The entropy method was used to carry out multidimensional evaluation of the population, land and economy urbanization level of 105 cities in the three periods of 2008, 2013 and 2018 in the Yangtze Basin. ArcGIS platform was used to analyze spatial and temporal evolution characteristics and coupling coordination degree of urbanization, and analyze the spatial-temporal agglomeration model. The multiple linear regression model was adopted to find the driving factors for the coupling coordination degree of urbanization. The results revealed that the coupling coordination degree of urbanization in the upper, middle and lower reaches of the Yangtze Basin was significantly different, showing a pattern of: downstream area >> midstream area > upstream area. The cities with medium and higher level of coupling coordination degree mainly included cities in the Yangtze River Delta, Hefei and Wanjiang cities, Wuhan City Circle, Changsha City Circle, Chengdu-Chongqing City Group, Nanchang, Guiyang, Kunming. The cities whose coupling coordination degree were in an unbalanced stage mainly included the source region of the Yangtze River, eastern Tibet, western Sichuan, Hengduan Mountains in northern Yunnan, Longnan, Gansu, Wumeng Mountains, Wuling Mountains, and Nanling Mountains. The spatial agglomeration model of coupling coordination degree of urbanization in various cities was divided into four types: hot spot cluster type, central development type, cold spot cluster type, and fringe dissociative type. Four spatial agglomeration models were constructed, and the model fitting decision coefficient R2 was greater than 0. 800. Finally, based on the coordinated development of new-type urbanization, this study proposed four policy recommendations for the development of population, land and economy urbanization in the Yangtze Basin.
