Systematic and scientometric analyses of predictors for modelling water pipes deterioration: Fid-Bau Portal

Systematic and scientometric analyses of predictors for modelling water pipes deterioration

Shaban, Ibrahim Abdelfadeel / Eltoukhy, Abdelrahman E.E. / Zayed, Tarek

Abstract The deterioration of water pipes causes significant socio-economic and environmental burdens. Many predictors/factors are used to mitigate such problems by modelling the water pipe deterioration. However, these predictors have not been thoroughly investigated in the literature. This study adopts mixed systematic and scientometric analyses to review the predictors used in modelling water pipe deterioration. Within the study context, the predictors are categorised into pipe-related, soil and corrosion-induced, operational, and environmental. The results reveal that the pipe-related predictors have received the most attention in the reviewed studies, whereas further investigations are required to study long-term changes in the environmental-induced predictors. Accordingly, future research directions are recommended to fill these gaps (e.g., considering sustainability issues, and deploying real-time monitoring, and IoT facilities to enhance data availability. These directions greatly benefit practitioners and researchers from multidisciplinary backgrounds in research directions related to water pipes.

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Highlights • The article reviews the predictors of the water pipe deterioration models. • A three-tier methodology is used to perform the review process. • Binary response statistic is used to extract the predictors and analysis them. • The fault tree diagram captures the logic behind the effect of the predictors on the water pipe deterioration. • Research gaps are discussed, and future direction are recommended.