A behavioral simulation model for metropolitan policy analysis and planning: residential location and housing market components of UrbanSim

The growing demand for better coordination of metropolitan land use and transportation planning has led to the need for new analytical tools to examine the potential impacts of land-use and transportation policies and investments. In this paper I report on the residential and market-clearing components of the recently developed UrbanSim land-use model, which is currently being implemented in Hawaii, Oregon, and Utah. The model is based on parcel-level land-use data and simulates the interaction between demand and supply of real estate by using a dynamic behavioral approach that operates on an annual time schedule. The model system is now operational, and in this paper the design and calibration results for the Eugene-Springfield, Oregon metropolitan area are described. DOI:10.1068/b2627

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