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Incorporating Waiting Time in Competitive Location Models

  • Francisco Silva

    ()

  • Daniel Serra

    ()

In this paper we propose a metaheuristic to solve a new version of the Maximum Capture Problem. In the original MCP, market capture is obtained by lower traveling distances or lower traveling time, in this new version not only the traveling time but also the waiting time will affect the market share. This problem is hard to solve using standard optimization techniques. Metaheuristics are shown to offer accurate results within acceptable computing times. Copyright Springer Science+Business Media, LLC 2007

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File URL: http://hdl.handle.net/10.1007/s11067-006-9006-3
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Article provided by Springer in its journal Networks and Spatial Economics.

Volume (Year): 7 (2007)
Issue (Month): 1 (March)
Pages: 63-76

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Handle: RePEc:kap:netspa:v:7:y:2007:i:1:p:63-76
Contact details of provider: Web page: http://www.springerlink.com/link.asp?id=106607

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  1. Rosing, K. E. & ReVelle, C. S., 1997. "Heuristic concentration: Two stage solution construction," European Journal of Operational Research, Elsevier, vol. 97(1), pages 75-86, February.
  2. D Serra & H A Eiselt & G Laporte & C S ReVelle, 1999. "Market capture models under various customer-choice rules," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 26(5), pages 741-750, September.
  3. Hakimi, S. Louis, 1983. "On locating new facilities in a competitive environment," European Journal of Operational Research, Elsevier, vol. 12(1), pages 29-35, January.
  4. Daniel Serra & Charles Revelle, 1994. "Competitive location in discrete space," Economics Working Papers 96, Department of Economics and Business, Universitat Pompeu Fabra.
  5. Daniel Serra & Charles Revelle & Ken Rosing, 1999. "Surviving in a competitive spatial market: The threshold capture model," Economics Working Papers 359, Department of Economics and Business, Universitat Pompeu Fabra.
  6. Plastria, Frank, 2001. "Static competitive facility location: An overview of optimisation approaches," European Journal of Operational Research, Elsevier, vol. 129(3), pages 461-470, March.
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