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The Accuracy of Small-Area Population Forecasts Based On A Spatial Interaction Land-Use Modeling System

Journal of the American Planning AssociationPublished 31 March 1996
Jeff Tayman
Citations43
SJR quartileQ1
SJR score1.51
SNIP2.46

Abstract

Abstract As a result of the ISTEA and Clean Air Act legislation, more agencies are using or will be required to use spatial interaction land-use models to develop small-area (subcounty) population forecasts. Little is known about the magnitude or characteristics of the error generated from these models or in small-area forecasts in general. This case study adds to our knowledge of error in small-area forecasts by evaluating forecasts of census tract population that are developed from a spatial interaction land-use modeling system. The study also illustrates measures that can examine forecast error more comprehensively.

Keywords

Decision SciencesEconomics, Econometrics and Finance