The In‐Depth Analysis on the Influencing Factors of Urban Vitality in China’s HSR Station Area

High‐speed railway (HSR) station area is the key focus of urban construction, and the development of HSR station area has significant regional differences. This study adopts the association rule mining model and ordinary least squares (OLS) regression method to explore the relationships among the development level of the station‐setting cities, the development level of the HSR station area, and the urban vitality of the HSR station area. It further investigates how each factor influences the urban vitality in the HSR station area. Findings reveal a prominent multicenter clustering pattern in the urban vitality of the HSR station area. The association rule mining analysis reveals a clear and complex link between the urban vitality in the station area and the influencing factors of the development level of the station‐setting cities and the development level of the HSR station area. OLS regression analysis results indicate that the proportion of the tertiary industry in GDP and the intensity of intracity travel are significantly positively correlated with urban vitality in the HSR station area, directly contributing to the growth of the urban vitality. The study’s innovation mainly lies in utilizing multisource data to analyze the spatial pattern characteristics and influencing mechanism of the urban comprehensive vitality in the HSR station area from multiple perspectives, as well as applying association rule mining to explore the correlations between urban vitality in the HSR station area and its determinants. From the perspective of urban vitality, gaining deeper insight into the overall development status of the HSR station area and identifying the factors that affect the urban vitality of the HSR station area can support efforts to enhance the vitality of the broader urban environment.