To identify key stations in urban rail transit networks and study their evolution over multiple years, we developed a key station recognition method based on truncated singular value decomposition (TSVD). We selected origindestination (OD) data from the morning peak hours between 2011 and 2019 in Beijing as the dataset. The analysis involved evaluating the evolution of network passenger flow and identifying key stations in subway networks using key eigenvectors. These results were then compared with those obtained from complex network methods. The analysis demonstrates that TSVD can effectively identify key network stations by considering the OD distribution. The outcomes from TSVD better represent the spatial distribution of network passenger flow than traditional methods. The results revealed that the spatial layout of key stations in Beijing's urban rail transit has evolved towards multiple centers, such as Northwest Xi’erqi and Southwest Fengtai Science Park. These stations are gradually forming network passenger flow centers and establishing connections. Additionally, stations like Southeast Tu Qiao and Northeast Fengbo are showing preliminary trends toward becoming network passenger flow centers.
| 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 |