With the development of information technology, proximity, both in time and space is greatly reduced, and the networked region is formed by the geographic space based on the reconstruction of urban relations. Interactions within such a network are called the "element flow", which accelerate the spatial reconstruction of cities and regions at different scales in the information era. In order to explore urban development patterns of "flow space" in Jiangsu Province, urban competitiveness is evaluated using principal component analysis (PCA). The strength of the association between major cities based on highways and high-speed railways is measured using the parameter substitution method, and an urban traffic flow network is constructed. For each network node, the ingress and egress are calculated, and the network hierarchy is divided. The first 5 pairs, 10 pairs, and 20 pairs of association strength networks and the first association strength network are selected to carry out a systematic study on the traffic flow network structure and urban pattern of major cities in Jiangsu. On this basis, considering that Jiangsu is an integral part of the Yangtze River Delta urban agglomeration, the provincial urban pattern is bound to the influence of other central cities in the urban agglomeration, thus underscoring external central cities as influence factors. By using the gravity center model and multidimensional scale analysis, the distance and direction of the center-of-gravity shift of the urban network after being influenced by external central cities are calculated, and the pattern deformation of the urban network in Jiangsu in two-dimensional space is quantitatively analyzed. It is found that Jiangsu has a remarkable urban network differentiation, with a typical core-edge structure from south to north, and an inclined hourglass-shaped urban agglomeration in the south of the Yangtze River, while a weak association exists between the northern cities, in addition to an absent network system. The urban pattern shows the status of overall fixedness and local rapid adjustment. Affected by Shanghai, significant center-of-gravity shifts and spatial agglomeration have happened to the urban network in Jiangsu, of which the intensity is inversely proportional to the spatial distance. However, for cities in the north of the Yangtze River in Jiangsu, Xuzhou plays a much stronger central role in the region than Shanghai.
