Future Research

screenshot_2020-06-30_at_21.21.47.png Project background The Housing Digital Built Britain Network focused its attention on residential housing. It brought together academics, practitioners, policy makers and government to facilitate dialogue and determine the key areas of inquiry. Working with these partners, it outlined...

screenshot_2020-06-30_at_21.46.07.png Project background This project aimed to create a toolkit for capturing occupant satisfaction with their environment in buildings in order to feed the next generation of smart buildings with a more holistic set of metrics for comfort and enjoyment of a space. The toolkit consists of a...

vision.png Project background This research network contributes to developing the research agenda, enhancing the level of performance and digitisation for future smart cities and smart construction at citizen, portfolio, organisation and project levels. The objective of the Vision Network is to delineate the current...

visualising.png Project background Building on four years of material generated by the Cambridge Forum for Sustainability and Environment, this report examines the future use of big data in the built environment. Experts from academia, government and private companies were invited to join monthly discussions in the Forum...

screenshot_2020-07-01_at_15.16.53.png Project background 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...

crowdsourcing.png Project background This project aims to understand how check-in data from social media is distributed around Cambridge and what kinds of spatial segmentation can be identified. It validated the social media data on urban segregation using observation and questionnaires. We conducted pilots at Cambridge in...

urban_planning_and_bim.png Project background The project aimed 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...

adaptive_design.png Project background This project aimed to fully document and make available the automated back analysis tool developed to support commercial implementation, as well as investigate barriers to the adoption of data-driven adaptive design in practice through a targeted workshop. It provides guidance on...

machine_learning.png Project background 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 Application programming interfaces (APIs), data...

bim_in_uk_housing.png Project background This project aims to define the barriers and opportunities for adopting BIM in the UK housing sector, and to highlight the potential benefits of BIM to this sector. Outcomes The study shows that the potential benefits from the adoption of BIM have been recognised within the industry...