A spatial data-driven decision analysis of pipe failure management in water supply system

Sustainable management of water supply system not only requires new methodologies to monitor, repair, or replace the aging infrastructure, but more importantly, must be able to assess the condition of the networks and predict their behavior. Among other infrastructure systems, water supply system is...

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Bibliographic Details
Main Authors: Nugroho, W., Utomo, C., Iriawan, N.
Format: Conference Proceeding
Language:English
Subjects:
Decision analysis
Decision making
Failure analysis
Infrastructure
Pipes
Poisson density functions
Regression models
Repair
Spatial data
Statistical analysis
System effectiveness
Water pipelines
Water supply
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Summary:Sustainable management of water supply system not only requires new methodologies to monitor, repair, or replace the aging infrastructure, but more importantly, must be able to assess the condition of the networks and predict their behavior. Among other infrastructure systems, water supply system is one of the most critical civil infrastructure systems. Therefore, effective maintenance, repair, and updating of the physical assets on the system are essential, especially in locations where there is the potential for widespread failure. This paper aims to develop a spatial data-driven framework for decision-making analysis in water pipe failure management by focusing on the physical and operational aspects. This study analyzes spatial quantities on each variable that affects pipe failure in the water service zone. The non-homogeneous Poisson process is proposed as the failure point pattern approximation. The spatial Poisson regression model accommodates two cluster characters influenced by different variables and implies various treatment actions.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0139420