M. Golabchi

From prediction to decision support: explainable machine learning for schedule-delay risk in complex infrastructure projects

The explainability analysis indicates that predicted schedule-delay risk is associated with non-linear, model-attributed risk-state patterns rather than isolated variables, and the framework can support more transparent and accountable infrastructure project governance.