The rapid construction activity has led to a dramatic and intricate change in the spatial shape of the new district,and the basic features of the spatial evolution of the new district can be concluded through the analysis on the dynamic change of construction schedule and rate.This study adopts four landsat4-5 TM images and one Landsat8 OLI images,which divided into four stages.Using GIS,Space Syntax,GEOSOS and other technologies to analyze the land use change,construct spatial analysis model,and study the expansion speed,intensity,direction and morphology of the construction land of the three new district in Nanjing.It use the regression analysis method to establish a mathematical model,and interprets the spatial evolution mechanism of the new district in Naning from the quantitative and qualitative angle.The Logistic-CA model was established to predict the trend of spatial morphological evolution,and put forward measures to promote the reasonable growth of urban structure and optimize the layout of urban land.It is conclude that the space expansion of Nanjing new district in 1994-2014 is quick,the external contour and internal structure have been vigorously developed.In terms of external morphology,there are not only differences in scale,but also differences in development direction,expansion strength and expansion mode.External morphological aspects differ not only in scale,but also in direction of expansion,expansion of strength,expansion mode,etc.;In terms of internal functions,the proportion of residential land and commercial land occupies an increasing trend.The proportion of public administration and service land and industrial land as the proportion of urban land area is declining,and the land structure of Xianlin new district tends to be reasonable and balanced,and the urban functional structure of Pukou and Dongshan new district is developing in an unbalanced direction.The main factors affecting the evolution of spatial morphology in the new district are natural factors,social factors,economic factors,planning policy factors and traffic factors. |