Level of Service Based Methodology for Municipal Infrastructure Management
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.
[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.
[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.
@article{"International Journal of Information, Control and Computer Sciences:61604", author = "Z. Khan and O. Moselhi and T. Zayed", title = "Level of Service Based Methodology for Municipal Infrastructure Management", 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.", volume = "3", number = "4", pages = "1155-10", }
