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Ahmad, T and Aibinu, A A (2017) Project delivery attributes influencing green building project outcomes: A review and future research directions. Built Environment Project and Asset Management, 7(05), 471-89.
Alashwal, A M and Chew, M Y (2017) Simulation techniques for cost management and performance in construction projects in Malaysia. Built Environment Project and Asset Management, 7(05), 534-45.
Almarri, K and Boussabaine, H (2017) Interdependency of the critical success factors and ex-post performance indicators of PPP projects. Built Environment Project and Asset Management, 7(05), 546-56.
Ekanayake, E M A C and Sandanayake, Y G (2017) LIVE approach: Lean integrated value engineering for construction industry. Built Environment Project and Asset Management, 7(05), 518-33.
Liyanage, C, Dias, N, Amaratunga, D and Haigh, R (2017) Current context of transport sector in south Asia: Recommendations towards a sustainable transportation system. Built Environment Project and Asset Management, 7(05), 490-505.
Victoria, M F, Perera, S, Davies, A and Fernando, N (2017) Carbon and cost critical elements: A comparative analysis of two office buildings. Built Environment Project and Asset Management, 7(05), 460-70.
Zamenian, H, Choi, J, Sadeghi, S A and Naderpajouh, N (2017) Systematic approach for asset management of urban water pipeline infrastructure systems. Built Environment Project and Asset Management, 7(05), 506-17.
- Type: Journal Article
- Keywords: asset management,preventive maintenance,geographical information systems,underground infrastructure systems,urban infrastructure,water pipeline network
- ISBN/ISSN:
- URL: https://doi.org/10.1108/BEPAM-01-2017-0005
- Abstract:
Purpose The purpose of this paper is to develop a systemic approach to evaluate physical condition of water pipeline infrastructure with limited condition assessment data that can help asset managers prioritize capital investments in maintenance projects for urban water pipeline systems. Design/methodology/approach Spatial pattern analyses are conducted in this research to find the spatial pattern of the service life of pipelines. Based on the spatial relationship, the critical areas where groups of pipelines with short service life are likely to be found were located using spatial statistical analyses. A visualized platform was also developed and used to validate the implementation of the proposed approach with the case study of urban water pipeline infrastructure in a city in the Midwest region of the USA. Findings The results of the spatial pattern analyses reveal that water pipelines are spatially clustered based on their service life. Further, it was found that on average the pipelines in the center of a city have longer service life while the average expected service life of the pipelines in the marginal areas is shorter. The interpolation method produced raster data with continuous information about the service years of pipelines that are useful for asset maintenance planning. Originality/value With the limited data, the proposed approach enables identification of the critical area of water pipelines with the likelihood of shorter service life. This result can be used as a priority rule for a rehabilitation plan and contributes to shifting from a responsive to a preventive approach in underground asset management.