Site planners face the significant challenge of how to best allocate and fit various pieces of development coverage within the “puzzle frame” of a given site. For single-level buildings supported by surface parking, site coverage calculations are simple and straightforward. For higher-density development supported by multilevel parking garages, however, there are many interrelated variables that influence possible site coverage scenarios. This “puzzle” exercise is not trivial. Early site coverage allocations set the project framework for all financial projections, physical development form, and initiate months of detailed design and eventual construction undertaken at great cost. Without preliminary site coverage planning, unnecessary time can be spent preparing financial projections and computer-aided design/ building information modeling (CAD/BIM) studies that do not fully integrate multiple parking variables that significantly affect building massing, floor area ratio (FAR), and open space targets. The purpose of this research is to present and apply algebraic equations specifically derived to fit various combinations of automatically generated building and parking “footprints” within a fixed area to meet FAR and open space targets. Programmed into an electronic spreadsheet, these equations will directly benefit site planners by saving time in early project programming, guiding design iterations through BIM/geographic information system (GIS), and improving development scenario forecasting. Beside the prospect of achieving FAR targets, deliberate efforts to preserve open space at the outset of project planning is a means to elevate aesthetics, encourage urban “greening,” and capture Leadership in Energy and Environmental Design (LEED) points (USGBC 2011). Future application of these equations in a parametric modeling environment—whether through BIM, GIS, or Landscape Information Modeling (LIM), could extend water, energy, and cost-benefit forecasting. In this way, as site planners manipulate site coverage polygons and architectural masses, they could receive immediate feedback concerning FAR values, energy and water budgets, aesthetics, and financial data (to be explored and reported in future research). This paper will first present background information related to site coverage calculation approaches and multiple variables to be considered. Considerable discussion will be devoted to parking, since it is an important variable affecting site coverage calculations. Next, the site coverage equations will be presented and applied to four development scenarios. Several interesting building-toparking relationships will be graphed and analyzed to form conclusions. Last, the paper will discuss where this research is headed for future application. Four Primary Variables