Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

May 31, 2022


Pages

2377-2392


DOI

Article

Data mining of Chain convenience stores location

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Authors

Yingfeng Shi Affiliation:
Jiangsu Vocational Institute of Commerce JiangSu, China 211168
and Xiuchen Chen Affiliation:
Jiangsu Vocational Institute of Commerce JiangSu, China 211168


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.


Keywords

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


Citation

Shi, Y. & Chen, X. (2021). Data mining of chain convenience stores location. Applied Mathematics and Nonlinear Sciences, 6(2), 2377–2392. https://doi.org/10.2478/amns.2021.2.00200

Published by: Engineering Journals

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