Advancing geotechnical insights through geodatabases and data-driven methodologies

This study presents a spatially integrated methodology for assessing geotechnical reliability in a multi-hazard context, with a case application along the San Andreas Fault Zone (SAFZ) in California.A Composite Reliability Index (CRI) was developed by integrating DEMderived terrain attributes, 3D lithologic clustering, soil taxonomy, and peak ground velocity (PGV) data into a unified, normalized framework.Weighted overlay analysis was employed, with suitability scores derived from seismic, geotechnical, and geomorphological principles, supporting compatibility with ASCE 7 [13] and FEMA seismic guidelines [14].The resulting CRI surface delineates zones of varying geotechnical resilience, identifying areas of high stability suitable for infrastructure development and regions warranting caution due to compounded seismic and geological risks.Spatial validation through correlation with established urban centers and reliability index () mapping reinforces the practical applicability of the framework for preliminary site screening and regional resilience planning in faulted, data-constrained terrains. INTRODUCTIONTectonically active regions such as the San Andreas Fault Zone (SAFZ) are characterized by a convergence of seismic, geomorphological, and lithological hazards, resulting in complex interactions that influence infrastructure reliability and site resilience.Seismic shaking, surface fault rupture, unstable lithologies, and post-wildfire slope failures represent interdependent