This studyexplores the impact mechanism of population socioeconomic, land use, station characteristics, and other transportation attributes on rail transit passenger flow. Using multisource data including LandScan population grid, points of interest (POI), and automatic fare collection system (AFC), a spatiotemporal geographic weighted regression, gradient boosting regression tree, Shapley addition explanatory (GTWRGBRTSHAP) model, was developed to analyze the spatiotemporal heterogeneity and nonlinear effects of the these factors. A case study was conducted using data from Tianjin rail transit network, and the results showed that the mixed model effectively captures the spatiotemporal heterogeneity and nonlinearity between influencing factors and passenger flow. Factors such as population density, officetype land, shopping and leisure land, and betweenness have significant spatiotemporal differences in their impact of passenger flow. Factors such as residentialtype land, transportation facility land, land use entropy, and betweenness have significant complex nonlinear and threshold relationships with passenger flow. The above results provide strategic references and theoretical support for optimizing public transportationoriented urban development (TOD) planning and improving the efficiency of rail transit passenger flow.
| 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 |