Abstract
Models that represent the polycentric and dispersed nature of modern cities should be able to account for the rise and fall of subcenters. Based on a review of the programming models applied to urban analysis, five properties are suggested that an adequate model should include. It should: 1 confront the simultaneity between markets for land and transportation services; 2 accommodate the reality of cities as places where externalities and common properties abound; 3 emulate the intertemporal albeit bounded nature of planning and decisionmaking; 4 fully exploit principles of economic theory; and, 5 offer computability. We develop a discrete programming model with these five properties, comparing its capabilities with those of previous approaches.
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