Autor: |
Yulu Chen, Zhilong Chen, Dongjun Guo, Ziwei Zhao, Tong Lin, Chenhao Zhang |
Jazyk: |
angličtina |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
Underground Space, Vol 7, Iss 5, Pp 748-766 (2022) |
Druh dokumentu: |
article |
ISSN: |
2467-9674 |
DOI: |
10.1016/j.undsp.2021.12.006 |
Popis: |
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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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