MODELING STRATEGIES FOR THE SPATIAL SEARCH PROBLEM

Harvey J. Miller

Papers in Regional Science, 1993, vol. 72, issue 1, 63-85

Abstract: ABSTRACT Spatial search is a highly complex decision problem, hi this paper, modeling approaches are developed which alleviate some of the difficulties encountered in analyzing spatial search. A search modeling framework is outlined which states the problem in a sufficiently detailed yet manageable format. Within the framework, an operational model is developed which generates the probability that a feasible search pattern will result in the lowest realized acquisition cost. Solution strategies for the model include Monte Carlo simulation and a pruning rule which can reduce the dimensionality of the problem. Computational experience with the Monte Carlo procedure and the pruning rule is also provided.

Date: 1993
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https://doi.org/10.1111/j.1435-5597.1993.tb01863.x

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Persistent link: https://EconPapers.repec.org/RePEc:bla:presci:v:72:y:1993:i:1:p:63-85

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