Title:
Spatiotemporal occupancy in building settings

dc.contributor.advisor Bafna, Sonit
dc.contributor.advisor Do, Ellen Yi-Luen
dc.contributor.author Gomez Zamora, Paula Andrea
dc.contributor.committeeMember Romero, Mario
dc.contributor.committeeMember Zimring, Craig
dc.contributor.committeeMember Haymaker, John
dc.contributor.department Architecture
dc.date.accessioned 2018-08-20T15:28:43Z
dc.date.available 2018-08-20T15:28:43Z
dc.date.created 2017-08
dc.date.issued 2017-05-30
dc.date.submitted August 2017
dc.date.updated 2018-08-20T15:28:43Z
dc.description.abstract This thesis presents an investigation of methods to capture and analyze spatiotemporal occupancy patterns of high resolution, demonstrating their value by measuring behavioral outcomes over time. Obtaining fine-grain occupancy patterns is particularly useful since it gives researchers an ability to study such patterns not just with respect to the geometry of the space in which they occur, but also to study how they change dynamically in time, in response to the behavior itself. This research has three parts: The first is a review of the traditional methods of behavioral mapping utilized in architecture research, as well as the existing indoor positioning systems, offering an assessment of their comparative potential, and a selection for the current scenario. The second is an implementation of scene analysis analyses using computer vision to capture occupancy patterns on one week of surveillance videos over twelve corridors in a hospital in Chile. The data outcome is occupancy in a set of hospital corridors at a resolution of one square foot per second. Due to the practical detection errors, a two-part statistical model was developed to compute the accuracy on recognition and precision of location, given certain scenario conditions. These error rates models can be then used to predict estimates of patterns of occupancy in an actual scenario. The third is a proof-of-concept study of the usefulness of a new spatiotemporal metric called the Isovist-minute, which describes the actual occupancy of an Isovist, over a specified period of time. Occupancy data obtained using scene-analyses, updated with error-rate models of the previous study, are used to compute Isovist-minute values per square feet. The Isovist-minute is shown to capture significant differences in the patient surveillance outcome in the same spatial layout, but different organizational schedule and program.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/60139
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Spatiotemporal occupancy
dc.subject Occupancy analyses
dc.subject Building analyses
dc.subject Positioning information
dc.subject Building settings
dc.subject Isovist
dc.subject Isovist-minute
dc.title Spatiotemporal occupancy in building settings
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Bafna, Sonit
local.contributor.corporatename College of Design
local.contributor.corporatename School of Architecture
local.relation.ispartofseries Doctor of Philosophy with a Major in Architecture
relation.isAdvisorOfPublication 65ffb023-eda3-4370-a906-807965c8796b
relation.isOrgUnitOfPublication c997b6a0-7e87-4a6f-b6fc-932d776ba8d0
relation.isOrgUnitOfPublication 0533a423-c95b-41cf-8e27-2faee06278ad
relation.isSeriesOfPublication 1e9dd6c5-039f-4195-b3b6-bc27d2df5b9f
thesis.degree.level Doctoral
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