Abstract
In the first part of this two-part series of papers we presented an analytical method for evaluating the optimal reorganization of Greater Tokyo. The method relied on a nonlinear dynamic programming model, which incorporated an essential theoretical framework concerning the insights both of decentrists and of large-city theorists. The model was reviewed by focusing on aspects such as complex intraurban commodity flows, the compound urban renewal, and a nonlinear dynamic accelerating system of scale and agglomeration economies. An iterative solution algorithm was presented for the nonlinear formulation.
In the second part a pilot model of three zones and three periods is specified to testify to the adaptability of SEPMOGT (Socio-Economic Planning Model of Greater Tokyo), especially focusing on the effectiveness of the iterative solution algorithm. Some simulation results are summarized on: (a) convergence of the iterative linear programming solution in terms of the output — capital ratio and objective function value; (b) agglomeration and reorganization of industries; (c) housing-stock formation and compound urban renewal; (d) commuting trip pattern; (e) car traffic and road transportation infrastructure; and (f) aggregate fundamental macroeconomic flow variables, taking account of the variance in the social discount rate and the types of the scale and agglomeration economies. Studies on systems of cities in the new urban economics are briefly surveyed and properties of our model will be reviewed in the light of development in the model of these systems of cities.
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