Modified sewer asset management to accommodate London’s future sustainable development
Tade, O, O'Neill, S, Smith, K, Williams, T, Ali, A, Bayyati, A and See, H (2018). Modified sewer asset management to accommodate London’s future sustainable development. International Journal of Building Pathology and Adaptation. 36 (5).
|Authors||Tade, O, O'Neill, S, Smith, K, Williams, T, Ali, A, Bayyati, A and See, H|
Purpose – This paper is about best practice in managing legacy drainage assets to support sustainable urbanregeneration.Thepurposeofthispaperisto describebestpracticesewerassetmanagement (AM) and to adjust the current reactive maintenance approach for sewers, to one that accommodates long-term operational and town planning needs. The development of an improved sewer deterioration model (DM) provided an important tool for this. Design/methodology/approach – This research adopts a mixture of qualitative and quantitative approachestoanalyseatotalnetworklengthof24,252kmwhichrepresents703,156recordsofhistoricsewer structural condition inspection data. This was used to build an improved DM. These models were used as inputs into a proactive AM approach that improves upon recommendations in the Sewerage Rehabilitation Manual developed by Water Research Centre. Findings – This is a paradigm shift and goes beyond the current culture of OFWAT (Water Services Regulation Authority) supervision, five-year asset management period and occasional environmental penalties. A new legislative model may be needed; especially because a report by UKWIR (Water Industry Research) in 2015 identified that nationally the rate of sewer network deterioration is outpacing available investment and significant health problems may arise in addition to those from developmental pressures. Researchlimitations/implications – Theauthorshaveresearchedandmanagedoldsewernetworksand present a review of the new issues raised by intensive development, particularly for the London region, but applicableelsewhere,andhowthesemustleadtoamodifiedrisk,andnovelincentive-basedapproachtoAM, if the system is not to fail. Originality/value – Large,legacydatabasesofseveraldecadesofsewernetworkperformancerecordshave beencombinedandanalysedasstratified,heterogeneoussetswithGaussiandistributions;therebyimproving on previous assumptions of homogeneous data. The resulting rigorous DMs are the foundation of new approaches to sustainable risk management of large urban networks.
|Journal||International Journal of Building Pathology and Adaptation|
|Journal citation||36 (5)|
|Digital Object Identifier (DOI)||doi:10.1108/IJBPA-06-2018-0053|
|13 Dec 2018|
|Publication process dates|
|Deposited||10 Jan 2019|
|Accepted||10 Nov 2018|
|Accepted author manuscript|
CC BY 4.0
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