Visual analysis of retailing store location selection

Kelin Li; Yi Na Li; Hong Yin; Yanpeng Hu; Peng Ye; Changbo Wang

doi:10.1145/3356422.3356429

Visual analysis of retailing store location selection

Kelin Li, Yi Na Li, Hong Yin, Yanpeng Hu, Peng Ye, Changbo Wang

School of Data Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450376266
DOIs	https://doi.org/10.1145/3356422.3356429
State	Published - 20 Sep 2019
Event	12th International Symposium on Visual Information Communication and Interaction, VINCI 2019 - Shanghai, China Duration: 20 Sep 2019 → 22 Sep 2019

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	12th International Symposium on Visual Information Communication and Interaction, VINCI 2019
Country/Territory	China
City	Shanghai
Period	20/09/19 → 22/09/19

Keywords

Attractiveness model
Customer flow
Location recommendation
Visual analysis system

Access to Document

10.1145/3356422.3356429

Cite this

Li, K., Li, Y. N., Yin, H., Hu, Y., Ye, P., & Wang, C. (2019). Visual analysis of retailing store location selection. In Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019 Article 3356429 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3356422.3356429

@inproceedings{6e1d840f509844feb290ef4861cbc57d,

title = "Visual analysis of retailing store location selection",

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.",

keywords = "Attractiveness model, Customer flow, Location recommendation, Visual analysis system",

author = "Kelin Li and Li, \{Yi Na\} and Hong Yin and Yanpeng Hu and Peng Ye and Changbo Wang",

note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019 ; Conference date: 20-09-2019 Through 22-09-2019",

year = "2019",

month = sep,

day = "20",

doi = "10.1145/3356422.3356429",

language = "英语",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

booktitle = "Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019",

address = "美国",

}

Li, K, Li, YN, Yin, H, Hu, Y, Ye, P & Wang, C 2019, Visual analysis of retailing store location selection. in Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019., 3356429, ACM International Conference Proceeding Series, Association for Computing Machinery, 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019, Shanghai, China, 20/09/19. https://doi.org/10.1145/3356422.3356429

Visual analysis of retailing store location selection. / Li, Kelin; Li, Yi Na; Yin, Hong et al.
Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019. Association for Computing Machinery, 2019. 3356429 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Visual analysis of retailing store location selection

AU - Li, Kelin

AU - Li, Yi Na

AU - Yin, Hong

AU - Hu, Yanpeng

AU - Ye, Peng

AU - Wang, Changbo

PY - 2019/9/20

Y1 - 2019/9/20

N2 - 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.

AB - 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.

KW - Attractiveness model

KW - Customer flow

KW - Location recommendation

KW - Visual analysis system

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DO - 10.1145/3356422.3356429

M3 - 会议稿件

AN - SCOPUS:85076809769

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019

PB - Association for Computing Machinery

T2 - 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019

Y2 - 20 September 2019 through 22 September 2019

ER -

Visual analysis of retailing store location selection

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Keywords

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