Simulated alternative patterns of future land-use change at a fine cellular resolution can be a valuable tool in assisting urban decision making in a region. When coupled with top-down regional economic demand modeling techniques, these disaggregate, spatially-explicit models of urban transformation can help planners and policymakers understand how different public policy and investment choices will play out in the future, especially in conjunction with different economic and demographic trends. In this paper, we seek to advance inquiry into connecting economic, land-use and travel-demand simulation models through a qualitative assessment of the change in land-use and travel demand outcomes as a result of loosely coupling a macroeconomic model (CREIM), a fine scale regional dynamic spatial land use model (LEAM), and a zone based travel demand model (CMAP TDM) in the Chicago metro region. We then compare land use and travel demand simulations with and without coupling so as to isolate the effects of the coupling process. We conclude with discussions on the implications of these results on location variables for various land use types, and its potential implications for planning.