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  • 标题:A Shop Location Optimization with Traffic Generators and Lines based on Prediction of Residents' Movement
  • 本地全文:下载
  • 作者:Takeshi Uno ; Hideki Katagiri ; Kosuke Kato
  • 期刊名称:Lecture Notes in Engineering and Computer Science
  • 印刷版ISSN:2078-0958
  • 电子版ISSN:2078-0966
  • 出版年度:2019
  • 卷号:2239
  • 页码:491-494
  • 出版社:Newswood and International Association of Engineers
  • 摘要:This article considers a new shop location model with both traffic generators and lines of residents. In traditional location models, a shop locater almost regards such sites that many residents exist, called traffic generators, or their neighborhood as good locations. However, because such sites are also good for other locaters, locating on them needs many costs and then often results badly for all of them. This article focuses not only residents’ sites but their movement, that is, traffic lines. This article proposes a method for prediction of their movement from traffic generators. By representing traffic generators and lines as points and lines on a plain respectively, the proposed location model can be formulated to a location optimization problem in spatial model. Its solution method based upon reduction and decomposition is proposed, and an efficiency of the method is shown by applying it to an example of the location problem.
  • 关键词:shop; location optimization; traffic lines; spatial; model; Brent method.
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