Working link to your Revit cloud model in Forma Data Management
Working link to your Individual Forma Board
PDF sheet set, 30 by 42 inches (E1 size)
Floor 3 was selected as the representative typical floor plan because Floors 3 and 4 have the same layout, while Floors 5–7 have a smaller but generally similar footprint, core locations, and unit layout. The main differences on Floors 5–7 are that the width of one room is reduced along both edges of the building and some interior unit walls are shifted. Floor 2 is the same as Floor 3, except that a corridor was added near the center to provide access to the rooftop garden.
A screenshot of Forma Data Management showing your two published versions side by side for comparison.
As seen above, there were some changes made between uploads, including changing sheet set to include NW section instead of NW elevation, display settings, and moving a ceiling.
Design memo of 250 to 400 words: what your calculated field computes and what it told you, and what you learned about your own design from having to document it.
My calculated field determines the occupancy in my building using the area of each space and its corresponding occupancy factor. The occupancy factor depends on the type of space, since different areas are expected to accommodate different numbers of people per unit area. For example, I used a factor of 200 for rooms and 300 for stairs. I divided the area of each space by its assigned factor and rounded the result up to the next whole number to determine the occupancy.
Occupancy is important because it affects several aspects of building design, including egress requirements, exit capacity, and life safety. A higher occupancy can require wider exits or additional means of egress, while underestimating occupancy could lead to an unsafe design or code compliance issues. Rounding up helps avoid underestimating the number of people a space may need to accommodate and is a conservative approach.
Creating this calculated field showed me how useful Revit schedules can be beyond simply organizing information already contained in the model. The model provided the room areas and other relevant information, but it did not automatically calculate the occupancy. By combining the area with the appropriate factor, I was able to derive a new value that is important for evaluating the building's design and code compliance. Automating this calculation also makes it easier to update occupancy if room sizes or layouts change. I was surprised to see the total occupancy was only around ~500 given 86k sq ft of space. I didn’t really have an idea of what to expect but I assumed a 7 story building would have more, especially since the ground footprint is so big and for commercial purposes.