Authors: Seung Hyun Cha
In an increasingly urbanised built environment, each additional square meter of building space gives rise to environmental and economic costs. Economic and environmental sustainability can be achieved with the aid of space utilisation prediction models, which help architects to modify their designs so as to achieve more efficient space utilisation and to enhance end-user satisfaction by distributing well-used space across the buildings. However, current methods of predicting space utilisation have limited accuracy and precision because they ignore or over-simplify the role of building users’ preferences in spatial choice behaviour. This research suggests an approach to develop spatial choice models that measure the relationships between spaces and space preferences by integrating choice modelling theory with immersive virtual environments (IVEs). Spatial choice models will generate space-use probabilities on the basis of building users’ space preferences. These probabilities can easily be adapted for use in current methods of utilisation prediction, so that the overall aim of the approach is to bring about more realistic space utilisation predictions, with greater accuracy and precision.
Keywords: space utilisation; immersive virtual environments; building information modelling; choice modelling