This session showcases the latest advances of the state of the practice in asset management including climate change adaptation, cross-asset resource allocation, asset management plan development, performance-based planning, life-cycle analysis tools, and emerging data collection techniques.
Integrating Assets Vulnerable to Sea Level Rise and Extreme Weather Events into Ongoing Structural Review Decisions at Maine Department of Transportation
Samuel Merrill, GEI Consultants, Inc.Show Abstract
Judy Gates-Kilpatrick, HNTB Corporation
Alexander Gray, GEI Consultants, Inc.
MaineDOT has identified coastal bridge and culvert
features along its coastal assets that are vulnerable, sensitive, and critical
according to a range of technical, environmental, bureaucratic, and economic
risk metrics. For the most critical assets it has then identified which
engineering designs would be good investments given extreme weather scenarios in
both coastal and inland areas, across possible environmental futures. The
current project goes farther, using GIS to incorporate lessons from these
efforts into ongoing asset management so that similar benefits can accrue to
larger numbers of vulnerable assets on an ongoing basis. We report on 1) a GIS
overlay method developed to be easily communicable between DOT programs and
replicable each year as part of developing the next work plan iteration and 2)
efforts to use results from the method to identify immediate and longer term
actions to enhance resiliency of vulnerable road segments, bridges, and
culverts. Lessons are drawn about fitting such targets into existing agency
processes, satisfying federal requirements for risk-based asset management, and
taking advantage of existing expertise.
Strategies to Enhance Implementation of Infrastructure Asset Management in Developing Countries
Wesam Beitelmal, Misurata UniversityShow Abstract
Keith R. Molenaar, University of Colorado, Boulder
Omar Smadi, Iowa State University
Infrastructure around the world is deteriorating. This is particularly true in developing countries where systems to manage infrastructure assets are immature or nonexistent. Based on the successful implementation of infrastructure asset management in developed countries, there are promising approaches to address the difficulties faced by developing countries’ infrastructure organizations and their managers. This paper presents an infrastructure asset management organizational model to help developing countries decision makers explore the impact of different strategy alternatives on the organization’s performance in a variety of external conditions. These decisions will support managers in their effort to successfully implement infrastructure asset management in their organizations. This study begins by classifying countries into three classes based on the external conditions: supportive, intermediate, or unsupportive environments. The research then applies a cross-impact analysis model that simulates the impacts of strategy alternatives, drivers and processes on outcome measurements given this variety of external conditions. The findings showed that organizations in each class should focus on implementing a specific strategy correlating to the external variables conditions. For instance, organizations that work in an intermediate environment should build a strong communication networking strategy prior to investing in organizational support or organizational structure strategies.
Utility-Based Asset Valuation Approach to Cross Asset Resource Allocation Considering Efficiency and Equity
Juan Diego Porras-Alvarado, WSPShow Abstract
Zhe Han, University of Texas, Austin
Zhanmin Zhang, University of Texas, Austin
One of the main concerns with the TAM framework and its implementation by transportation agencies is the absence of an organized process for cross-asset resource allocation. Decisions on how to allocate resources across various asset groups involve some trade-off analysis. However, quantitative trade-off frameworks and tools that handle multiple asset performance objectives are scarce. Moreover, in cross-asset resource allocation, providing a procedure to compare the assets, their performance, and their relative importance is critical in developing efficient allocation strategies. Additionally, most of the alternative methods for funding allocations focus on maximizing infrastructure performance, but ignore the consideration of equity. Equity considerations often influence allocation decisions; therefore, the impact of equity should be considered in funding allocation mechanisms. For these reasons, the objective of this study is to develop a methodological framework for asset value-based cross-asset resource allocation. The resource allocation model is developed using a multi-objective optimization formulation that integrates efficiency and equity considerations. Moreover, a utility-based asset valuation methodology is integrated into the multi-objective optimization to accommodate asset valuation concepts into the optimization resource allocation model. Two asset groups, pavements and bridges, from the roadway network of Travis County located in Texas were used to demonstrate the applicability of the proposed methodological framework. The proposed methodological framework provides the means to conduct trade-off analysis between programs or asset classes in terms of asset value, efficiency, and equity, breaking down the “siloed” traditional resource allocation mechanism and moving towards an integrated resource allocation approach based on system performance.
