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Visual analysis of retailing store location selection

  • Kirlin Li
  • , Yi Na Li
  • , Hong Yin*
  • , Yanpeng Hu
  • , Peng Ye
  • , Changbo Wang
  • *Corresponding author for this work
  • East China Normal University
  • University of Technology Sydney
  • Ltd
  • ChengShu Information Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Abstract: An appropriate location of the retailing store is vital for achieving business success. However, a massive amount of complex information needs to be considered in location selection, such as customer flow, the business environment, and current business performance. Unlike the traditional location recommendation method of statistical sampling, we establish a model of business-district attractiveness based on customer flow. Besides, we build an interactive visual analysis system with a user-friendly interface for an interactive visual query about complex business and environment information. Our system can help users select retailing store locations, support interactive visual queries and display rich information to facilitate managers in decision-making. Graphical abstract: [Figure not available: see fulltext.].

Original languageEnglish
Pages (from-to)1071-1086
Number of pages16
JournalJournal of Visualization
Volume23
Issue number6
DOIs
StatePublished - 1 Dec 2020

Keywords

  • Attractiveness model
  • Customer flow
  • Location recommendation
  • Visual analysis system

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