An urban land-use plan-design model is cast as a multiple-criterion optimization problem and is solved by using a generalized interactive technique. Three different objectives are selected for use in a representative formulation: (1) the minimization of land-development costs, (2) the maximization of residential accessibility, and (3) the minimization of energy consumption in transportation. It is found that interactive multiple-objective programming represents an efficient way of generating compromise land-use plans which provide satisfactory levels for the various objectives. The approach is illustrated for a hypothetical planning problem for Germantown, Wisconsin, USA.
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Gerald M. Barber (1976) studied this question.
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