Abstract: Based on the urban connection intensity matrix constructed by Baidu migration, Baidu Index, banks and logistics enterprises, the study measures the characteristics and correlation of urban network structure and its correlation characteristics under multi-dimensional flow in Hubei Province from the perspective of network node, network connection hierarchy and core-edge structure. Five influencing factors including enterprise development, transportation accessibility, industrial structure, economic development and social service are selected to construct regression analysis model to further explore the comprehensive factors affecting the multi-dimensional network structure of Hubei Province. The results show that: (1) Under the effect of different factors, the node levels of the urban network are obviously differentiated. Wuhan is in the independent core position, and Tianmen, Qianjiang, Xiantao and Shennongjia forest areas are in the lower level. Besides, the overall connection density of different connection networks is information flow>logistics>capital flow>comprehensive flow> people flow; (2)Capital network has strong correlation with other networks, and has great commonality with logistics network in the quantity and spatial distribution of core edge cities, while information network has little correlation with people network； (3) Enterprise development and industrial structure are the main reasons for the generality of multidimensional network. Transportation accessibility, economic development and social service factors are the main reasons for the difference of multi-dimensional network. Among them, economic development factors have the most significant influence, while social service factors have the weakest influence. Finally, the paper puts forward some discussions on the key directions of hubei provincial spatial planning based on the conclusion of this study.