Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/115198
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dc.contributorDepartment of Building and Real Estate-
dc.creatorTaiwo, R-
dc.creatorZayed, TM-
dc.creatorElshaboury, N-
dc.creatorAlfalah, G-
dc.creatorAbdelkader, EM-
dc.date.accessioned2025-09-15T02:22:52Z-
dc.date.available2025-09-15T02:22:52Z-
dc.identifier.urihttp://hdl.handle.net/10397/115198-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.rights© 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by- nc-nd/4.0/).en_US
dc.rightsThe following publication Taiwo, R., Zayed, T., Elshaboury, N., Alfalah, G., & Abdelkader, E. M. (2025). Promoting sustainable water distribution networks: Modeling of water pipe failure factors and modes. Cleaner Engineering and Technology, 26, 100969 is available at https://doi.org/10.1016/j.clet.2025.100969.en_US
dc.subjectClean wateren_US
dc.subjectFailure factorsen_US
dc.subjectFailure modesen_US
dc.subjectPLS-SEMen_US
dc.subjectStructural modelen_US
dc.subjectSustainable infrastructureen_US
dc.subjectWater pipe failureen_US
dc.titlePromoting sustainable water distribution networks : modeling of water pipe failure factors and modesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume26-
dc.identifier.doi10.1016/j.clet.2025.100969-
dcterms.abstractWater pipe failure significantly undermines the sustainability and resilience of water distribution networks (WDNs), leading to substantial environmental, economic, and social impacts. While previous studies have examined isolated failure factors, a comprehensive understanding of the interactions between multiple factors and their relationship with failure modes remains a critical research gap. This study addresses this gap by developing and validating an integrated framework that systematically categorizes thirty failure factors into four groups: pipe-related, operation-related, external-related, and soil-related factors. Through a global questionnaire-based survey and partial least square structural equation modeling (PLS-SEM), the study quantifies the relationships between these factors and five distinct failure modes. The results reveal that pipe age, diameter, and length are the most critical pipe-related factors; water alkalinity, leaks, and acidity dominate operation-related factors; temperature, precipitation, and frost are key external factors; and soil moisture, resistivity, and pH are crucial soil-related factors. The analysis establishes a significant relationship between failure factors and failure modes (β=0.567,p<0.05). This study provides a novel, statistically validated framework that captures the complex interactions between multiple factors and failure modes. Based on these findings, the study recommends that water utilities: (1) implement a risk-based maintenance strategy focusing on the identified critical factors, (2) develop integrated monitoring systems that track multiple failure factors simultaneously, and (3) adopt predictive maintenance approaches using the established factor-mode relationships. These recommendations provide water utilities with evidence-based strategies for infrastructure management, resource optimization, and failure prevention, ultimately contributing to enhanced WDN sustainability and resilience.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationCleaner engineering and technology, May 2025, v. 26, 100969-
dcterms.isPartOfCleaner engineering and technology-
dcterms.issued2025-05-
dc.identifier.scopus2-s2.0-105002853022-
dc.identifier.eissn2666-7908-
dc.identifier.artn100969-
dc.description.validate202509 bcch-
dc.description.oaVersion or Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe authors gratefully acknowledge the support from the Innovation and Technology Fund (Innovation and Technology Support Programme (ITSP)) under grant number ITS/033/20FP. The statements made herein are solely the responsibility of the authors, and the supporting agencies do not carry any responsibilities or liabilities related to the above findings. This work was supported by Researchers Supporting Project Number (RSPD 2025R899), King Saud University, Riyadh, Saudi Arabia.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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