Optimal dispersion and central places |
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Authors: | Kevin M Curtin Richard L Church |
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Institution: | (1) Geographic Information Sciences, School of Economic, Political and Policy Sciences, University of Texas at Dallas, 2601 N. Floyd Road, Richardson, TX 75080, USA;(2) Department of Geography, University of California, Santa Barbara, CA 93106, USA |
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Abstract: | This paper presents research into optimal dispersion models as applied to central places. The literature regarding location
optimization and central places is reviewed and the motivation for employing dispersion models is identified. Models that
employ the objective of maximal dispersion in the context of central places are formulated and solved in the context of both
single- and multiple-good systems. Two methods for generating multiple-good systems are presented: a multiple-type dispersion
model and a K-value constraint set formulation. Sequential solutions to dispersion models demonstrate how a system of central places could
develop over time. The solutions to these models generate the patterns of central places expected under the organizing principles
of central place theory. The objective of maximal dispersion is posited as both a motivating factor in central place location
decisions, and as the optimal outcome of a mature system of central places.
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Keywords: | Dispersion Central place theory Linear programming Optimization |
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