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Lin Feng is currently an associate researcher at the Transport and Economics Research Institute of the China Academy of Railway Sciences Corporation. She earned her Ph.D. from Beijing Jiaotong University and has served as an assistant researcher at the same institute since 2017. Since joining the organization, she has led multiple provincial and ministerial-level research projects, primarily focusing on high-speed rail transport capacity enhancement, capacity calculation, and comprehensive utilization. She has published over 10 journal papers and authored one monograph.
Lin Feng is currently an associate researcher at the Transport and Economics Research Institute of the China Academy of Railway Sciences Corporation. She earned her Ph.D. from Beijing Jiaotong University and has served as an assistant researcher at the same institute since 2017. Since joining the organization, she has led multiple provincial and ministerial-level research projects, primarily focusing on high-speed rail transport capacity enhancement, capacity calculation, and comprehensive utilization. She has published over 10 journal papers and authored one monograph. |
Outline
With the continuous expansion of railway hubs, increasing functional complexity and growing capacity constraints, the coordinated and efficient utilization of transportation resources－such as stations, lines and maintenance facilities－has become a critical issue for improving hub operational efficiency. This study focuses on the division of functions within railway hubs that incorporate shared stations operating under mixed high-speed and conventional train services.
An optimization model for hub functional allocation is developed to achieve efficient resource utilization in hubs containing mixed-operation stations. A node-arc network representation combined with an improved multi-commodity flow model is employed, taking train dwell and operation time within the hub as the optimization objective. A case study is conducted to derive optimized solutions, followed by both qualitative and quantitative analyses.
The results indicate that optimizing train operation routes and station assignments within the hub can effectively reduce the total occupation time of train flows and significantly improve resource utilization efficiency.
The proposed model demonstrates both scientific rigor and practical effectiveness. In real-world operations, it can provide operators with preliminary and proactive functional allocation schemes, help identify key constraints limiting hub capacity utilization and offer decision support for transport plan adjustments or infrastructure and facility upgrades.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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