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View all- Li KLi YYin HHu YYe PWang C(2020)Visual analysis of retailing store location selectionJournal of Visualization10.1007/s12650-020-00681-823:6(1071-1086)Online publication date: 1-Dec-2020
Visual Analysis of Retailing Store Location Selection
Authors: 
Kelin Li, Yi-Na Li, Hong Yin, Yanpeng Hu, Peng Ye, Changbo WangAuthors Info & Claims
Article No.: 15, Pages 1 - 8
Abstract
An appropriate location of the retailing store is vital for achieving business success. However, a huge amount of complex information needs to be considered in location selection, such as customer flow, the business environment, and current business performance. Unlike traditional location recommendation method on account of statistical sampling, we establish a model of business-district attractiveness based on customer flow and provide a method of data-driven visual comparisons. In addition, 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 location, support interactive visual queries, and display rich information to facilitate manager in decision-making.
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Published In
September 2019
201 pages
ISBN:9781450376266
DOI:10.1145/3356422
Copyright © 2019 ACM.
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- East China Normal University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 20 September 2019
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VINCI'2019
VINCI'2019: The 12th International Symposium on Visual Information Communication and Interaction
September 20 - 22, 2019
Shanghai, China
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Overall Acceptance Rate 71 of 193 submissions, 37%
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Cited By
View all- Li KLi YYin HHu YYe PWang C(2020)Visual analysis of retailing store location selectionJournal of Visualization10.1007/s12650-020-00681-823:6(1071-1086)Online publication date: 1-Dec-2020
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