All Outputs (99)

Big Data with deep learning for benchmarking profitability performance in project tendering (2020)
Journal Article

© 2020 A reliable benchmarking system is crucial for the contractors to evaluate the profitability performance of project tenders. Existing benchmarks are ineffective in the tender evaluation task for three reasons. Firstly, these benchmarks are most... Read More about Big Data with deep learning for benchmarking profitability performance in project tendering.

Drivers and challenges associated with the implementation of big data within UK facilities management sector: An exploratory factor analysis approach (2020)
Journal Article

The recent advances in Internet of Things (IoT), computational analytics, processing power, and assimilation of Big Data (BD) are playing an important role in revolutionizing maintenance and operations regimes within the wider facilities management (... Read More about Drivers and challenges associated with the implementation of big data within UK facilities management sector: An exploratory factor analysis approach.

Guidelines for applied machine learning in construction industry—A case of profit margins estimation (2019)
Journal Article

© 2019 Elsevier Ltd The progress in the field of Machine Learning (ML) has enabled the automation of tasks that were considered impossible to program until recently. These advancements today have incited firms to seek intelligent solutions as part of... Read More about Guidelines for applied machine learning in construction industry—A case of profit margins estimation.

Risk mitigation in PFI/PPP project finance: A framework model for financiers’ bankability criteria (2019)
Journal Article

Purpose: Earlier studies on risk evaluation in private finance initiative and public private partnerships (PFI/PPP) projects have focussed more on quantitative approaches despite increasing call for contextual understanding of the bankability of risk... Read More about Risk mitigation in PFI/PPP project finance: A framework model for financiers’ bankability criteria.

Design for deconstruction using a circular economy approach: Barriers and strategies for improvement (2019)
Journal Article

This study explores the current practices of Design for Deconstruction (DfD) as a strategy for achieving circular economy. Keeping in view the opportunities accruable from DfD, a review of the literature was carried out and six focus group interviews... Read More about Design for deconstruction using a circular economy approach: Barriers and strategies for improvement.

Deep learning models for health and safety risk prediction in power infrastructure projects (2019)
Journal Article

Inappropriate management of Health and safety (H&S) risk in power infrastructure projects can result in occupational accidents and equipment damage. Accidents at work have detrimental effects on workers, company, and the general public. Despite the a... Read More about Deep learning models for health and safety risk prediction in power infrastructure projects.

Big data analytics system for costing power transmission projects (2019)
Journal Article

© 2019 American Society of Civil Engineers. Inaccurate cost estimates have significant impacts on the final cost of power transmission projects and erode profits. Methods for cost estimation have been investigated thoroughly, but they are not used wi... Read More about Big data analytics system for costing power transmission projects.

Critical success factors for ensuring bankable completion risk in PFI/PPP megaprojects (2019)
Journal Article

© 2019 American Society of Civil Engineers. This study investigates project financiers' perspectives on the bankability of completion risk in private finance initiative and public-private partnership (PFI/PPP) megaprojects. Using a mixed methodology... Read More about Critical success factors for ensuring bankable completion risk in PFI/PPP megaprojects.

The role of Internet of Things in delivering smart construction (2019)
Presentation / Conference Contribution

The construction industry is the least digitised sector in the world and it contributes significantly less, in terms of productivity, to the global economy than its average potential. Current trends in the construction industry are aimed at leveragin... Read More about The role of Internet of Things in delivering smart construction.

Complexities of smart city project success: A study of real-life case studies (2019)
Presentation / Conference Contribution

Over the years, the world has moved towards an unprecedented level of urbanisation as half of the world’s total population live in cities. This trajectory of rapid urbanisation has greatly improved the modern economy as well as the standard of living... Read More about Complexities of smart city project success: A study of real-life case studies.

Robotics and automated systems in construction: Understanding industry-specific challenges for adoption (2019)
Journal Article

© 2019 The Authors The construction industry is a major economic sector, but it is plagued with inefficiencies and low productivity. Robotics and automated systems have the potential to address these shortcomings; however, the level of adoption in th... Read More about Robotics and automated systems in construction: Understanding industry-specific challenges for adoption.

Investigating profitability performance of construction projects using big data: A project analytics approach (2019)
Journal Article

© 2019 The Authors The construction industry generates different types of data from the project inception stage to project delivery. This data comes in various forms and formats which surpass the data management, integration and analysis capabilities... Read More about Investigating profitability performance of construction projects using big data: A project analytics approach.

Smart Cities Implementation: Challenges in Nigeria (2019)
Presentation / Conference Contribution

A city is a large human settlement that have extensive systems for housing, transportation, sanitation, utilities, land use, and communication. Their density facilitates interaction between people, government organizations and businesses, sometimes b... Read More about Smart Cities Implementation: Challenges in Nigeria.

Stimulating the attractiveness of PFI/PPPs using public sector guarantees (2019)
Journal Article

Purpose: Although the UK Guarantee Scheme for Infrastructures (UKGSI) was introduced in 2012 to address the huge financing gap for critical infrastructures, PFI sponsors have so far guaranteed only few projects. Many stakeholders in the project finan... Read More about Stimulating the attractiveness of PFI/PPPs using public sector guarantees.

Development of an IoT-based big data platform for day-ahead prediction of building heating and cooling demands (2019)
Journal Article

© 2019 Elsevier Ltd The emerging technologies of the Internet of Things (IoT) and big data can be utilised to derive knowledge and support applications for energy-efficient buildings. Effective prediction of heating and cooling demands is fundamental... Read More about Development of an IoT-based big data platform for day-ahead prediction of building heating and cooling demands.

Integrating construction supply chains within a circular economy: An ANFIS-based waste analytics system (A-WAS) (2019)
Journal Article

© 2019 The circular economy agenda makes it paramount for construction supply chains to reduce material waste. Although a collaborative platform called Building Information Modelling (BIM) offers a means of supply chains integration, it has not been... Read More about Integrating construction supply chains within a circular economy: An ANFIS-based waste analytics system (A-WAS).

Disassembly and deconstruction analytics system (D-DAS) for construction in a circular economy (2019)
Journal Article

© 2019 Despite the relevance of building information modelling for simulating building performance at various life cycle stages, Its use for assessing the end-of-life impacts is not a common practice. Even though the global sustainability and circula... Read More about Disassembly and deconstruction analytics system (D-DAS) for construction in a circular economy.

Changing significance of embodied energy: A comparative study of material specifications and building energy sources (2019)
Journal Article

© 2019 Elsevier Ltd Despite the increasing significance of embodied impacts of buildings, efforts to reduce their environmental footprints have been concentrated on the operational impacts of buildings. This study investigates the changing significan... Read More about Changing significance of embodied energy: A comparative study of material specifications and building energy sources.

Design optimisation using convex programming: Towards waste-efficient building designs (2019)
Journal Article

© 2019 The Authors A non-modular building layout is amongst the leading sources of offcut waste, resulting from a substantial amount of onsite cutting and fitting of bricks, blocks, plasterboard, and tiles. The field of design for dimensional coordin... Read More about Design optimisation using convex programming: Towards waste-efficient building designs.

Offsite construction: Developing a BIM-Based optimizer for assembly (2019)
Journal Article

© 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.