State Departments of Transportation (DOTs) play a critical role in the management, maintenance, and development of each state’s transportation systems. Agencies are responsible for allocating billions of dollars in public funds, ensuring that transportation networks are safe, reliable, and sustainable. However, as transportation demands increase and budgets become more constrained, there is growing pressure on state DOTs to operate with maximum efficiency while maintaining high standards of service delivery.
Organizational efficiency at state DOTs is a key factor in ensuring that dollars are used effectively and that transportation projects are completed on time and within budget. Efficiency in this context refers to an agency’s ability to optimize resources—both human and financial—to deliver transportation services in a manner that reduces waste, streamlines processes, and achieves desired outcomes. Despite its importance, measuring organizational efficiency at state DOTs remains a complex and multifaceted challenge.
Current efforts to assess organizational efficiency in transportation agencies are often limited by inconsistent metrics, varying definitions of efficiency, and a lack of standardized methodologies for evaluation. While many state DOTs track performance indicators related to project delivery, budget adherence, and staff productivity, these measures often fail to provide a comprehensive view of overall organizational efficiency. Traditional efficiency metrics may not fully capture the complexities of modern transportation agencies, which must balance competing priorities such as mobility, safety, infrastructure maintenance, sustainability, innovation, and equity.
This research aims to develop a standardized framework for measuring organizational efficiency at state DOTs. By providing clear guidance and best practices, this research will empower transportation agencies to assess their internal processes, identify areas for improvement, and enhance their operational performance. The proposed framework will also align with broader state and federal goals, ensuring that transportation agencies can demonstrate accountability, improve project outcomes, and better manage resources.
Additionally, the research will examine how emerging technologies, such as data analytics, automation, machine learning, artificial intelligence, and digital project management tools, can improve efficiency measurement and foster a culture of continuous improvement. The guidance will also address how state DOTs can incorporate efficiency measures related to sustainability and equity, which are increasingly important components of transportation planning and service delivery.
This research will provide state DOTs with the tools they need to measure and enhance organizational efficiency, resulting in more effective transportation systems that meet the needs of the public and align with long-term strategic goals.
The measurement of organizational efficiency at State Departments of Transportation (DOTs) is a growing area of interest. There has not been significant research in transportation agency organizational efficiency. The following presents resources that are broadly applicable to any organization and resources that are related to transportation.
Guidance and Resources – Not Specific to Transportation
Guidance and Resources – Transportation-Related
The objective of this research is to develop a comprehensive framework for measuring organizational efficiency at State Departments of Transportation (DOTs). This framework will provide standardized metrics and methodologies to assess and improve the internal processes, resource allocation, and overall performance of state DOTs. By identifying key areas for efficiency improvements and incorporating best practices from both public and private sectors, the research aims to empower transportation agencies to optimize operations, reduce waste, and enhance accountability. Additionally, the framework will address emerging considerations such as technology integration, sustainability, and equity, ensuring that DOTs are better equipped to meet the evolving demands of modern transportation systems while maximizing public value. In addition to the framework the research should produce tools to help state DOTs measure organizational efficiency.
Urgency:
State Departments of Transportation (DOTs) are facing unprecedented challenges, including aging infrastructure, budget constraints, increasing public demand for accountability, and the growing need to incorporate sustainability and equity into their operations. With limited resources, it is essential that state DOTs operate with maximum efficiency to ensure public funds are used effectively and that transportation projects are completed on time and within budget. Despite the importance of organizational efficiency, many state DOTs lack a standardized framework for measuring internal performance, leading to inconsistent practices and missed opportunities for improvement. As the complexity of transportation networks increases, compounded by the demands of advanced technology, climate adaptation, and equity, there is an urgent need for a robust and adaptable framework to guide DOTs in optimizing their operations.
Potential Benefits:
The development of a comprehensive framework for measuring organizational efficiency at state DOTs will offer numerous benefits, including:
By addressing these urgent needs, this research will provide state DOTs with the tools to enhance operational efficiency, ensure effective use of public resources, and adapt to the evolving demands of transportation systems in the 21st century.
Performance and risk-based approaches for managing curb space when considering adding curbside charging stations are needed by Departments of Transportation and local agencies. Challenges such as mobility resiliency, trip and fall hazards, vandalism, climate resilience, asset life-cycle planning, and comprehensive levels of service are not well understood as the nature of shared curb space is changing. New expectations for increasing transportation options such as pickup/drop-off areas as a tradeoff to parking, bike corrals and electric bike sharing stations, and the potential need to add curbside public EV charging stations add complexity to decisions transportation planners, engineers, and maintenance staff have to make to respond to travel needs.
