Optimizing locations through a maximum covering/p-median hierarchical model: Maternity hospitals in France

Jérôme Baray () and Gérard Cliquet
Additional contact information
Jérôme Baray: IRG - Institut de Recherche en Gestion - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12
Gérard Cliquet: CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique

Post-Print from HAL

Abstract: This article presents a hierarchical location-allocation model that combines a maximum covering model and p-center models. The objective herein is to adapt the spatial distribution of supply to various levels of demand. The model resolution step relies both on the myopic and Lagrangian relaxation algorithms and on an empirical study to optimize locations of the three levels of maternity hospitals found in France. Results show that 100 major sites cover 80% of the demand. If these models are able to maximize perinatal care accessibility, then they would choose, from among the best locations, the most centralized places for level 2 and 3 maternity hospitals, which correspond to higher premature birth risks and pathological pregnancies.

Keywords: Covering model; hierarchical model; location-allocation model; maternity hospitals; p-median (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (11)

Published in Journal of Business Research, 2013, 66 (1), pp.127-132. ⟨10.1016/j.jbusres.2012.09.003⟩

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:hal:journl:halshs-00768004

DOI: 10.1016/j.jbusres.2012.09.003

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().