Underground space use of urban built-up areas in the central city of Nanjing: Insight based on a dynamic population distribution
Yulu Chen, Zhilong Chen, Dongjun Guo, Ziwei Zhao, Tong Lin, Chenhao Zhang
Abstract
With the expansion of cities and the emergence of various urban problems, urban underground space has been developed as a solution. In China’s urban transition context, there is a need for the development of underground space in urban built-up areas. In this case-study of the central city of Nanjing, we used spatial analysis and statistical methods to characterize the underground space use of urban built-up areas from a dynamic spatiotemporal perspective. We first analyzed the relationship between the population distribution and the underground space use of the central city of Nanjing based on a Baidu heat map, which can reflect the real-time population distribution, and then, we explored the spatiotemporal characteristics and spatial structure of the underground space use in urban built-up areas. The analysis results provide a reference for planning to improve and optimize the layout of underground space in the central city of Nanjing and, more generally, for the stock-type planning of underground space in urban built-up areas.