Chapter
Jul 11, 2018
Pipelines 2018

Water Main Criticality Scoring and GIS Centric Risk Mitigation: Applying GIS Spatial Analysis Tools and Apps for Greater Insight for High Risk Underground Infrastructure

Publication: Pipelines 2018: Condition Assessment, Construction, and Rehabilitation

ABSTRACT

With the pressure to provide excellent services under constrained budgets, utilities are adopting asset management as the synergistic framework combining strategic and financial planning, levels of service, and risk-based analysis to determine investments. GIS (geographic information system) helps to empower a utility with the tools to drive a robust and strategic, decision making process. When a CMMS (computerized maintenance management system) has asset management functionality, the capabilities of service requests, inspections and work orders, capturing costs, and work history can be leveraged into asset condition and risk-based spatial analysis by determining what, when, why, and where the next round of investment should occur. A critical step in the process includes analyzing the data and location to potential take actions to reduce the risks. In alignment with ISO (International Standards Organization) 55000, risk is defined as the probability of failure (PoF) multiplied by the consequence of failure (CoF) which produces the business risk exposure (BRE). While calculating risk is important, the risk-based data can be used to build business cases and determine future projects. GIS can help users gain an understanding of what assets are high risk, where they are located and what factor can influence the risk. Risk-based analysis provides the reasoning for potential solutions and action. This paper defines and explores the use of GIS-centric analysis tools to enhance the asset management decision making process.

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Published In

Go to Pipelines 2018
Pipelines 2018: Condition Assessment, Construction, and Rehabilitation
Pages: 124 - 132
Editors: Christopher C. Macey, AECOM and Jason S. Lueke, Ph.D., Associated Engineering
ISBN (Online): 978-0-7844-8165-3

History

Published online: Jul 11, 2018
Published in print: Jul 12, 2018

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Authors

Affiliations

Gregory M. Baird, Aff.M.ASCE [email protected]
Infrastructure Financial Consulting, 3507 North University Ave., Suite 350C, Provo, UT 84604; Marriott School of Management, Brigham Young Univ., 730 TNRB, Provo, UT 84602-3113; Professional Water Asset Manager, Buried Asset Management Infrastructure–International, Louisiana Tech Univ., 1207 Agriculture Dr., Ruston, LA 71270. E-mail: [email protected]
Dinorah G. Sanchez, Aff.M.ASCE [email protected]
Cityworks/Azteca Systems, LLC, 11075 South State St., Suite 24, Sandy, UT 84070; Master of Public Service and Administration, Bush School of Government and Public Service, Texas A&M Univ., Allen Building, TAMU 4220, 1004 George Bush Dr. West, College Station, TX 77845; Institute of Asset Management-USA, 13530 Dulles Technology Dr., Suite 300, Herndon, VA 20171. E-mail: [email protected]
Becky Tamashasky, Aff.M.ASCE [email protected]
Cityworks/Azteca Systems, LLC, 11075 South State St., Suite 24, Sandy, UT 84070; The Charles E. Via, Jr., Dept. of Civil and Environmental Engineering, Virginia Tech College, 200 Patton Hall, 750 Drillfield Dr., Blacksburg, VA 24061. E-mail: [email protected]

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