ABSTRACT
Due to convenience, rail transport has become one of the major travel modes for
most residents of large cities. However, in recent years, with the rapid increase in the
number and type of traffic data, traditional methods of statistical analysis based on
statistical sampling and expert experience are no longer applicable. Meanwhile, with
the improvement of data storage capacity and the development of data analysis and
mining technology, the analysis and visualization of large data becomes very important
for the study of urban traffic.
Commercial district is a range that is gathered from the stores, and it is one of the
research priorities in the field of business and economics in recent years. Retail stores
are most concerned about profit, and the profit is related to customers flow directly.
The convenience of public transport can bring a huge flow of customers for the
commercial district, but the traditional study on the business district can not make good
use of the advantages of large data, and how to clearly express the rules hidden in the
business and traffic data is that requires us to perform visual analysis.
Visualization is a way to show the relationship between data and hidden rules
through a series of visual technology. This paper first analyzes the mobile behavior of
the population based on the subway card data, and designs an interactive visual analysis
system, which aims to show the traffic information and analyze the moving behavior of
different groups. After deep research and multi-angle analysis on the flow data and
business data. This paper analyzes the sales data, commercial district data and
multidimensional geospatial data. At the same time, this paper makes an in-depth study
on the attraction model of commercial district. By comparing the advantages of existing
models and the analysis of multiple correlations, this paper puts forward the attraction
model of commercial district suitable for large cities, and points out the relationship
between influencing factors and cities. In addition, this paper puts forward a new
method to regulate the radiation range of commercial district from a new angle.
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