Research on Geological Safety Evaluation Index Systems and Methods for Assessing Underground Space in Coastal Bedrock Cities Based on a Back-Propagation Neural Network Comprehensive Evaluation–Analytic Hierarchy Process (BPCE-AHP)

With the rapid development of economy in China, scale and quantity urban underground space continue to grow rapidly; as such, geological safety problems utilization are a research hotspot at present. Therefore, it is important establish high-quality evaluation index system method for assessing spaces coastal bedrock. Taking typical area Qingdao an example, this study establishes effective evaluating according background, hydrogeology, engineering geology, unfavorable phenomena Hongdao Economic Zone Qingdao. Then, was studied. Through comprehensive analysis comparison fuzzy evaluation–analytic hierarchy process (FCE-AHP), grey relation (GRCE-AHP), matter-element (MECE-AHP), back-propagation neural network (BPCE-AHP), determined that (BPCE-AHP) ideal Qingdao’s bedrock area. This used evaluate area, results were verified; further proved practicability rationality (BPCE-AHP).