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Project: Construction Sector Performance Measurement Frameworks This research involved a review of the sector-level performance assessment frameworks of the UK construction sector. The specific objectives of this report are to determine: a) what performance measures should be reported, and b) how data are/should be collected. To achieve this, the research team conducted a detailed review of the existing performance measurement frameworks and a small number of interviews. This work is part of a research project conducted in collaboration with BRANZ, an independent research organisation in New Zealand, which aims to draw on international and cross-sectoral learnings to inform development of an effective construction sector performance measurement framework.
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Sponsor: Laing O'Rourke Centre for Construction Engineering and Technology Partners: BRANZ Laing O’Rourke Centre involvement: Research Associate Eirini Konstantinou, Academic Supervisor Prof. Cam Middleton Dates: December 2019 - August 2020 Online material for further information:
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Browse the many Construction Engineering Master's dissertations on
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Past projects
PhD Project: Computer Vision based Productivity MeasurementThis research focused on computer vision, image processing and machine learning methods for automating the monitoring of construction workers labour productivity. In particular, she developed a vision-based tracking method that localises workers across the jobsite using multiple cameras and a semantic-based method that converts the trajectories of workers into productive and unproductive labour time. |
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Researcher: Dr Eirini Konstantinou Supervisor: Dr Ioannis Brilakis Funding: EPSRC (EPSRC industrial CASE project), Laing O’Rourke Dates: October 2013 – November 2017 Online material for further information:
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