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All Outputs (101)

Offsite construction: Developing a BIM-Based optimizer for assembly (2019)
Journal Article
Gbadamosi, A. Q., Mahamadu, A. M., Oyedele, L. O., Akinade, O. O., Manu, P., Mahdjoubi, L., & Aigbavboa, C. (2019). Offsite construction: Developing a BIM-Based optimizer for assembly. Journal of Cleaner Production, 215, 1180-1190. https://doi.org/10.1016/j.jclepro.2019.01.113

© 2019 Elsevier Ltd The lack of adequate consideration of the underlying factors affecting the methods of building assembly often results in inefficiencies in the uses of building materials, equipment and manpower. These inefficiencies are further co... Read More about Offsite construction: Developing a BIM-Based optimizer for assembly.

Dynamic relationship between embodied and operational impacts of buildings: An evaluation of sustainable design appraisal tools (2019)
Journal Article
Ajayi, S. O., Oyedele, L. O., & Dauda, J. A. (2019). Dynamic relationship between embodied and operational impacts of buildings: An evaluation of sustainable design appraisal tools. World Journal of Science, Technology and Sustainable Development, 16(2), 70-81. https://doi.org/10.1108/WJSTSD-05-2018-0048

Purpose – Buildings and their construction activities consume a significant proportion of mineral resources excavated from nature and contribute a large percentage of CO2 in the atmosphere. As a way of improving the sustainability of building constru... Read More about Dynamic relationship between embodied and operational impacts of buildings: An evaluation of sustainable design appraisal tools.

Optimisation of resource management in construction projects: A big data approach (2019)
Journal Article
Kusimo, H., Oyedele, L., Akinade, O., Oyedele, A., Abioye, S., Agboola, A., & Mohammed-Yakub, N. (2019). Optimisation of resource management in construction projects: A big data approach. World Journal of Science, Technology and Sustainable Development, 16(2), 82-93. https://doi.org/10.1108/WJSTSD-05-2018-0044

Purpose – The purpose of this paper is to identify challenges faced in resource management in the UK construction industry and to propose some solutions to these problems. Design/methodology/approach – Based on a qualitative research methodology, 14... Read More about Optimisation of resource management in construction projects: A big data approach.

An income-reflective scalable energy level transition system for low/middle income households (2018)
Journal Article
Monyei, C. G., Oyedele, L. O., Akinade, O. O., Ajayi, A. O., Ezugwu, A. E., Akpeji, K. O., …Onunwor, J. C. (2019). An income-reflective scalable energy level transition system for low/middle income households. Sustainable Cities and Society, 45, 172-186. https://doi.org/10.1016/j.scs.2018.10.042

© 2018 Elsevier Ltd In mitigating against energy poverty in Nigeria, research interest has focused mainly on electricity access and reduced electricity bills for low/medium income households. However, energy poverty in the global south is not only a... Read More about An income-reflective scalable energy level transition system for low/middle income households.

Predicting completion risk in PPP projects using big data analytics (2018)
Journal Article
Owolabi, H., Bilal, M., Oyedele, L., Alaka, H. A., Ajayi, S. O., & Akinade, O. (2020). Predicting completion risk in PPP projects using big data analytics. IEEE Transactions on Engineering Management, 67(2), 430-453. https://doi.org/10.1109/TEM.2018.2876321

Accurate prediction of potential delays in public private partnerships (PPP) projects could provide valuable information relevant for planning and mitigating completion risk in future PPP projects. However, existing techniques for evaluating completi... Read More about Predicting completion risk in PPP projects using big data analytics.

Big data platform for health and safety accident prediction (2018)
Journal Article
Ajayi, A., Oyedele, L., Davila Delgado, J. M., Akanbi, L., Bilal, M., Akinade, O., & Olawale, O. (2019). Big data platform for health and safety accident prediction. World Journal of Science, Technology and Sustainable Development, 16(1), 2-21. https://doi.org/10.1108/WJSTSD-05-2018-0042

Purpose – The purpose of this paper is to highlight the use of the big data technologies for health and safety risks analytics in the power infrastructure domain with large data sets of health and safety risks, which are usually sparse and noisy. Des... Read More about Big data platform for health and safety accident prediction.

Reusability analytics tool for end-of-life assessment of building materials in a circular economy (2018)
Journal Article
Akanbi, L., Oyedele, L., Davila Delgado, J. M., Bilal, M., Akinade, O., Ajayi, A., & Mohammed-Yakub, N. (2019). Reusability analytics tool for end-of-life assessment of building materials in a circular economy. World Journal of Science, Technology and Sustainable Development, 16(1), 40-55. https://doi.org/10.1108/WJSTSD-05-2018-0041

Purpose – In a circular economy, the goal is to keep materials values in the economy for as long as possible. For the construction industry to support the goal of the circular economy, there is the need for materials reuse. However, there is little o... Read More about Reusability analytics tool for end-of-life assessment of building materials in a circular economy.

