Development and Evaluation of a Residential Allocation Model Using Time Series Tax Parcel Data in GIS
Racca, David P.
Center for Applied Demography & Survey Research
Study of travel demand often involves considerations of the effects of specific new development scenarios and therefore a methodology to regenerate and visualize expected effects of various development assumptions is needed. This project demonstrates a procedure to alter land use assumptions and examine expected land use distributions that result. The number of housing units needed at any future time, and the pace of development is constrained to the DPC projections. Predicting the spatial allocation/distribution of development at the tax parcel level within the Planning District is the focus of this research. Rather than having a static projection of where development will occur, a methodology was developed to predict new distributions based on suggested growth scenarios.
Population projections , Traffic zone level , Tax parcel based allocation model