Leveraging Infrastructure Management Systems. Andrea Becker, MASc, P.Eng. Doug Manarin, P.Eng. Engineering 1 Services
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1 Leveraging Infrastructure Management Systems Andrea Becker, MASc, P.Eng. Doug Manarin, P.Eng. Engineering 1 Services
2 PRESENTATION AGENDA Engineering s Asset Management Strategy and Framework Integrated Infrastructure Management System Multiple Criteria Decision Making Pilot Project with Streets Pavement Assets Lessons Learned and Moving Forward 2
3 CITY OF VANCOUVER OVERVIEW Population 603,500 (2011) 115 km 2 Constrained land base, built out, redevelopment $14B of Public Works assets About 74% of City-wide asset pool 3
4 ASSET MANAGEMENT STRATEGY Adapted from Federal Infraguide and AM best practice research 4 Basic AM
5 INTEGRATED INFRASTRUCTURE MANAGEMENT SYSTEM - Asset Centric Approach GIS Database Mapping (VanMap) Asset Record Created & Updated Topobase New Assets Created Design/ Survey (AutoCAD) Asset Record Created & Updated Updated Asset Information Hansen Asset Registry Work Management Work History Service Requests Performance Measurement Operational Planning Reporting Service Request Info Status Updates Cost Information Cost Estimates Material Requests 311 / Lagan SAP 5
6 DECISION MAKING FRAMEWORK EVOLUTION Then Now Asset decisions based on limited data Condition/Age Focus LOS LCA Decision Service Life Risk & Criticality 6
7 MULTI-CRITERIA DECISION MAKING Customer Surveys Internal Focus Groups Analysis LOS Condition LCA O&M, Renewals Treatment Alt s NPV / EAC B/C Method Socio- Economic User Info Priorities Work History and Decision Asset Registry and GIS Multiple Asset Coordination Analyzing performance and families Degradation Curves Service Life Financials Risk & Criticality Risk Ranking Critical Asset Factor / Priority 7
8 PILOT PROJECT Streets Pavement Assets 2100 km Streets 121km Regional 243 km Arterial / Collector 1056 km Local Streets 650 km Lanes $ 4 Billion Replacement Value Surface $750 M Annual Rehab Budget ~$10 Million Network PCI ~ 70 Age ~ 34 Years
9 PILOT PROJECT Level of Service 9
10 PILOT PROJECT Level of Service Very Good Good Fair Poor Very Poor 10
11 PILOT PROJECT Level of Service Very Good Good Fair Poor Very Poor 11
12 PILOT PROJECT Service Life ~13-30 Years ~5-8 Years??? Years Very Good Good Fair Poor Very Poor 12
13 PILOT PROJECT Life Cycle Focus on next action vs cradle to grave life cycle optimize OM&R Evaluated Treatment Alternatives (EAC) Determined Treatment Windows (LOS, Service Life, EAC treatment costs) Economic cut-offs Performance cut-offs Service Level implications Local Patching Thin Lift Overlay $90/m2 10 Year Service Life EAC (4%) - $11.10/yr $15/m2 10+ Year Service Life EAC (4%) $1.85/yr 13
14 Pavement Condition Index PILOT PROJECT Life Cycle Benefit-Cost Theory Established Asset Base Forward Looking Analysis Multiple treatment options Quality of Service over time Total Cost for each option Optimize performance and life cycle costs $ $ Pavement Age $ 14
15 PILOT PROJECT Life Cycle Benefit-Cost Theory ~30 Years ~9 Years - Public Complaints Rising - Future TLO Performance? Very Good Good Fair Poor Very Poor
16 Likelihood Insignificant Minor Moderate Major Catastrophic PILOT PROJECT Risk/Criticality Understanding Priorities Risk and Criticality Risk Consequence Rare L L M M H Unlikely L L M M H Possible L M H H H Likely M M H H VH Almost Certain M H H VH VH Assessing a Risk Rating for Assets Relative / Global 16
17 BRINGING IT ALL TOGETHER Decision Modelling Use criteria to identify needs Prioritize what to do Leverage our integrated IM System Applied our theory with the Hansen Advanced Asset Analysis tools 17
18 DECISION MODELLING - Hansen Advanced Asset Analysis Technical Analysis Decision Tree - Treatments / Timing - Performance - Economics - Risk / Priorities - Analysis Period - Treatment Selection (B/C) - Unconstrained Results Needs Analysis Recommended Treatments Result Node - Multiple Activities - Benefit - Cost - Timing - Constrained Results - Funding Rules, Multi-Year - B/C Ranking Unfunded Activities Deferred Budget Analysis 18
19 DECISION MODELLING - Hansen Advanced Asset Analysis 19
20 DECISION MODELLING - Candidates Asset Data 20
21 DECISION MODELLING - Candidates Asset Data Preventative Mtce (Crack Sealing) 21
22 DECISION MODELLING - Candidates Asset Data Preventative Mtce (Crack Sealing) Corrective Mtce (Patching) 22
23 DECISION MODELLING - Candidates Asset Data Preventative Mtce (Crack Sealing) Corrective Mtce (Patching) Rehabilitation (Paving) 23
24 DECISION MODELLING - Funding Choices/Impacts Decision process for each asset Optimize treatments for the network Competing for funding with other priorities Inform/show impacts of funding choices 24
25 DECISION MODELLING - LOS/Condition Projections 25
26 DECISION MODELLING - LOS/Condition Projections 26
27 DECISION MODELLING - LOS/Condition Projections 27
28 DECISION MODELLING - LOS/Condition Projections 28
29 DECISION MODELLING - LOS/Customer Complaint Projections 29
30 $280,000 + $340,000 + $490,000 DECISION MODELLING - LOS/Reactive Maintenance Projections 30
31 ASSET MANAGEMENT FRAMEWORK Leveraging IMS for Decision Support Then Limited network data Mainly subjective Expert opinion Perceived problems/priorities Manual review and coordination Silo approach Focus on priority Now Consistent approach Centralized, accessible, reliable network data Centralized coordination Imbedded expertise Quantitative condition and maintenance information Multiple criteria approach 31
32 ASSET MANAGEMENT STRATEGY - Moving Forward Developed the Framework Tested the Structure and the Building Blocks Demonstrate how AM can help support our decisions Extending to Sewer and Water AM Plans (core review) Detailed Analysis Spatial Analysis and Data Links Multi-Asset Coordination and Optimization 32
33 CITY OF VANCOUVER ASSET MANAGEMENT For more information: Andrea Becker Doug Manarin Upkar Matharu 33
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Glossary GLOSSARY Advanced Construction (AC): Authorization of Advanced Construction (AC) is a procedure that allows the State to designate a project as eligible for future federal funds while proceeding
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