Investigating Urban Underground Space Suitability Evaluation Using Fuzzy C-Mean Clustering Algorithm—A Case Study of Huancui District, Weihai City

Investigating Urban Underground Space Suitability Evaluation Using Fuzzy C-Mean Clustering Algorithm—A Case Study of Huancui District, Weihai City

The development of underground space resources can alleviate the problems of traffic congestion and land resource tension caused by urbanization, but there are also certain risks in the development of underground space, so the suitability of development needs to be evaluated. This paper takes the ge...

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Detalhes bibliográficos
Main Authors: Minlei Wang, Hanxun Wang, Yan Feng, Yuanzhi He, Zhong Han, Bin Zhang
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2022-11-01
Colecção:Applied Sciences
Assuntos:
urban underground space
geological suitability
fuzzy C-mean clustering
GIS
Acesso em linha:https://www.mdpi.com/2076-3417/12/23/12113

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