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原文传递 Demand Evaluation of Urban Underground Space through Geospatial Big Data
题名: Demand Evaluation of Urban Underground Space through Geospatial Big Data
正文语种: eng
作者: Ruiya Ge;Xiaohui Li;Feng Yuan;Simon M. Jowitt;Fanfan Dou;Yunying Xiong;Xiangling Li
作者单位: Hefei Univ. of Technology;Hefei Univ. of Technology;Hefei Univ. of Technology;Univ. of Nevada Reno;Hefei Univ. of Technology;Hefei Univ. of Technology;Hefei Univ. of Technology
关键词: Geospatial big data;Socioeconomic indicators;Geodetector;Urban underground space (UUS) demand evaluation
摘要: Abstract The development of urban underground space (UUS) is an important approach to the sustainable development of modern cities. This means that assessing potential demand differences in undeveloped UUS can inform the areas that need to be prioritized
出版年: 2024
期刊名称: Journal of Urban Planning and Development
卷: 150
期: 1
页码: 1.1-1.8
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