Analysis of factors Affecting the Development of Fast-Food Industry Based on Machine Learning Methods

Abstract

Fast food industry is one of the fastest-growing businesses in the world. In this paper, we analyze the development situation of KFC in the Yangtze River delta area (Jiang Su, Zhe Jiang, and Shanghai). According to the analysis of specific data related to the distribution of shops and sales data, we aimed to create the proper strategy for its future development in this zone. We analyze the connection between the number of KFC shops and different classes of cities. We also analyze the relationship between population density and KFC shop distribution by a case. Especially, we use PCA (Principal component analysis) to find the most important influence factors, and the experimental results show that GDP, population with the unit of million, the output value of the second industry are the three key factors affecting the number of KFC outlets. Finally, we analyze the typical features of the Yangtze River delta area.