摘要
Abstract
This paper redeifnes urban center based on the activities which are carried out through Internet, and identiifes all urban centers of 658 cities utilizing Baidu heatmap. We take the new method of recognizing urban centers as a bottom-up pattern which will assist the traditional top-down method. Among 658 cities, there are 69 polycentric cities; and we focus on them to explore the general law of Chinese polycentric cities. All polycentric cities are classiifed into three categories according to the number of urban centers, which are primary polycentric city, growing polycentric city, and mature polycentric city. We further analyze areas, average distance and activity intensity of all polycentric cities on the basis of these three categories. According to our analysis, Chinese big cities perform signiifcant polycentric city, while development of small cities (especially county-level city) are extremely lagging. Disparities among all polycentric cities in areas of centers are huge; Generally, they all tend to develop a hierarchical structure. As the polycentric cities keep developing from primary level to mature level, the communication distance will increase gradually, but the improvement of centers to city dynamic is also remarkable. At last, the regression analysis indicates that the number of employment and GDP per capita have signiifcant correlation with the formation and development of urban centers. Accordingly, we provide three suggestions for Chinese cities regarding to the importance of developing center, the efifciency of centers’ network, and the new method of identifying centers.关键词
城市空间结构/多中心/百度热力图/人群聚集Key words
Urban spatial structure/Polycentric/Baidu heatmap/Human aggregation分类
建筑与水利
