Abstract：The quality and scale of urbanization are two aspects to measure the level of urbanization development， and the spatio-temporal dislocation of their development is an important contradiction facing the current urbanization development in China. In this paper， 26 cities in the Yangtze River Delta urban agglomeration are selected as the research object， and the quality and scale of urbanization from 2009 to 2019 are comprehensively measured by the linear weighted synthesis method. The temporal and spatial pattern， dislocation degree and influencing factors are explored by theil coefficient， standard deviation ellipse model， spatial overlap， spatial dislocation index and spatial regression model.The results are shown as follows. 1) During the study period， the urbanization level changed from “scale-driven” to “quality-driven”， and its change was determined by the number of middle and low level cities. With the change of time dimension， the quality of urbanization improved significantly， and the internal differences gradually narrowed. The internal differences of urbanization scale are widening， and the unreasonable phenomenon of scale and structure is somewhat prominent. 2) In terms of spatial distribution， the quality of urbanization is mainly in the middle level regions， with the high level regions increasing and the low level regions decreasing. The urbanization scale always maintains the distribution pattern of “central bulge”， with the medium-sized cities gradually replacing the small cities and becoming the region-dominated urbanization scale type. 3) Spatial mismatch of urbanization quality and scale： there is an obvious spatial mismatch between the quality and scale of urbanization in the Yangtze River Delta urban agglomeration， and the phenomenon of spatial mismatch between the quality and scale of urbanization is mainly caused by the mismatch of a small number of cities. 4) Spatial mismatch of urbanization quality and scale is influenced by many factors. GDP per capita， public transportation vehicles per million residents， population urbanization rate， land urbanization rate and fiscal expenditure as a propotion of GDP have significant influences on spatial mismatch index， among which GDP per capita and land urbanization rate of spatial mismatch contribut the most， while other factors are not significant.
2022, Vol. 56 
