TY - GEN
T1 - Area-POS Data
T2 - 13th International Conference on E-Education, E-Business, E-Management, and E-Learning, IC4E 2022
AU - Ieiri, Yuya
AU - Yamaki, Kaishu
AU - Yue, Sun
AU - Hishiyama, Reiko
N1 - Funding Information:
This research was supported by a Grant-in-Aid for JSPS Research Fellow (19J22365) and a Grant-in-Aid for Scientific Research (18H03825). This experiment was carried out as part of the Shopping District Assistance Project by Shinjuku Ward.
Publisher Copyright:
© 2022 ACM.
PY - 2022/1/14
Y1 - 2022/1/14
N2 - 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.
AB - 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.
KW - ABC analysis
KW - Area-POS data
KW - association analysis
KW - community currency
UR - http://www.scopus.com/inward/record.url?scp=85129178282&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85129178282&partnerID=8YFLogxK
U2 - 10.1145/3514262.3514281
DO - 10.1145/3514262.3514281
M3 - Conference contribution
AN - SCOPUS:85129178282
T3 - ACM International Conference Proceeding Series
SP - 579
EP - 584
BT - 2022 13th International Conference on E-Education, E-Business, E-Management, and E-Learning, IC4E 2022
PB - Association for Computing Machinery
Y2 - 14 January 2022 through 17 January 2022
ER -