Network Analytics for Infrastructure Asset Management Systemic Risk Assessment

The ever-increasing investment gap for deteriorating infrastructure has necessitated the development of more effective asset management (AM) strategies. However, information asymmetry among AM stakeholder silos been recognized as a key challenge in implementing connectivity within system introduces systemic risks (possibility dependence-induced cascade failure) to entire operation when occurs. This study describes toolbox enable stakeholders assess such through network analytics approach. network, representing system, is examined its centrality measures identify most critical subject areas system. These are subsequently paired with assets’ performance indicators (KPIs). Within developed toolbox, descriptive provide transferrable KPI insights between reduce asymmetry. In parallel, predictive forecast KPIs, ensuring awareness future allow appropriate preparation. Subsequently, prescriptive employ heuristic-based optimization optimal configuration network. five tools presented follows: (1) dependence identification and modeling; (2) analysis; (3) area KPI; (4) KPI-based analytics; (5) configuration. utility demonstrated Tools 1–3 using real KPIs associated power transmission outages. Based on analyses, managerial drawn illustrate usefulness approach improving mitigating risks.