Richard Boadi

Managing Ancillary Transportation Assets: The State of the Practice

Historically, transportation asset management has focused more on pavements and bridges, and less on ancillary assets such as traffic signs and guardrails. This paper synthesizes the state of practice of ancillary transportation asset management to assess the needs for successful implementation of such programs by highlighting data collection strategies and costs, data analysis tools, and data use in decision making, especially as it relates to asset prioritization and quantifying the benefits of ancillary asset management. The paper focuses on 10 asset classes selected from a review of literature: culverts, earth retaining structures, guardrails, mitigation features, pavement markings, sidewalks and curbs, street lighting, traffic signals, traffic signs, and utilities and manholes. The findings indicate that a number of agencies are making significant efforts to manage these assets with a range of asset management policies, system/program integration approaches, data collection methods and costs, benefit quantification, and asset category prioritization approaches. The results highlight the state of practice of managing ancillary transportation assets, revealing the dynamic nature of these activities as agencies evolve their activities to higher levels of program maturity.

Risk-Based Corridor Asset Management: Applying Multiattribute Utility Theory to Manage Multiple Assets

Simultaneous consideration of various types of assets and investment objectives for the purpose of allocating resources more efficiently can improve the systemwide performance of the transportation system. Various studies have been conducted on the development of management systems such as those for pavements, signs, mobility, safety, and preservation. However, not as many studies specifically investigate the synergistic effects of these systems on transportation system performance. This paper develops a multiattribute utility model that identifies high-risk corridors in a transportation system for prioritization on the basis of multiple objectives and various assets. Three objectives are used in evaluating the performance of the system: minimizing the number of incidents, maximizing mobility, and improving preservation of assets. The methodology is generally applicable to system-level management of transportation systems. The model is applied to a selected corridor in the state of Georgia. Results illustrate that the developed model can aid transportation agencies in identifying high-risk corridors that degrade the performance of their transportation system. This model can be used in identifying high-risk corridors during program development.

Goal-Oriented Analysis of Transportation System Performance: A Corridor-Level Study of Georgia’s State Routes

AbstractThe concept of goal-oriented analysis of transportation system performance presented in this paper captures multiple stakeholder and sociopolitical views of system performance, while simult...