Public private partnerships (PPP) in the developing world: Mitigating financiers’ risks (2018)
Journal Article
Owolabi, H. A., Oyedele, L., Alaka, H., Ebohon, O. J., Ajayi, S., Akinade, O., …Olawale, O. (2019). Public private partnerships (PPP) in the developing world: Mitigating financiers’ risks. World Journal of Science, Technology and Sustainable Development, 16(3), 121-141. https://doi.org/10.1108/WJSTSD-05-2018-0043

Purpose – A major challenge for foreign lenders in financing public private partnerships (PPP) infrastructure projects in an emerging market (EM) is the bankability of country-related risks. Despite existing studies on country risks in international... Read More about Public private partnerships (PPP) in the developing world: Mitigating financiers’ risks.

A Big Data analytics approach for construction firms failure prediction models (2018)
Journal Article
Alaka, H., Oyedele, L., Owolabi, H., Akinade, O., Bilal, M., & Ajayi, S. (2019). A Big Data analytics approach for construction firms failure prediction models. IEEE Transactions on Engineering Management, 66(4), 689-698. https://doi.org/10.1109/TEM.2018.2856376

Using 693,000 datacells from 33,000 sample construction firms that operated or failed between 2008 and 2017, failure prediction models were developed using artificial neural network (ANN), support vector machine (SVM), multiple discriminant analysis... Read More about A Big Data analytics approach for construction firms failure prediction models.

Critical design factors for minimising waste in construction projects: A structural equation modelling approach (2018)
Journal Article
Ajayi, S. O., & Oyedele, L. O. (2018). Critical design factors for minimising waste in construction projects: A structural equation modelling approach. Resources, Conservation and Recycling, 137, 302-313. https://doi.org/10.1016/j.resconrec.2018.06.005

© 2018 Notwithstanding that efforts made at the design stage of building construction projects have significant impacts on project outcome, most waste management efforts are usually focused on construction stage. This is albeit the understanding that... Read More about Critical design factors for minimising waste in construction projects: A structural equation modelling approach.

Designing out construction waste using BIM technology: Stakeholders’ expectations for industry deployment (2018)
Journal Article
Akinade, O., Oyedele, L., Ajayi, S., Bilal, M., Alaka, H. A., Owolabi, H., & Arawomo, O. (2018). Designing out construction waste using BIM technology: Stakeholders’ expectations for industry deployment. Journal of Cleaner Production, 180, 375-385. https://doi.org/10.1016/j.jclepro.2018.01.022

© 2018 The Authors The need to use Building Information Modelling (BIM) for Construction and Demolition Waste (CDW) minimisation is well documented but most of the existing CDW management tools still lack BIM functionality. This study therefore asses... Read More about Designing out construction waste using BIM technology: Stakeholders’ expectations for industry deployment.

A framework for big data analytics approach to failure prediction of construction firms (2018)
Journal Article
Alaka, H. A., Oyedele, L. O., Owolabi, H. A., Bilal, M., Ajayi, S. O., & Akinade, O. O. (2020). A framework for big data analytics approach to failure prediction of construction firms. Applied Computing and Informatics, 16(1/2), 207-222. https://doi.org/10.1016/j.aci.2018.04.003

This study explored use of big data analytics (BDA) to analyse data of a large number of construction firms to develop a construction business failure prediction model (CB-FPM). Careful analysis of literature revealed financial ratios as the best for... Read More about A framework for big data analytics approach to failure prediction of construction firms.

Waste-efficient materials procurement for construction projects: A structural equation modelling of critical success factors (2018)
Journal Article
Ajayi, S., & Oyedele, L. (2018). Waste-efficient materials procurement for construction projects: A structural equation modelling of critical success factors. Waste Management, 75, 60-69. https://doi.org/10.1016/j.wasman.2018.01.025

© 2018 Albeit the understanding that construction waste is caused by activities ranging from all stages of project delivery process, research efforts have been concentrated on design and construction stages, while the possibility of reducing waste th... Read More about Waste-efficient materials procurement for construction projects: A structural equation modelling of critical success factors.

