Research On Shopping Malls Formats And Distribution Based On Digital Space Analysis Technology

The continuous development of digital economy not only changes people’s way of life consumption,but also accelerates the development of traditional real industries to digital.How to deal with the opportunities and challenges brought by the digital economy for the offline commercial space represented by shopping malls has become an important research topic.Taking shopping malls in Beijing as the research object,this paper applies network big data brought by digital technology,traditional field research data,model analysis data and other data to carry out case comparison analysis and mathematical statistical analysis on different shopping malls at the same time and the same shopping mall at different times,to explore the development trend of shopping malls and the formats and the spatial distribution pattern,The aim is to promote shopping malls to seize the opportunities of the digital economy era and accelerate the development of industrial digitalization.The main research conclusions of this paper include: according to the characteristics of the digital economy era,the traditional shopping malls is divided into six types:department store consumption type,mall consumption type,block consumption type,department store experience type,mall experience type and block experience type from the two dimensions of the shopping environment and consumer demand created for consumers.From the perspective of urban scale analysis: Based on the online review data of consumers on six types of shopping malls,it is found that consumers prefer shopping malls with block type and experience type.It is found that the proportion of shopping service has decreased from 90% to about 50%,and the proportion of catering service,life service,sports and leisure service and science,education and culture service has increased.By analyzing the spatial distribution of different types of shopping malls,it is found that the form floor distribution score of department store shopping malls is: Daily Life Service >Shopping Service ≈ Food & Beverages Service ≈ Sports & Recreation Service;Mall type shopping malls: Shopping Service > Food & Beverages Service ≈ Daily Life Service > Sports & Recreation Service;Block type shopping malls: Shopping Service >Food & Beverages Service > Daily Life Service > Sports & Recreation Service;The analysis of the spatial location of shopping malls shows that consumer shopping malls are more inclined to occasional consumption,and experience-based shopping malls can be used as purposeful consumption places to attract customers.Analysis from architectural scale: According to the demands of different formats for spatial accessibility,the 42 formats are clustered into four formats: high accessibility demand format,medium and high accessibility demand format,medium accessibility demand format and low accessibility demand format.And the Dianping data and the clustering of business format parameters were used to optimize and improve the business format classification,finally guide the layout of the different types of forms in space;In addition,it is also found that the consumption level of shopping malls has a greater impact on the distribution of the format of shopping malls,while the experience type shopping malls have a greater impact on the popularity of shopping malls.