The Value Proposition for Likelihood-of-Failure Modeling

摘要

Key TakeawaysA water agency used geographic information system (GIS) predictive modeling and likelihood-of-failure (LOF) analysis for prioritizing infrastructure replacement.Robust GIS tools for modeling pipe failure prediction use kernel density and hotspot analysis but also require good data stewardship and sound practice.A GIS-based LOF model without using artificial intelligence/machine learning can improve decision reliability for water main replacement programs.