Area-POS Data: A Novel Method for Commercial Area Management

Yuya Ieiri, Kaishu Yamaki, Sun Yue, Reiko Hishiyama

研究成果: Conference contribution

抄録

Understanding consumers' purchasing behavior is a crucial component of commercial area management. This article proposes Area-POS data for elucidating consumer purchasing behavior in a commercial area. As a method of collecting Area-POS data, we focused on FT (from-to) type community currency, which determines the co-occurrence of stores used by customers (distributor store and destination store). Moreover, this study extended ABC analysis and association analysis, which are POS data analysis methods, to the analysis method of Area-POS data obtained by FT-type community currency. Field experiments were conducted to examine the effectiveness of these methods for collecting and analyzing Area-POS data. The results of these experiments identified stores with high visit frequency in the commercial area and clarified the primary co-occurrence relationships among stores in the area. The findings of this study show the effectiveness and potential of Area-POS data analysis for commercial area management.

本文言語English
ホスト出版物のタイトル2022 13th International Conference on E-Education, E-Business, E-Management, and E-Learning, IC4E 2022
出版社Association for Computing Machinery
ページ579-584
ページ数6
ISBN(電子版)9781450387187
DOI
出版ステータスPublished - 2022 1月 14
イベント13th International Conference on E-Education, E-Business, E-Management, and E-Learning, IC4E 2022 - Virtual, Online, Japan
継続期間: 2022 1月 142022 1月 17

出版物シリーズ

名前ACM International Conference Proceeding Series

Conference

Conference13th International Conference on E-Education, E-Business, E-Management, and E-Learning, IC4E 2022
国/地域Japan
CityVirtual, Online
Period22/1/1422/1/17

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア

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