Abstract
Accurate space-use prediction helps architects to optimize space efficiency in buildings, thereby achieving economic and environmental sustainability. However, current space-use prediction models and approaches either disregard or oversimplify the role of building users’ space preferences in spatial-choice behaviour, thereby compromising prediction accuracy. The aim of this study was thus to develop a space-preference model of spatial-choice behaviour with a focus on group work-related activities. A total of 2464 observations of spatial choices were collected using a discrete-choice experiment. The data were modelled using a conditional logit model and then validated in a predictive success test. The resulting model clearly explains space preferences for group work-related activities and predicts spatial-choice behaviour by generating space-use probabilities for given spaces. The model is compared to a space-preference model for individual work-related activities. Lastly, the application of the model was demonstrated in a case example.
| Original language | English |
|---|---|
| Pages (from-to) | 460-471 |
| Number of pages | 12 |
| Journal | Architectural Science Review |
| Volume | 60 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2 Nov 2017 |
Keywords
- design decision support
- discrete-choice modelling
- higher education buildings
- occupancy prediction
- occupant behaviour
- Spatial-choice behaviour
ASJC Scopus subject areas
- Architecture