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

Abstract

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 geological suitability of underground space resources in Weihai City as the evaluation object, establishes the index system for evaluating the geological suitability of underground space resources development and utilization, determines the criteria for quantifying each factor index, uses the hierarchical analysis method to determine the index weights and applies the fuzzy C-mean clustering algorithm to evaluate the geological suitability of underground space resources development and utilization in the urban area of Weihai City, and achieves excellent results that are more in line with the geological conditions.