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Modeling Strategies For The Spatial Search Problem

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  • Harvey J. Miller

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.

Suggested Citation

  • Harvey J. Miller, 1993. "Modeling Strategies For The Spatial Search Problem," Papers in Regional Science, Wiley Blackwell, vol. 72(1), pages 63-85, January.
    • Handle: RePEc:bla:presci:v:72:y:1993:i:1:p:63-85
    DOI: 10.1111/j.1435-5597.1993.tb01863.x
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    Cited by:

    1. Yamamoto, Toshiyuki & Li, Cheng & Morikawa, Takayuki, 2014. "An empirical analysis of the factors raising the interest in new shopping destinations," Journal of Retailing and Consumer Services, Elsevier, vol. 21(6), pages 950-957.
    2. Abhirup Chakrabarti & Will Mitchell, 2013. "The Persistent Effect of Geographic Distance in Acquisition Target Selection," Organization Science, INFORMS, vol. 24(6), pages 1805-1826, December.

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