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.
|Title of host publication
|Proceedings of the Symposium on Advance of Sustainable Engineering 2021, SIMASE 2021
|Subtitle of host publication
|Post Covid-19 Pandemic: Challenges and Opportunities in Environment, Science, and Engineering Research
|Ade Gafar Abdullah, Astri Rinanti Nugroho, Deni Miharja, Erfan Rohadi, Farid Triawan, Muhammad Penta Helios, Sudi Dul Aji
|American Institute of Physics Inc.
|Published - 27 Apr 2023
|Symposium on Advance of Sustainable Engineering 2021: Post Covid-19 Pandemic: Challenges and Opportunities in Environment, Science, and Engineering Research, SIMASE 2021 - Bandung, Indonesia
Duration: 18 Aug 2021 → 19 Aug 2021
|AIP Conference Proceedings
|Symposium on Advance of Sustainable Engineering 2021: Post Covid-19 Pandemic: Challenges and Opportunities in Environment, Science, and Engineering Research, SIMASE 2021
|18/08/21 → 19/08/21