Dezembro 2019 vol. 7 num. 1 - 37 Education and Research in Computer Aided Architectural Design in Europe and XXIII Iberoamerican Society of Digital Graphics, Joint Conference (N. 1)
Article - Open Access.
Spatiotemporal Occupancy for Building Analytics
Spatiotemporal Occupancy for Building Analytics
Gomez-Zamora, Paula ; Bafna, Sonit ; Zimring, Craig ; Do, Ellen ; Vega, Mario Romero ;
Article:
Numerous studies on Space Syntax and Evidence-based Design exploredoccupancy and movements in the built environment using traditional methods forbehavior mapping, such as observation and surveys. This approach, however, hasmajorly focused on studying such behaviors as aggregated results -totals oraverages- to corroborate the idea that people's interactions are outcomes of theinfluence of space. The research presented in this paper focuses on capturinghuman occupancy with a high spatiotemporal data resolution of 1 sq.ft persecond (0.1 sq.mt./s). This research adapts computer vision to obtain largeoccupancy datasets in a hospitalization setting for one week, providingopportunities to explore correlations among spatial configurations, architecturalprograms, organizational activities planned and unplanned, and time. The visionis to develop new analytics for building occupancy dynamics, with the purpose ofendorsing the integration of a temporal dimension into architectural research.This study introduces the ``Isovist-minute''; a metric that captures the relationshipbetween space and occupancy, towards a point of interest, in a dynamic sequence.
Article:
Numerous studies on Space Syntax and Evidence-based Design exploredoccupancy and movements in the built environment using traditional methods forbehavior mapping, such as observation and surveys. This approach, however, hasmajorly focused on studying such behaviors as aggregated results -totals oraverages- to corroborate the idea that people's interactions are outcomes of theinfluence of space. The research presented in this paper focuses on capturinghuman occupancy with a high spatiotemporal data resolution of 1 sq.ft persecond (0.1 sq.mt./s). This research adapts computer vision to obtain largeoccupancy datasets in a hospitalization setting for one week, providingopportunities to explore correlations among spatial configurations, architecturalprograms, organizational activities planned and unplanned, and time. The visionis to develop new analytics for building occupancy dynamics, with the purpose ofendorsing the integration of a temporal dimension into architectural research.This study introduces the ``Isovist-minute''; a metric that captures the relationshipbetween space and occupancy, towards a point of interest, in a dynamic sequence.
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DOI: 10.5151/proceedings-ecaadesigradi2019_153
Referências bibliográficas
- [1] .
Como citar:
Gomez-Zamora, Paula; Bafna, Sonit; Zimring, Craig; Do, Ellen; Vega, Mario Romero; "Spatiotemporal Occupancy for Building Analytics", p. 111-120 . In: Proceedings of 37 eCAADe and XXIII SIGraDi Joint Conference, “Architecture in the Age of the 4Th Industrial Revolution”, Porto 2019, Sousa, José Pedro; Henriques, Gonçalo Castro; Xavier, João Pedro (eds.).
São Paulo: Blucher,
2019.
ISSN 2318-6968,
DOI 10.5151/proceedings-ecaadesigradi2019_153
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