ARC GRID was used to model future land use patterns for the update of the City's comprehensive plan. Four land use types--residential, retail, commercial services, and industrial--were modeled. Logistic regression was used to correlate existing land use with factors having a significant influence on land use development. The resulting coefficients were applied to grid cells representing vacant land, yielding four probability surfaces. Cells were then allocated until specific targets, determined by market analysis, had been met. A "base case" scenario for the year 2020 and a set of alternative scenarios, reflecting potential changes in the development environment, were generated.