Aggregation in Location

Richard L. Francis () and Timothy J. Lowe ()
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Richard L. Francis: University of Florida, Industrial and Systems Engineering Department
Timothy J. Lowe: Tippie College of Business, University of Iowa, Management Science Department

Chapter Chapter 18 in Location Science, 2019, pp 537-556 from Springer

Abstract: Abstract Location problems occurring in urban or regional settings may involve many tens of thousands of “demand points,” usually individual residences. In modeling such problems it is common to aggregate demand points to obtain tractable models. We discuss aggregation approaches to a large class of location models, consider various aggregation error measures, and identify some effective measures. In particular, we focus on an upper bounding methodology for the error associated with aggregation. The chapter includes an example application.

Keywords: Aggregation; Demand points; Location (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-32177-2_18

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DOI: 10.1007/978-3-030-32177-2_18

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