Weight variations within a set of demand points, and location - allocation issues: a case study of public libraries
AbstractThe purpose in this paper is to explore the consequences of weight variations in a given set of demand points on the following p -median results: the average and maximum distance between demand and supply, the geographical pattern of supply points, and the amount allocated to every supply site. By using a real-world case study (intraurban location of public libraries), two different estimations of demand associated with the same set of demand and potential supply sites are compared. Results show only small differences in the p -median outputs in spite of rather large discrepancies in the distributions of demand weights This invites further and systematic research about the robustness of p -median results with respect to variations in the geographical distribution of demand.
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Bibliographic InfoArticle provided by Pion Ltd, London in its journal Environment and Planning A.
Volume (Year): 24 (1992)
Issue (Month): 12 (December)
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Web page: http://www.pion.co.uk
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- CHEVALIER, Philippe & THOMAS, Isabelle & GERAETS, David & GOETGHEBEUR, Els, .
"Locating fire stations: an integrated approach for Belgium,"
CORE Discussion Papers RP, UniversitÃ© catholique de Louvain, Center for Operations Research and Econometrics (CORE)
-2390, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Chevalier, Philippe & Thomas, Isabelle & Geraets, David & Goetghebeur, Els & Janssens, Olivier & Peeters, Dominique & Plastria, Frank, 2012. "Locating fire stations: An integrated approach for Belgium," Socio-Economic Planning Sciences, Elsevier, Elsevier, vol. 46(2), pages 173-182.
- CHEVALIER, Philippe & THOMAS, Isabelle & GERAETS, David & GOETGHEBEUR, Els, 2010. "Locating fire-stations: an integrated approach for Belgium," CORE Discussion Papers, UniversitÃ© catholique de Louvain, Center for Operations Research and Econometrics (CORE) 2010008, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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