Demand Point Aggregation for Some Basic Location Models

Richard L. Francis () and Timothy J. Lowe ()
Additional contact information
Richard L. Francis: University of Florida
Timothy J. Lowe: Tippie College of Business, University of Iowa

Chapter Chapter 18 in Location Science, 2015, pp 487-506 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: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-13111-5_18

Ordering information: This item can be ordered from
http://www.springer.com/9783319131115

DOI: 10.1007/978-3-319-13111-5_18

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().