Comprehensive Review of Approaches Used by Ontario Municipalities to Develop Road Asset Management Plans
S. Madeh Piryonesi, University of TorontoShow Abstract
Tamer El-Diraby, University of Toronto
Sherif Kinawy, KPMG
Municipal asset management gained momentum in Canada over the past two decades. Ontario provincial government has tied provincial funding to development of asset management plans. Accordingly, all municipalities are required to develop a detailed asset management plan to facilitate access to provincial funding. Nonetheless, asset management knowledge is nacent in Ontario. Considerable variances are discernable in asset management plans in the wake of various aptitudes of municipalities as well as lack of a standardized template. Hence, analyzing these plans could be highly rewarding and the results could be used for identifying needs of municipalities and exposing gaps in provincial support programs.
In this paper a comprehensive study is conducted on current infrastructure asset management plans in Ontario with emphasis on the road sector. A sample of 24 municipalities was selected for this study. Careful consideration was given to choosing rural and urban municipalities with different sizes, from different areas of the province and with different experiences in asset management. Moreover, some interviews were conducted to elicit a deeper understanding of the tools and methods used by the municipalities.
The aim of this study is discerning the defects in the status quo of the asset management plans and setting future targets. For this purpose the plans were analyzed and rated from different perspectives (e.g. structure, data collection methods, deterioration modeling and cost estimation). The differences and similarities among the employed decision-support tools were highlighted. Finally, a number of recommendations are made to enhance the different components of the asset management plans.
Comparison of Life-Cycle Assessment Tools for Road Pavement Infrastructure
Joao SantosShow Abstract
Senthilmurugan Thyagarajan, Engineering and Software Consultants, Inc.
Elisabeth Keijzer, TNO
Rocío Fernández Flores, ACCIONA S.A.
Gerardo Flintsch, Virginia Polytechnic Institute and State University
Road pavements have considerable environmental burdens associated with their initial construction, maintenance and usage, which has led the pavement stakeholder community make congregate efforts to better understand and mitigate these negative effects. Life cycle assessment (LCA) is a versatile methodology to quantify the effect of decisions regarding the selection of resources and processes. However, there is a considerable variety of tools for conducting pavement LCAs. The objective of this paper is to provide the pavement stakeholder community with insights on the potential differences in the life cycle impact assessment results of a pavement by applying American and European LCA tools, namely PaLATE V2.2, VTTI/UC asphalt pavement LCA model, GaBi, DuboCalc and ECORCE-M, to a Spanish pavement reconstruction project. Construction and maintenance life cycle stages were considered in the comparison.
Based on the impact assessment methods adopted by the different tools, the following indicators and impact categories were analyzed: energy consumption, climate change, acidification, eutrophication and photochemical ozone creation. The results of the case study showed that it is of crucial importance to develop (1) a more standardized framework for performing a LCA of road pavement that can be adapted to various tools and (2) local databases of materials and processes, which follow national and international standards.
Highway Asset Inventory Data Collection Using Airborne Lidar
Yi He, Utah State UniversityShow Abstract
Ziqi Song, Utah State University
Zhaocai Liu, Utah State University
Highway assets, including traffic signs and signals, light poles, guardrails, culverts, are essential components of transportation networks. They guide, warn, and protect drivers and regulate traffic. To manage and maintain the regular operation of the highway system, state departments of transportation (DOTs) need reliable and up-to-date information about the location and condition of highway features. Different techniques have been employed to collect highway inventory data. These techniques range from the simplest manual inventory method to methods that involve advanced technology, e.g., light detection and ranging (LiDAR). The focus of this paper is to analyze the capability and strengths of airborne LiDAR in highway inventory data collection. A field experiment was conducted to collect airborne LiDAR data, and an ArcGIS-based algorithm was proposed to process the data. The results demonstrate the effectiveness of our proposed algorithm as well as the feasibility and high efficiency of airborne LiDAR for highway inventory data collection.
