The P-median problem in a changing network: The case of Barcelona
AbstractIn this paper a p--median--like model is formulated to address the issue of locating new facilities when there is uncertainty. Several possible future scenarios with respect to demand and/or the travel times/distance parameters are presented. The planner will want a strategy of positioning that will do as ``well as possible'' over the future scenarios. This paper presents a discrete location model formulation to address this P--Median problem under uncertainty. The model is applied to the location of fire stations in Barcelona.
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Bibliographic InfoPaper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 180.
Date of creation: Jul 1996
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Web page: http://www.econ.upf.edu/
Discrete facility location; scenarios; emergency services location;
Find related papers by JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
- R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock
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- D Serra & S Ratick & C ReVelle, 1996.
"The maximum capture problem with uncertainty,"
Environment and Planning B: Planning and Design,
Pion Ltd, London, vol. 23(1), pages 49-59, January.
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- Vladimir Marianov & Daniel Serra, 2009. "Median problems in networks," Economics Working Papers 1151, Department of Economics and Business, Universitat Pompeu Fabra.
- Daniel Serra & Rosa Colomé, 2000. "Supermarket key attributes and location decisions: A comparative study between British and Spanish consumers," Economics Working Papers 469, Department of Economics and Business, Universitat Pompeu Fabra.
- Rosa Colomé & Helena Ramalhinho-Lourenço & Daniel Serra, 2003. "A new chance-constrained maximum capture location problem," Economics Working Papers 661, Department of Economics and Business, Universitat Pompeu Fabra.
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