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.