[Purpose/significance] This research investigates the criticalfactors influencing emergency intelligence services to clarify their hierarchical structure and interrelated pathways. The ultimate goal is to offer both a theoretical foundation and actionable guidance for improving the efficacy of government emergency management. [Method/process] Based on the methodology of the WSR system, an index framework for the influencing factors of emergency intelligence services has been developed, encompassing three dimensions: Wuli, Shili, and Renli. Through the application of the fuzzy DANP methodology, this study elucidates the complex interrelationships and hierarchical significance among various influencing factors, ultimately pinpointing the key determinants in emergency intelligence service systems. Using the ISM framework, the influencing factors are stratified into a hierarchical structure, followed by a path-dependent correlation analysis to uncover their causal interlinkages. [Result/conclusion] The effectiveness of emergency intelligence services stems from the dynamic interaction of four hierarchical dimensions: surface phenomena, shallow-layer factors, mid-level systems, and foundational determinants. Among them, identifies information infrastructure, security mechanisms, digital technologies, and policy-regulatory frameworks as foundational determinants, whereas data standardization systems,participation willingness, demand preferences, psychological resilience, and risk perception constitute proximal influencing factors.