Level of Service Based Methodology for Municipal Infrastructure Management

Authors: Z. Khan, O. Moselhi, T. Zayed

Abstract:

Development of levels of service in municipal context is a flexible vehicle to assist in performing quality-cost trade-off analysis for municipal services. This trade-off depends on the willingness of a community to pay as well as on the condition of the assets. Community perspective of the performance of an asset from service point of view may be quite different from the municipality perspective of the performance of the same asset from condition point of view. This paper presents a three phased level of service based methodology for water mains that consists of :1)development of an Analytical Hierarchy model of level of service 2) development of Fuzzy Weighted Sum model of water main condition index and 3) deriving a Fuzzy logic based function that maps level of service to asset condition index. This mapping will assist asset managers in quantifying condition improvement requirement to meet service goals and to make more informed decisions on interventions and relayed priorities.

Keywords: Asset Management, Level of Service, Condition Index, Analytical Hierarchy, Fuzzy Logic.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079464

References:

[1] InfraGuide, "Managing Infrastructure Assets." DMIP Best Practice, National Research Council of Canada, 2004, Ottawa, Canada.
[2] O. Moselhi, "Decision making and investment planning -Workshop I." DMIP Best Practice, National Research Council of Canada, 2005, Ottawa, Canada.
[3] InfraGuide, "Coordinating Infrastructure Works." DMIP Best Practice, National Research Council of Canada, 2003, Ottawa, Canada.
[4] InfraGuide, "Managing Risk." DMIP Best Practice, National Research Council of Canada, 2006, Ottawa, Canada.
[5] B. Rajani, and Y. Kleiner, "Non-destructive inspection techniques to determine structural distress indicators in water mains" NRCC-47068, Evaluation and control of water loss in urban networks, 2004, Valencia, Spain, pp. 1-20.
[6] J. M. Yan, and K. Vairavamoorthy, "Fuzzy approach for pipe condition assessment." Conf. Proc., 2003 Int. Conf. on Pipeline Engineering and Construction, ASCE, New York, pp. 466-476.
[7] K. J. Schmucker, "Fuzzy set, natural language computations and risk analysis". Computer Science Press, 1984, Rockville, Mass.
[8] W. Dong, and F. S. Wong, "Fuzzy weighted averages and implementation of the extension principle." J. Fuzzy Sets and Systems, 1987, vol.21 no.2, pp. 183-199.
[9] T. Saaty, "Decision-making with dependence and feedback: The analytic network process." 1991, RWS, Pittsburgh.
[10] T. L. Saaty, "Fundamentals of decision-making and prioritytheory", 2001, RWS, Pittsburgh.
[11] K. Dey, "Analytic hierarchy process analyzes risk of operating crosscountry petroleum pipelines in India." Nat. Hazards Rev., 2003, vol.4, no.4, pp. 213-221.
[12] T. Tran, H. Malano, and R. Thompson, "Application of the analytical hierarchy process to prioritize irrigation asset renewal: The case of the La Khe irrigation scheme, Vietnam." J. Eng., Constr., Archit. Management, 2003, vol. 10, no.6, pp. 382-390.
[13] B. Zahraie, M. Karamouz, R. Kerachian, and M. Asadzadeh, "Evaluation of water sector performance: A case study." Conf. Proc., EWRI 2005: Impacts of Global Climate Change, ASCE, New York, 1- 12.
[14] T. Saaty, "Decision-making for leaders: The analytic hierarchy process for decision in a complex world." Lifetime Learning, 1982, Belmont, Calif.
[15] T. Zayed, and D. Halpin, "Quantitative assessment for piles productivity factors." J. Constr. Eng. Manage., 2004, vol.130, no3, pp. 405-414.
[16] D. J. Elton, and C.H. Juang, "Asphalt pavement evaluation using fuzzy sets." Transp. Res. Record, 1196, 1998, pp. 1-7.
[17] C.H. Juang, "A performance index for the unified rock classification system." Bull. Assoc. of Engineering Geologists, 1990, vol. 27, no.4, pp. 497-504.
[18] S. Murthy, and K. C. Sinha, "A fuzzy set approach for bridge traffic safety, evaluation," Transportation Research Board, 1990, Washington, D.C.
[19] L.A. Zadeh, "The role of fuzzy logic in the management of uncertainty in expert systems." Fuzzy Sets & Systems, 1983, vol. 11, pp. 199-227.
[20] L.A. Zadeh, "Fuzzy sets." Information and Control, 8, 1965, pp. 338- 353.