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. 

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:

• Report available shortly

PhD Project: Computer Vision based Productivity Measurement

This 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.

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:

• Impact Case Study: Vision-based construction worker task productivity monitoring