Resilience Study for Underground Space Development Considering the Safety of Surrounding Built Environment

Given the lack of consideration for the safety of the surrounding environment in existing layout planning research for newly constructed Urban Underground Space (UUS), this study proposes a novel resilience evaluation model for UUS development through the cross-application of geotechnical analysis, urban planning theory, and artificial intelligence (AI). By re-using geological information, the proposed model mapping algorithm enables the application of geological models to refined numerical calculations, accurately locating the range of excavation disturbances of new UUS. Subsequently, the proposed AI algorithm is trained to learn from the existing underground space excavation cases, establishing a mathematical mapping relationship between the main construction parameters and the safety indexes of surrounding buildings. The mapping relationship enables the assessment of the development resilience of UUS through the safety evaluation of surrounding affected buildings and forms an intelligent resilience evaluation model of UUS development. This study contributes to the tools and methods for UUS layout planning and seeks the breakthrough for the cross-application of geotechnical science and urban planning theory.