Abstract: Considering the current coordinated development of the Yangtze Basin and the development of new urbanization, how to promote the orderly, moderate and coordinated construction of regional urbanization is a scientific problem that needs to be solved urgently. Taking 105 prefecture-level cities in the Yangtze Basin as the research object, a five-dimensional comprehensive evaluation index system of population, land, economy, society and ecological environment urbanization was constructed based on the entropy method. The coupling coordination model, kernel density estimation and exploratory spatial data analysis methods were used to explore the spatiotemporal differentiation characteristics, spatial clustering pattern and influencing factors of the urbanization coupling coordination in the Yangtze Basin. The results showed that: (1) From 2008 to 2018, the standard deviation and coefficient of variation of the urbanization coupling coordination degree in the Yangtze Basin declined, and the dispersion degree of the urbanization coupling coordination degree among prefecture-level cities tended to shrink. (2) Prefecture-level cities with good coupling coordination degree and above were mainly located in the Yangtze River Delta, Hefei and Wanjiang, Wuhan city circle, Changsha city circle, Chengdu-Chongqing city group and other places. The prefecture-level cities with uncoordinated coupling coordination mainly included the source region of the Yangtze River, the western Sichuan, eastern Tibet, Hengduan Mountain in NorthernYunnan, Longnan, Wumeng Mountain, Xuefeng Mountain, Luoxiao Mountain, etc. (3) The spatial aggregation of urbanization coupling coordination could be divided into four types. Human capital, transportation construction, economic growth, industrial structure, and geographical characteristics shaped the regional pattern of urbanization coupling coordination. Based on the multi-dimensional coupling and coordinated development of urbanization, this study put forward corresponding policy recommendations.