CBDM 25

To serve as an interactive tool for:

  1. Designing and customizing a basic rectangular volume (multi-floor).
  2. Visualizing the building mass (stacked floors) in 3D.
  3. Comparing location-specific data (cost, temperature, precipitation, etc.) to inform early-stage feasibility or conceptual design decisions.

By combining geometry generation with country/city metadata, the user can rapidly assess cost and climate conditions alongside the shape and size of a proposed structure.

  1. Geometry Parameters
    • Length (horizontal dimension)
    • Width (horizontal dimension)
    • Height (total vertical extent)
    • Floor Height (used to calculate how many floors/segments)
    • Number of Volumes (repetitions in X-direction)
  2. Location Selection
    • City Name (pulls economic data like construction cost and climate details from a built-in dictionary)
  3. (Optional)
    • Bounding Box Preview (a translucent shadow to visualize the total building or each repeated volume)
  1. 3D Parametric Model
    • Rectangular volumes (stacked floors), repeated horizontally if desired.
  2. Bounding/Shadow Geometry
    • A visual “outline” showing full building height or per-volume bounding boxes.
  3. Key Calculations
    • Total Surface Area (envelope of the stacked volumes).
    • Floor Area (footprint × number of floors × number of volumes).
    • Approximate Construction Cost (floor area × city-specific construction cost).
  4. Location-Specific Data
    • Country
    • Population Growth Rate
    • GDP / GDP per Capita
    • Temperature, Humidity, Precipitation
    • Sunshine Hours, Prevailing Winds
  • Floor Count
    Derived from total height ÷ floor height.
  • Construction Cost
    Tied to city selection from an internal dictionary. Cost Per Meter (US$)
  • Climate Info
    City-based average temperature, humidity, and wind patterns, Predominant Sun/Wind Direction, Sun Hours.
  • Building Mass
    Stacked volume geometry for conceptual massing studies.
  • Economic Data
    Country GDP, Population Growth Rate (%/yr)

Special Support Thank you! for Faculty: David Andres Leon, Justyna Szychowska and Faculty Assistant Sophie Moore

GitHub Repository: https://github.com/iaac-macad/bimsc25-datamgmt-final-project.git