A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The Value Proposition for Likelihood‐of‐Failure Modeling
A 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.
The Value Proposition for Likelihood‐of‐Failure Modeling
A 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.
The Value Proposition for Likelihood‐of‐Failure Modeling
Kahn, Christopher (author)
Journal ‐ American Water Works Association ; 113 ; 30-38
2021-01-01
9 pages
Article (Journal)
Electronic Resource
English
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