English, Article, Journal or magazine article edition: Consumer Choice in Competitive Location Models: Formulations and Heuristics Daniel Serra; Rosa Colomé

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Bookmark: http://trove.nla.gov.au/version/154690
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • Consumer Choice in Competitive Location Models: Formulations and Heuristics
Author
  • Daniel Serra
  • Rosa Colomé
Physical Description
  • preprint
Notes
  • A new direction of research in Competitive Location theory incorporates theories of Consumer Choice Behavior in its models. Following this direction, this paper studies the importance of consumer behavior with respect to distance or transportation costs in the optimality of locations obtained by traditional Competitive Location models. To do this, it considers different ways of defining a key parameter in the basic Maximum Capture model (MAXCAP). This parameter will reflect various ways of taking into account distance based on several Consumer Choice Behavior theories. The optimal locations and the deviation in demand captured when the optimal locations of the other models are used instead of the true ones, are computed for each model. A metaheuristic based on GRASP and Tabu search procedure is presented to solve all the models. Computational experience and an application to 55-node network are also presented.
  • Distance, competitive location models, consumer choice behavior, GRASP, tabu
  • RePEc:upf:upfgen:290
Language
  • English
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