework.

Waste minimisation through deconstruction: A BIM based Deconstructability Assessment Score (BIM-DAS) (2015)
Journal Article
Akinade, O. O., Oyedele, L. O., Bilal, M., Ajayi, S. O., Owolabi, H. A., Alaka, H. A., & Bello, S. A. (2015). Waste minimisation through deconstruction: A BIM based Deconstructability Assessment Score (BIM-DAS). Resources, Conservation and Recycling, 105(Part A), 167-176. https://doi.org/10.1016/j.resconrec.2015.10.018

© 2015 Elsevier B.V. The overall aim of this study is to develop a Building Information Modelling based Deconstructability Assessment Score (BIM-DAS) for determining the extent to which a building could be deconstructed right from the design stage. T... Read More about Waste minimisation through deconstruction: A BIM based Deconstructability Assessment Score (BIM-DAS).

Analysis of critical features and evaluation of BIM software: towards a plug-in for construction waste minimization using big data (2015)
Journal Article
Bilal, M., Oyedele, L. O., Qadir, J., Munir, K., Akinade, O. O., Ajayi, S. O., …Owolabi, H. A. (2015). Analysis of critical features and evaluation of BIM software: towards a plug-in for construction waste minimization using big data. International Journal of Sustainable Building Technology and Urban Development, 6(4), 211-228. https://doi.org/10.1080/2093761X.2015.1116415

© 2016 Taylor & Francis. 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 the... Read More about Analysis of critical features and evaluation of BIM software: towards a plug-in for construction waste minimization using big data.

Waste effectiveness of the construction industry: Understanding the impediments and requisites for improvements (2015)
Journal Article
Ajayi, S. O., Oyedele, L. O., Bilal, M., Akinade, O. O., Alaka, H. A., Owolabi, H., & Kadiri, K. O. (2015). Waste effectiveness of the construction industry: Understanding the impediments and requisites for improvements. Resources, Conservation and Recycling, 102, 101-112. https://doi.org/10.1016/j.resconrec.2015.06.001

© 2015 Elsevier B.V. All rights reserved. Construction industry contributes a large portion of waste to landfill, which in turns results in environmental pollution and CO2 emission. Despite the adoption of several waste management strategies, waste r... Read More about Waste effectiveness of the construction industry: Understanding the impediments and requisites for improvements.