ARCOM

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Adewumi, A S, Onyango, V, Moyo, D and AlWaer, H (2019) A review of selected neighbourhood sustainability assessment frameworks using the Bellagio STAMP. International Journal of Building Pathology and Adaptation, 37(01), 108–18.

Agyekum, K, Blay, K and Opoku, A (2019) Mechanisms for preventing rising damp in new building infrastructure. International Journal of Building Pathology and Adaptation, 37(01), 87–107.

Blay, K, Agyekum, K and Opoku, A (2019) Actions, attitudes and beliefs of occupants in managing dampness in buildings. International Journal of Building Pathology and Adaptation, 37(01), 42–53.

Jandali, D and Sweis, R (2019) Factors affecting maintenance management in hospital buildings. International Journal of Building Pathology and Adaptation, 37(01), 6–21.

Md Ali, Z, Zawawi, R, Myeda, N E and Mohamad, N (2019) Adaptive reuse of historical buildings. International Journal of Building Pathology and Adaptation, 37(01), 54–68.

Sweis, R, Moarefi, A, Hoseini-Amiri, S and Moarefi, S (2019) Delay factors of the schedule of strategic industrial projects. International Journal of Building Pathology and Adaptation, 37(01), 69–86.

Tade, O, O’Neill, S, Smith, K G, Williams, T, Ali, A, Bayyati, A and See, H (2019) Modified sewer asset management to accommodate London’s future sustainable development. International Journal of Building Pathology and Adaptation, 37(01), 22–41.

• Type: Journal Article
• Keywords: Asset management; Service life; Maintenance and inspection; Sewers and drains;
• ISBN/ISSN: 2398-4708
• URL: https://doi.org/10.1108/IJBPA-06-2018-0053
• Abstract:
  This paper is about best practice in managing legacy drainage assets to support sustainable urban regeneration. The purpose of this paper is to describe best practice sewer asset management (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. This research adopts a mixture of qualitative and quantitative approaches to analyse a total network length of 24,252 km which represents 703,156 records of historic sewer 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. 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. The authors have researched and managed old sewer networks and present a review of the new issues raised by intensive development, particularly for the London region, but applicable elsewhere, and how these must lead to a modified risk, and novel incentive-based approach to AM, if the system is not to fail. Large, legacy databases of several decades of sewer network performance records have been combined and analysed as stratified, heterogeneous sets with Gaussian distributions; thereby improving on previous assumptions of homogeneous data. The resulting rigorous DMs are the foundation of new approaches to sustainable risk management of large urban networks.