<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Based on the knowledge of convenience stores, this paper comprehensively probes the influencing factors of their location, and constructs and analyses their location mode. The initial evaluation system was put forward, which consists of 5 primary indexes and 14 secondary indexes. The primary index is divided into population, traffic, competition, self-factors and others. After determining three different location evaluation systems, the location model of chain convenience stores is constructed and verified based on the data of Nanjing. The verification of the model shows that the accuracy of the location model of a convenience store is 90.3%, which indicates that the location model proposed in this paper has high accuracy and practicability.</p>
</abstract>

Based on the knowledge of convenience stores, this paper comprehensively probes the influencing factors of their location, and constructs and analyses their location mode. The initial evaluation system was put forward, which consists of 5 primary indexes and 14 secondary indexes. The primary index is divided into population, traffic, competition, self-factors and others. After determining three different location evaluation systems, the location model of chain convenience stores is constructed and verified based on the data of Nanjing. The verification of the model shows that the accuracy of the location model of a convenience store is 90.3%, which indicates that the location model proposed in this paper has high accuracy and practicability.

Data mining of Chain convenience stores location

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Data mining of Chain convenience stores location"}

Based on the knowledge of convenience stores, this paper comprehensively probes the influencing factors of their location, and constructs and analyses their...

Data mining of Chain convenience stores location

Published Online: May 31, 2022

Page range: 2377 - 2392

Received: Jan 18, 2022

Accepted: Mar 27, 2022

DOI: https://doi.org/10.2478/amns.2021.2.00200

Keywords
location of convenience store, data of Nanjing, the location model

© 2023 Yingfeng Shi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Data mining of Chain convenience stores location

Published Online: May 31, 2022

Page range: 2377 - 2392

Received: Jan 18, 2022

Accepted: Mar 27, 2022

DOI: https://doi.org/10.2478/amns.2021.2.00200

Keywordslocation of convenience store, data of Nanjing, the location model

© 2023 Yingfeng Shi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
location of convenience store, data of Nanjing, the location model