Capacitated service and regional constraints in location-allocation modeling

Murray, Alan T. and Gerrard, Ross A. (1997) Capacitated service and regional constraints in location-allocation modeling. Location Science, 5 2: 103-118. doi:10.1016/S0966-8349(97)00016-8

Author Murray, Alan T.
Gerrard, Ross A.
Title Capacitated service and regional constraints in location-allocation modeling
Journal name Location Science
ISSN 0966-8349
Publication date 1997-08-01
Sub-type Article (original research)
DOI 10.1016/S0966-8349(97)00016-8
Open Access Status Not yet assessed
Volume 5
Issue 2
Start page 103
End page 118
Total pages 16
Language eng
Subject 3313 Transportation
Abstract Planning for the provision of services is complex. Location-allocation modeling has proven to be a valuable approach in siting service facilities. An important consideration in siting facilities is to ensure an equitable distribution of services. This may be done by requiring the placement of at least one or a few service facilities in certain defined (often political) regions or zones. Although the incorporation of regional requirements does serve to address equity, the location-allocation approach tends to produce siting schemes with highly uneven facility workloads. If the intent of regional constraints is to ensure equity, then facilities with excessive workloads provide relatively poor service and thus do not maintain the intent of the regional placement restrictions. Accordingly it is necesary to account for capacity limitations at facilities in addition to the use of regionally specified siting requirements. This paper introduces the Capacitated Regionally Constrained p-Median Problem, which incorporates regional requirements in a location-allocation framework, in addition to ensuring that maximum capacity limitations are maintained. Example applications are solved using a Lagrangian-based solution approach.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import - Archived
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Citation counts: Scopus Citation Count Cited 23 times in Scopus Article | Citations
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Created: Fri, 22 Dec 2017, 06:14:02 EST