文献类型：期刊文献

英文题名：The In-Depth Analysis on the Influencing Factors of Urban Vitality in China's HSR Station Area

作者：Yang, Ting[1];He, Dan[1];Li, Qimeng[1];Meng, Bin[1];Zhou, Jing[2];Qin, Zihang[1];Chen, Jing[1]

通讯作者：He, D[1]

机构：[1]Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100191, Peoples R China;[2]Inst Tibetan Plateau Res, Chinese Acad Sci, State Key Lab Tibetan Plateau Earth Syst Environm, Beijing 100101, Peoples R China

第一机构：北京联合大学应用文理学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100191, Peoples R China.|[114172]北京联合大学应用文理学院;[11417]北京联合大学;

年份：2025

卷号：2025

期号：1

外文期刊名：JOURNAL OF ADVANCED TRANSPORTATION

收录：;EI(收录号：20254219327822);Scopus(收录号：2-s2.0-105018610872);WOS:【SCI-EXPANDED(收录号:WOS:001588674800001)】；

基金：This research was jointly funded by the Academic Research Projects of Beijing Union University (No. ZK20202405), the National Natural Science Foundation of China (Grant No. 41201115), the Beijing Social Science Fund (Grant No. 19JDGLA006), and the Team Building Fund for Professor Xuezhi from the College of Applied Arts and Science, Beijing Union University (BUUCAS-XZJSTD-2024005).

语种：英文

外文关键词：association rule mining; high-speed railway station area; influencing factors; OLS regression; urban vitality

摘要：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.