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Aggregation error for location models: survey and analysis

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  • R. Francis
  • T. Lowe
  • M. Rayco
  • A. Tamir

Abstract

Location problems occurring in urban or regional settings may involve many tens of thousands of “demand points,” usually individual private residences. In modeling such problems it is common to aggregate demand points to obtain tractable models. We survey aggregation approaches to a large class of location models, consider and compare various aggregation error measures, identify some effective (and ineffective) aggregation error measures, and discuss some open research areas. Copyright Springer Science+Business Media, LLC 2009

Suggested Citation

  • R. Francis & T. Lowe & M. Rayco & A. Tamir, 2009. "Aggregation error for location models: survey and analysis," Annals of Operations Research, Springer, vol. 167(1), pages 171-208, March.
    • Handle: RePEc:spr:annopr:v:167:y:2009:i:1:p:171-208:10.1007/s10479-008-0344-z
    DOI: 10.1007/s10479-008-0344-z
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    15. Irawan, Chandra Ade & Salhi, Said & Scaparra, Maria Paola, 2014. "An adaptive multiphase approach for large unconditional and conditional p-median problems," European Journal of Operational Research, Elsevier, vol. 237(2), pages 590-605.
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    19. Kenneth Carling & Mengjie Han & Johan Håkansson, 2012. "Does Euclidean distance work well when the p-median model is applied in rural areas?," Annals of Operations Research, Springer, vol. 201(1), pages 83-97, December.

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