Landscape architects and urban planners play an important role in helping create inclusive, accessible communities. To do this, it is helpful to understand how the built environment and access to various amenities and places affect activities of daily community living. These activities can influence social engagement with others and satisfaction with one’s social life. Thus, understanding how the built environment influences their choice of living can shed light on the ramifications to an individual’s overall social satisfaction. As previous studies show, there are various methods for measuring accessibility. But to what extent are these metrics different or provide similar results? In the current study, we generate various geospatial models to measure distance, density, and accessibility. The metrics produced are then compared to identify how similar they are in measuring access to several different places. Results show that all metrics are statistically significant and similar, however, similarities range from poor correlation to very high correlation. The most consistent can then be used in future studies to identify how well they correlate to stated access, actual access, and the influence on social satisfaction.