Salvaging building materials in a circular economy: A BIM-based whole-life performance estimator (2017)
Journal Article
Akanbi, L. A., Oyedele, L., Akinade, O., Ajayi, A. O., Davila Delgado, M., Bilal, M., & Bello, S. A. (2018). Salvaging building materials in a circular economy: A BIM-based whole-life performance estimator. Resources, Conservation and Recycling, 129, 175-186. https://doi.org/10.1016/j.resconrec.2017.10.026

© 2017 The Author(s) The aim of this study is to develop a BIM-based Whole-life Performance Estimator (BWPE) for appraising the salvage performance of structural components of buildings right from the design stage. A review of the extant literature w... Read More about Salvaging building materials in a circular economy: A BIM-based whole-life performance estimator.

Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)
Journal Article
Alaka, H. A., Oyedele, L., Owolabi, H. A., Kumar, V., Ajayi, S. O., Akinade, O., & Bilal, M. (2018). Systematic review of bankruptcy prediction models: Towards a framework for tool selection. Expert Systems with Applications, 94, 164-184. https://doi.org/10.1016/j.eswa.2017.10.040

© 2017 Elsevier Ltd The bankruptcy prediction research domain continues to evolve with many new different predictive models developed using various tools. Yet many of the tools are used with the wrong data conditions or for the wrong situation. Using... Read More about Systematic review of bankruptcy prediction models: Towards a framework for tool selection.

Energy security and responses to climate change in Nigeria (2017)
Presentation / Conference
Olawale, O. A., Owolabi, H. A., Oyedele, L., Owolabi, A., & Akinade, O. (2017, May). Energy security and responses to climate change in Nigeria. Paper presented at Environmental Design and Management International Conference, Obafemi Awolowo University, Ile-Ife, Osun state, Nigeria

This study examined energy security and the impact of climate change in Nigeria including the diverse policy and institutional strategies so far adopted by Nigerian government to mitigate its impact on the populace and environs. Using a content-drive... Read More about Energy security and responses to climate change in Nigeria.

The application of web of data technologies in building materials information modelling for construction waste analytics (2017)
Journal Article
Bilal, M., Oyedele, L. O., Munir, K., Ajayi, S. O., Akinade, O. O., Owolabi, H. A., & Alaka, H. A. (2017). The application of web of data technologies in building materials information modelling for construction waste analytics. Sustainable Materials and Technologies, 11, 28-37. https://doi.org/10.1016/j.susmat.2016.12.004

© 2017 Elsevier B.V. Predicting and designing out construction waste in real time is complex during building waste analysis (BWA) since it involves a large number of analyses for investigating multiple waste-efficient design strategies. These analyse... Read More about The application of web of data technologies in building materials information modelling for construction waste analytics.

Policy imperatives for diverting construction waste from landfill: Experts’ recommendations for UK policy expansion (2017)
Journal Article
Oyedele, L. O., & Ajayi, S. O. (2017). Policy imperatives for diverting construction waste from landfill: Experts’ recommendations for UK policy expansion. Journal of Cleaner Production, 147, 57-65. https://doi.org/10.1016/j.jclepro.2017.01.075

© 2017 Elsevier Ltd Legislation and fiscal policies have remained the key drivers of construction waste minimization. It has often been suggested that reducing waste to the landfill does not only require improvement on existing waste management polic... Read More about Policy imperatives for diverting construction waste from landfill: Experts’ recommendations for UK policy expansion.

Attributes of design for construction waste minimization: A case study of waste-to-energy project (2017)
Journal Article
Ajayi, S. O., Oyedele, L. O., Akinade, O. O., Bilal, M., Alaka, H. A., Owolabi, H. A., & Kadiri, K. O. (2017). Attributes of design for construction waste minimization: A case study of waste-to-energy project. Renewable and Sustainable Energy Reviews, 73, 1333-1341. https://doi.org/10.1016/j.rser.2017.01.084

© 2017 Elsevier Ltd Despite the consensus that waste efficient design is important for reducing waste generated by construction and demolition activities, design strategies for actual waste mitigation remain unclear. In addition, decisive roles requi... Read More about Attributes of design for construction waste minimization: A case study of waste-to-energy project.

BIM-based deconstruction tool: Towards essential functionalities (2017)
Journal Article
Akinade, O. O., Oyedele, L. O., Omoteso, K., Ajayi, S. O., Bilal, M., Owolabi, H. A., …Looney, J. H. (2017). BIM-based deconstruction tool: Towards essential functionalities. International Journal for Sustainable Built Environment, 6(1), 260-271. https://doi.org/10.1016/j.ijsbe.2017.01.002

© 2017 The Gulf Organisation for Research and Development This study discusses the future directions of effective Design for Deconstruction (DfD) using BIM-based approach to design coordination. After a review of extant literatures on existing DfD pr... Read More about BIM-based deconstruction tool: Towards essential functionalities.