ANALYSIS OF NEW RETAIL LOCATION BASED ON GIS SPATIAL ANALYSIS—TAKE STARBUCKS AND LUCKIN COFFEE FOR EXAMPLE
Keywords: New Retail, Location Site Selection, Spatial Analysis, OLS Regression Model, Big Data, Geographic Information
Abstract. This paper selects nine administrative districts in Shenyang, and compares the spatial distribution patterns and factors influencing the location of the new retail brand Luckin Coffee and the classic traditional retail brand Starbucks in Shenyang. The results show that the traditional retail Starbucks tends to be distributed in a single-center pattern, while the new retail brand Luckin Coffee tends to be distributed in a multi-center decentralized pattern. According to the significance of the influence on spatial layout, the most important factor influencing the location of traditional retail Starbucks Coffee is the density of commercial plazas, while the most important factor influencing the location of new retail brand Luckin Coffee is the density of commercial office buildings. The new retail brand Luckin Coffee, with its Internet gene, weakens the spatial resistance of its store location.