Modeling space preferences for accurate occupancy prediction during the design phase

Cited 1 time in webofscience Cited 0 time in scopus
  • Hit : 21
  • Download : 0
The accurate prediction of occupancy during the design phase of a building helps architects to improve space efficiency by eliminating the possible under-utilization and over-crowding of space during the design use phase. However, existing models exhibit limited accuracy in occupancy prediction. A major reason for this limitation is that spatial-choice behavior is ignored or oversimplified. We therefore developed a space-preference model to explain spatial-choice behavior, with a particular focus on individual work-related activities. For this purpose, we conducted a discrete-choice experiment: 2048 observations of spatial choices were collected, and a conditional logit model was used to model space preferences. The application of the space-preference model was illustrated by two case examples, with which the merits of the model were highlighted. It was then validated in a predictive success test and a case study. The model will help architects to assess potential over-crowding and under-utilization of space according to different design options.
Publisher
ELSEVIER
Issue Date
2018-09
Language
English
Article Type
Article
Citation

AUTOMATION IN CONSTRUCTION, v.93, pp.135 - 147

ISSN
0926-5805
DOI
10.1016/j.autcon.2018.05.001
URI
http://hdl.handle.net/10203/287591
Appears in Collection
GCT-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 1 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0