Long-Term Planning Tool for Pavement Assets
Thomas Wilson, Applied Research Associates, Inc. (ARA)Show Abstract
Steven Gillen, Illinois Tollway
William Vavrik, Applied Research Associates, Inc. (ARA)
One of the primary challenges for any transportation agency is to balance and prioritize their needs with respect to maintaining and upgrading their infrastructure assets. For an agency like the Illinois Tollway, the need to align incoming revenue with future maintenance, rehabilitation, capacity enhancements, and reconstruction for their pavements has led to the development of the Pavement Asset Master Plan (PAMP).
The PAMP contains basic information about every segment of the Tollway network, its past and current condition, recent traffic levels, and future anticipated maintenance, rehabilitation, and reconstruction activities. The future activities are specific to the mainline and shoulders and are based on predicted performance which was generated using the AASHTO PavementME software, actual experience of pavement performance over time which is based on the Tollway’s pavement management system data collected over the past 15 years, and engineering judgement.
Since the original version of the PAMP was created five years ago, it has become an important resource for communicating the plan for how Tollway pavements will be maintained and rehabilitated, and it has become an integral part of the long-range planning and budgeting activities at the Tollway. Future enhancements may include the development of a version of the PAMP for all of the Tollway ramp pavements and a bridge PAMP for the 600-plus structures that are part of the Tollway network.
Development of a Performance-Based Model to Integrate Guardrail System Preservation Policies into Asset Management Practices
Shahrouz Jafarzade Ghadimi, University of Texas, El PasoShow Abstract
Sandra N. Gutierrez, University of Texas, El Paso
Carlos Chang Albitres, University of Texas, El Paso
Asset management (AM) provides a strategic framework for infrastructure systems with the aim of getting the most of the performance for the allocated resources. To determine future budget needs, highway agencies must have the necessary data and analytical tools to predict the performance of highway assets over time. At present, transportation asset management systems are at different maturity levels, pavement and bridges are considered the “big ticket” among all highway assets but the preservation of signs, signals, lighting, guardrails, and pavement markings is also crucial to protect road users. In spite of its importance, one of the safety assets with less asset management analytical tools is guardrail systems. Transportation agencies typically only replace or repair guardrails that have received major damage due car crash accidents. To implement a proactive preservation program, in agreement with transportation asset management practices, there are number of parameters needed including an inventory, current guardrail condition, and performance models to forecast changes in the guardrail system condition over time. The objective of this paper is to describe a performance-based model with an analytical method to formulate a proactive preservation program for guardrail systems. The model is developed from inventory data and predicts changes in the guardrail system condition over time. A case study is also presented to estimate the annual agency costs and backlogged costs over a period of 10 years. This model can be integrated into an asset management system to facilitate the formulation of preservation programs for guardrail systems at the strategic level.
Developing Condition-Based Triggers for Pavement Maintenance Rehabilitation and Replacement Treatments: Framework
Yu Qiao, Purdue UniversityShow Abstract
Samuel Labi, Purdue University
Jon D. Fricker, Purdue University
Zhibo Zhang, Purdue University
Bismark Agbelie, Catholic University of America (CUA)
Asset managers have long relied on their experience and subjective judgment to determine when or at what condition to conduct asset maintenance, rehabilitation and replacement (MR&R) work. This paper focus on developing a framework for determining the condition-based optimal timing for the application of various MR&R treatments to flexible and rigid pavements. Fourteen different types of pavement treatments are considered in this research as commonly-used pavement MR&R treatments in the state of Indiana. The optimal IRI threshold of each treatment was determined through analytical approaches, including treatment-specific performance jump models, post-treatment pavement deterioration models, cost models, and optimization of cost-effectiveness. The life-cycle cost analysis incorporates both agency costs (AC) and user costs (UC). Sensitivity analysis indicates that changing the relative weights of agency and user costs has a significant impact on the optimal trigger. As the AC:UC ratio increases, the optimal trigger IRI increases. The sensitivity analysis results in term of other important variables (e.g., traffic load, discount rate, IRI upper bound and pre-treatment performance curve) are also provided. The data-driven approaches and results of this paper can help agencies enhance their pavement MR&R decisions in terms of the performance threshold of each individual pavement treatment as well as long-term MR&R scheduling.