Measurement and Spatial Distribution of Urban Land Use Compactness in Chaoyang District of Beijing, China |
| |
Authors: | Hong Min Jin Fengjun Brian D Fath |
| |
Institution: | Hong Min1,2,Jin Fengjun1,Brian D.Fath 1.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China,2.Graduate School of the Chinese Academy of Sciences,Beijing 10009,.Towson University,Towson,MD 21252,USA |
| |
Abstract: | China is in the process of rapid urbanization, and wise land use is critical to the long-term sustainability of Chinese cities.Promotion of a compact city is typically believed to be helpful for sustainable land use management. However, given the fact that Chinese cities are characterized by high population densities, the applicability of a more compact solution to expand cities in China remains questionable; there is little evidence to support the many claims in its favor. In seeking to provide empirical data to explore the application of compact city theory in China, one of the key problems researchers face is the task of measuring the urban com-pactness, in order to objectively investigate the current characteristics of urban compactness. To meet this need, indices were developed for measuring the urban land use compactness, by which the spatial distribution characteristics of urban land use compactness were identified and applied to the Chaoyang District of Beijing. The conclusions can be made as follows: (1) comprehensive land use compactness in Chaoyang District has increased during the period of 2001-2007, especially the population density; (2) the spatial distribution of land use compactness has the characteristics of a ring structure, which shows a decreasing trend with its distance to the city center; (3) there is a strong positive correlation between urban land use compactness and location. The better the location is, the higher the land use compactness is. |
| |
Keywords: | urban land use compactness measurement indices Chaoyang District |
本文献已被 CNKI 万方数据 等数据库收录! |
|