Table of Contents

Executive Summary

Scan Team
General Observations
Lessons for the United States
Implementation Strategies, Dissemination, and Recommendations

Chapter 1: Introduction

Scan Team
Scan Study
Report Organization

Chapter 2: National Experience with Asset Management

England
New Zealand

Chapter 3: State/Provincial Experience with Asset Management

Alberta, Canada
New South Wales, Australia
Queensland, Australia
Victoria, Australia

Chapter 4: Local Experience with Asset Management

Brisbane, Queensland, Australia
Edmonton, Alberta, Canada
London, England

Chapter 5: Associations and Support Groups for Asset Management

Austroads
National Asset Management Steering Group
County Surveyors' Society

Chapter 6: General Observations

Leadership and Organization
Asset Management's Role in Decisionmaking
Technical Approaches and Data Use in Asset Management
Program Delivery
Human Resources

Chapter 7: Lessons for the United States

Chapter 8: Implementation Strategies

Short-Term Strategies
Long-Term Strategies

Appendix A: Scan Team Members

Appendix B: Amplifying Questions

Appendix C: Asset Management Job Descriptions, Transit New Zealand

Appendix D: Network Management Area Plan, Transit New Zealand

Appendix E: Asset Management Strategy Template, New South Wales Treasury

Figures

Figure 1. Asset management practice in England's Highway Agency.
Figure 2. Highways Agency Pavement Management System (HAPMS).
Figure 3. Desired structure of a future asset management system for the Highways Agency.
Figure 4. Similar to other countries, England has significant challenges maintaining the condition of historic bridges.
Figure 5. Calculation of risk of failure for structures in England.
Figure 6. Bridge condition distribution, Network Rail, England.
Figure 7. Organizational structure for transportation in New Zealand.
Figure 8. Transit New Zealand's asset management process.
Figure 9. Business model of asset management in New Zealand.
Figure 10. Use of performance measures in Transit New Zealand.
Figure 11. Network rutting reporting in New Zealand.
Figure 12. Current and future systems configuration at Transit New Zealand.
Figure 13. Core work processes in TIMS in Alberta.
Figure 14. Buildup of candidate improvement road sections in Alberta.
Figure 15. BEADS components in Alberta.
Figure 16. Alignment among Corporate Plan, Results/Services Plan, and Asset Strategy at the Roads and Traffic Authority.
Figure 17. Decisionmaking structure for asset management in New South Wales.
Figure 18. Examples of Roads and Traffic Authority performance measures.
Figure 19. Results from the New South Wales integrated asset management system.
Figure 20. Similar to other Australian states, Queensland has numerous timber bridges that present important challenges to its asset management program.
Figure 21. Road asset maintenance in the context of road system management in Queensland.
Figure 22. Strategic framework for road system management in Queensland.
Figure 23. Performance management at Main Roads in Queensland.
Figure 24. Road asset management system in Queensland.
Figure 25. Bridge asset management system framework in Queensland.
Figure 26. Condition of timber bridges in Queensland.
Figure 27. A Road Management Information System in Queensland.
Figure 28. Bridge prioritization program in Queensland.
Figure 29. Illustrative results from a Main Roads SCENARIO analysis.
Figure 30. Future asset management system at Main Roads.
Figure 31. An integrated perspective of asset management in Victoria.
Figure 32. Many Australian cities are building major new highways by tunnelling under the city, making tunnels an important component of agency and private concessionaire asset management programs.
Figure 33. Road Infrastructure Management System at VicRoads.
Figure 34. Roadside management framework at VicRoads.
Figure 35. Arterial bridge management and asset management at VicRoads.
Figure 36. Information reporting hierarchy at VicRoads.
Figure 37. Performance indicator reporting at VicRoads.
Figure 38. Targeted road information management system at VicRoads.
Figure 39. Scan team member Lacy Love (left) discusses use of the SCRIM machine to collect pavement data with a machine operator.
Figure 40. Asset management approach for toll roads in Melbourne.
Figure 41. Asset management tools for toll roads in Melbourne.
Figure 42. Asset management model in Brisbane.
Figure 43. Rutting and roughness data for Brisbane.
Figure 44. Asset management systems in Brisbane.
Figure 45. Scenario analysis in Brisbane.
Figure 46. Brisbane has devoted considerable resources to an asset management program for its sidewalks.
Figure 47. Portrayal of the extent of the infrastructure challenge in Brisbane.
Figure 48. Asset management organization in Edmonton.
Figure 49. Rating Edmonton's roads by condition, functionality, and demand.
Figure 50. Scenario analysis in Edmonton showing different condition time streams.
Figure 51. Example of risk assessment in Edmonton.
Figure 52. Streetlight inventory and condition assessment in London.
Figure 53. Asset Inventory and Management System in London.
Figure 54. Percentage of local governments using asset management systems in England.
Figure 55. Asset management framework recommended by the County Surveyors' Society in England.

Tables

Table 1. Business uses of pavement asset data in England's Highway Agency.
Table 2. Values for calculating likelihood of risk events.
Table 3. Value management scoring framework for maintenance projects in England.
Table 4. Examples of performance measures used by Transit New Zealand.
Table 5. Calculation of replacement cost.
Table 6. Comparative bridge risk scores Across Main Roads' regions.
Table 7. VicRoads' data-collection strategy for network condition and performance.

Abbreviations and Acronyms