Login | Register

Community Driven Framework for Sustainable Municipal Asset Management


Community Driven Framework for Sustainable Municipal Asset Management

Khan, Zafar Ullah (2014) Community Driven Framework for Sustainable Municipal Asset Management. PhD thesis, Concordia University.

[thumbnail of Khan_PhD_S2015.pdf]
Text (application/pdf)
Khan_PhD_S2015.pdf - Accepted Version
Available under License Spectrum Terms of Access.


Best practices for municipal asset management require municipalities and communities to clearly define their expectations and to express that in terms of achievable goals for levels of service. The challenge lies in the fact that asset performance from a community perspective may be quite different from a municipality perspective. The real problem is to inter-relate these two perspectives and to determine the optimum quantity of improvement required in the condition of municipal assets to meet community expectations. The literature reveals the need for development of such methods and management tools to support solutions for sustainable municipal assets that take the above into consideration. To address these issues, a community driven level of service based methodology is developed for municipal corridor management that integrates technical and financial plans of a municipality. The concept of municipal corridor is augmented for the purpose of determining integrated repair/ rehabilitation interventions for pavement, water distribution and sewer collection assets and is termed here as municipal corridor rehabilitation. The developed methodology comprises of three phases. In the first phase, performance modelling and mapping the targeted levels of service to condition rating is developed to quantify asset condition improvement. This is achieved via three models; (1) Analytical Hierarchy model to relate Level of Service with required performance, (2) Fuzzy weighted average model to assess the capacity to deliver targeted performance and (3) Fuzzy Alpha Cut model to map the asset improvement requirement and asset capability. The output of this phase is fed into the second phase, where prioritization of corridors’ intervention plans is established, using an Artificial Neural Network model. In the last phase, the outputs of the preceding two phases are utilized as input to develop a Goal Programming based optimization model which generates optimised intervention plans of municipal corridors. The developed methodology was applied to a case study in the City of Riyadh in KSA to demonstrate its use and to illustrate its capabilities. The results obtained were found acceptable by management of that city. The case demonstrated the flexibility and utility of the developed methodology and its models in support of integrated optimized intervention plans for water, sewer and municipal roads.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering
Item Type:Thesis (PhD)
Authors:Khan, Zafar Ullah
Institution:Concordia University
Degree Name:Ph. D.
Program:Building Engineering
Date:June 2014
Thesis Supervisor(s):Moselhi, Osama and Zayed, Tarek
Keywords:Asset Management, Condition Rating, Corridor Rehabilitation, Level of Service, Mapping, Municipal, Sustainability,
ID Code:978837
Deposited On:19 Nov 2014 15:06
Last Modified:18 Jan 2018 17:47
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top