2018 Mini Project

This project aims to fully document and make available the automated back analysis tool developed by Ms Jin to support commercial implementation, as well as investigate barriers to the adoption of data-driven adaptive design in practice through a targeted workshop. It will also provide guidance on future research developments needed to promote data-driven design in practice; promote provisions on adaptive design to be included in standards and guidance documents.

The project aims to understand the extent to which the UK planning system is engaging with BIM at different spatial scales (e.g., individual building, development scheme, city, region). It explores how the planning system could better help deliver BIM, and inform local and national policy settings and actors about the role of urban planning vehicle for BIM.

This project developed The Edge as a case study for CDBB, not only for the sake of information on the building alone, but also to use it as a template to build the “standard case study template.” When we consider other buildings, we can understand them through comparable qualitative and quantitative metrics developed from the most complete example in existence today. Developing the future of the digital built environment will require intensive study of a number of exemplars.

This project investigated the principles of universal design applied to the built environment and specifically with reference to people with impairment. The validity of using VR as a test method was assessed by reviewing the neuroscientific justification and the new field of neuroarchitecture. Finally, examples of how VR is applied to the treatment and understanding of balance disorders were reviewed.

This project improved the foundations for applying tried-and-tested machine learning (ML) approaches to the built environment. This mini project reduced the cost of creating and deploying ML systems by creating versatile and extendable API’s, data management infrastructure and mobile apps. A future version of the API’s might be commercialised in areas like mortgage origination, insurance claim processing or property tax (non-UK, though) estimation.

This research project has used advanced image processing and computer vision techniques to recreate geospatial viewpoints of some historic, 17th century David Loggan line drawings of Cambridge Colleges. Subsequent drone flights then captured current images of the colleges from these same viewpoints.