TY - GEN
T1 - A spatial data-driven decision analysis of pipe failure management in water supply system
AU - Nugroho, W.
AU - Utomo, C.
AU - Iriawan, N.
N1 - Publisher Copyright:
© 2023 Author(s).
PY - 2023/4/27
Y1 - 2023/4/27
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85159793345&partnerID=8YFLogxK
U2 - 10.1063/5.0139420
DO - 10.1063/5.0139420
M3 - Conference contribution
AN - SCOPUS:85159793345
T3 - AIP Conference Proceedings
BT - Proceedings of the Symposium on Advance of Sustainable Engineering 2021, SIMASE 2021
A2 - Abdullah, Ade Gafar
A2 - Nugroho, Astri Rinanti
A2 - Miharja, Deni
A2 - Rohadi, Erfan
A2 - Triawan, Farid
A2 - Helios, Muhammad Penta
A2 - Aji, Sudi Dul
PB - American Institute of Physics Inc.
T2 - Symposium on Advance of Sustainable Engineering 2021: Post Covid-19 Pandemic: Challenges and Opportunities in Environment, Science, and Engineering Research, SIMASE 2021
Y2 - 18 August 2021 through 19 August 2021
ER -