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The developing optimum maintenance cost model for water pipe network by waterworks business characteristics

수도사업자의 경영환경을 고려한 상수도관망 적정 유지관리비 산정 모델 개발 연구

  • Received : 2017.01.23
  • Accepted : 2017.02.06
  • Published : 2017.02.28

Abstract

For the asset management of a water pipe network, it would be necessary to understand the extent of the maintenance cost required for the water pipe network for the future. This study would develop a method to draw the optimum cost required for the maintenance of the water pipe network in waterworks facilities to maintain the aim revenue water ratio and to achieve the target revenue water ratio, considering the water service providers' waterworks condition and revenue water ratio comprehensively. This study conducted a survey with 96 water service providers as of the early 2015 and developed models to estimate the optimum maintenance cost of the water pipe network, considering the characteristics of the water service providers. Since the correlation coefficient of all the developed models was higher than 0.95, it turned out that it had significant reliability, which was statistically significant. As a result of applying the developed models to the actual water service providers, it was drawn that increasing revenue water ratio to more than a certain level can reduce the maintenance cost of the water pipe network by a great deal. In other words, it is judged that it would be the most efficient to secure the reliability of waterworks management by increasing the short-term revenue water ratio to more than a certain level and gradually increase the revenue water ratio from the long-term perspective. It is expected that the proposed methodology proposed in this study and the results of the study will be used as a basic research for planning the maintenance of water pipe network or establishing a plan for waterworks facilities asset management.

Keywords

References

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Cited by

  1. 수도사업자의 장래 재정계획과 연계한 상수도시설의 최적 개량계획 수립 모델 개발 연구 vol.31, pp.2, 2017, https://doi.org/10.11001/jksww.2017.31.2.149