North, Steve; (2003) Clients’ 3D visualisation of construction performance: from s-curves to data surfaces. Doctoral thesis (Ph.D), UCL (University College London).

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Abstract

Problem definition: Construction clients are currently without adequate software tools for simplifying the complexity of project performance. Can 3D Information Visualisation provide construction clients with informative performance reports? Contributions to knowledge: A conceptual 3D framework for the interpretation of construction performance parameters A practical example of implementing the 3D framework A protocol for prototyping and evaluating the developed software Construction project management traditionally uses two dimensional visualisation techniques to analyse project performance. These techniques are usually graphically represented as an s-curve, so called because of the characteristic plot shape (generated by resource take-up in many projects). S-curves are often limited by the amount of information that can be simultaneously displayed. It is proposed that a more comprehensive performance measurement system might represent project progress as a three-dimensional data surface. This research considers the use of desk-top Virtual Reality as an alternative to traditional project performance measurement systems. A conceptual three-dimensional framework for the representation of nonphysical construction industry data is outlined. This framework led to the development of Procession, a three-dimensional Information Visualisation software tool. Procession uses a three-dimensional data surface as an abstract representation of the described framework. The target group for Procession was social housing project clients, or Registered Social Landlords (RSLs). In the UK, the catchall term RSL describes Housing Associations, Housing Cooperatives and Local Housing Companies. Field experiments were undertaken to compare the information quality and usability of Procession, with progress reporting methods currently used in the construction industry. The most important finding was that RSL clients were better able to assess project status with the developed software, than with traditional reporting methods. Secondly, there was found to be a correlation between users satisfaction with the software, and the technical complexity of the method currently providing them with project progress reports. Finally, this research proposes some possible directions for future work.

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