Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79476
Title: Modeling space preferences for accurate occupancy prediction during the design phase
Authors: Cha, SH 
Steemers, K
Kim, TW
Keywords: Building simulation
Occupancy prediction
Occupant behavior
Space utilization
Spatial choice behavior
Issue Date: 2018
Publisher: Elsevier
Source: Automation in construction, 2018, v. 93, p. 135-147 How to cite?
Journal: Automation in construction 
Abstract: 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.
URI: http://hdl.handle.net/10397/79476
ISSN: 0926-5805
EISSN: 1872-7891
DOI: 10.1016/j.autcon.2018.05.001
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

26
Last Week
3
Last month
Citations as of May 21, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.