5. CONCLUSIONS
This study identified the dominant influencing factors of urban flooding by integrating series driving forces (topography, drainage capacity, land cover composition, landscape configuration, building patterns) by adopting BRT model. Moreover, we further revealed the interaction effects among building metrics in Beijing’s central area by using GD method. The urban flooding points present a aggregation pattern, and was mainly concentrated in Haidian and Fengtai districts. The landscape shape index, slope, green space ratio, and waterbody ratio were the most important factors affecting urban flooding, with total relative contribution of 67.23. Building metrics has a certain impact on urban flooding, and sum of relative contribution can reach at 21.03%. Anymore, enhancement effect exist between building metrics, especially the building congestion degree and building density. The results also demonstrated the occlusion effects in BRT model. This study provides practical suggestions to improve stormwater management via optimizing urban morphology in 2D and 3D.