Construction and Empirical Study of an Intercity Rail Station Connection Performance Evaluation Model Based on Multi-Source Data Fusion: A Case Study of the Guangzhou-Dongguan-Shenzhen Intercity Railway

With the rapid expansion of China’s intercity rail transit network, station connection systems play a crucial role in enhancing rail transit efficiency. The efficiency of their supply-demand matching has become a significant factor influencing regional transportation integration. This paper focuses on the Guangzhou-Dongguan-Shenzhen Intercity Railway as the research subject. It constructs a connection performance evaluation model that integrates multisource data from both supply and demand perspectives, revealing spatial differentiation patterns of station connection pressure and facility needs, and classifies the stations accordingly. Based on these findings, the paper proposes optimization strategies to inform intercity transportation planning and the development of intelligent transportation systems. Intercity railway, connection performance, data envelopment analysis, Guangdong-Hong Kong-Macao Greater Bay Area, evaluation model