BUILDING LINEAR PREDICTIVE MODELS FOR URBAN PLANNING

Colenutt R.J. (1968) Building linear predictive models for urban planning, Reg. Studies 2, 139–143. Because linear models are being used more often for predictive purposes in planning, it is essential that the underlying assumptions and limitations of these models are understood. A model can contain two basic types of error; measurement and specification error. These errors can accumulate as models are merged into larger model systems so that accurate prediction becomes increasingly difficult. Model evaluation is a further important aspect of model building and should include estimation of the sensitivity and stability of parameters. Despite their limitations the models are useful if designed and interpreted carefully. © 1968, Taylor & Francis Group, LLC. All Rights Reserved.