We developed a model that relates spatial and household variables to auto ownership, auto use, and transit use. This paper focuses on the multi-dimensional regression analysis used to relate the independent spatial variables (household density, block size, access to transit and employment, among others) and independent household variables (income, size, workers per household) to the three dependent variables (auto ownership, auto use, transit use).