Analysis of Influencing Factors of Beijing Subway Passenger Flow Based on Data Analysis Method

Abstract

Subway passenger flow volume is a hot issue of concern to society. Some researchers develop predictive models to analyze short-time flow volume based on previous data. However, predictive ways to estimate the number of passenger flows before the subway construction still need to be completed. Therefore, by focusing on Beijing Subway Line 10, the article analyzes the factors influencing the passenger flow volume based on data analysis methods. The research finds that passenger flow volume on weekdays is greater than on weekends; as the number of stations and transfer stations increases, the volume increases; monofunctional stations have higher passenger flow volume. Before the construction of the subway, the design can be more appropriate according to relative factors. As a result, it is beneficial to release the stress of management and issues happening while the subway is running, decreasing operating costs and risks. In future studies, more detailed analyses in particular cases can be done.