Two things differentiate us from architects, urban designers, appraisers, engineers, planners and other built environment professionals.
- A multi-disciplinary knowledge base. Our multi-disciplinary approach addresses what solo disciplines miss. Our knowledge base includes design, anthropology, economics, communications, psychology, neurological science, management, and construction.
- An innovative, proprietary, proven, and reliable spatial modeling method that predicts pedestrian behavior.
Shape-network™ modeling decomposes configurations into two common underlying shapes that make up every kind of layout and floor plan and building elevation – straight line intervals and convex space intervals.
These shapes, based on Nobel-winning neurological science, then become nodes in networks that enable calculation of a spatial pattern’s complexity. They provide clear quantitative evidence of conditions and differences in spatial patterns: before-after; simple-complex; functional-dysfunctional; understandable-confusing; total-partial; ours-theirs; standard-substandard.
See: shape-network basics.pdf.
Shape-network™ modeling successfully underwent Daubert review and is described in more detail and applied in two papers that received American Real Estate Society (ARES) manuscript prizes.