Curb Management efficiently manages curb space for loading/unloading, ride-hailing and deliveries, and reduces double-parking and illegal stopping. Benefits include improved traffic flow and reduced congestion around busy areas like transit hubs or commercial zones. The use of MaaS and MoD, both affected by curb management, promotes integrating multiple modes of transportation (e.g., public transit, car/bike/scooter sharing, and ride-hailing) which reduces the use of single-occupancy vehicles which, in turn, reduces vehicle miles traveled (VMT), directly mitigating congestion. A performance and risk-based approach to curb management could provide the transportation industry with a good practices and effective methodologies to determine how states manage curb usage.
The objective of this research is to develop performance and risk-based approaches to curb management. The research will provide guidance and good practices to better enable DOTs in managing performance and threats added with transportation features like electric vehicle (EV) charging stations, Mobility as a Service (MaaS), and Mobility on Demand (MOD) as they compete for the same curb space as more traditional physical transportation elements such as pedestrian and vehicle parking/loading usage. The research will include the identification of good practices, necessary data to support performance and risk-based decision making, and a framework for developing performance and risk-based approaches to managing shared curb space.
There are numerous ongoing funding opportunities that states are actively implementing that demonstrate that implementation is occurring faster than approaches to good management strategies, summarized below:
The National Electric Vehicle Infrastructure (NEVI) Formula Program allocated approximately $4.1 Billion in funding to states to strategically deploy EV charging stations and to establish an interconnected network to facilitate data collection, access, and reliability. Eligible NEVI funding include:
Although proper operation and maintenance was a funding eligible activity, there was no guidance provided on how to do it, or what levels of acceptable service are.
The Charging and Fueling Infrastructure Discretionary Grant Program is allocating approximately $2.5 Billion in funding to deploy publicly accessible electric, hydrogen, propane, and natural gas fueling infrastructure along designated corridors, and within communities, that will be accessible to all drivers. Eligible activities within the Charging and Fueling Infrastructure Discretionary Grant include:
FHWA just released their National Deployment Plan for Vehicle-to-Everything (V2X) Technologies “Saving Lives with Connectivity: A Plan to Accelerate V2X Deployment” in it they discuss the current investments being made in connected infrastructure:
They also set the following goals:
The top metro areas will have the largest competition for curb space and connected infrastructure will be located in the curb. Also, Cyber Security is a highly discussed risk, and given the traditional adage that “physical access is total access” and every connected device is a potential physical access point the risks to DOT and city systems needs to be considered.
One of the two primary task for States, Local Governments, Tribes, and Public Agencies in the National Deployment Plan for Vehicle-to-Everything (V2X) Technologies is to Deploy and operate secure interoperable, cybersecure infrastructure-based V2X technologies and applications. Without understanding the risks we cannot provide for security.
Past surveys of state transportation agencies have revealed that the risk register is the most popular tool for prioritizing risks. However, risk registers, and other tools such as heat maps, do not enable an economic analysis of alternative adaptation strategies that might decrease the likelihood or consequence of future risk events. The Pipeline Hazardous Materials and Safety Administration (PHMSA) has asserted that quantitative models provide greater insights into risk and greater support for decision making, but transportation agencies have been reluctant to adopt quantitative models and probabilistic modeling to assess potential consequences associated with risk events. Common barriers include the perceived complexity of the analysis, the lack of trained personnel, and the lack of reliable data.
To help eliminate these barriers, guidance is needed to demonstrate the use of mixed-method research model and quantitative modeling techniques and data in planning investments leading to a more resilient transportation system. Several models that potentially apply including qualitative models, relative assessment/index models, quantitative system and probabilistic models. This project description emerged in part from the roadmap developed under NCHRP Project 23-09, which focuses on developing the scoping study and roadmap to develop an all-hazards risk and resilience model for highway assets.
In addition to NCHRP Project 23-09, other relevant research in this area includes:
This research will develop guidance and an enterprise risk model framework-driven process for transportation agency leadership to decide the best course of action in addressing short and long-term enterprise-level risks. This will lead to improvements in the practice of enterprise risk management through right-sizing investments in a wide array of risk mitigation strategies to avoid much higher costs tomorrow. Efforts include:
Risk, Enterprise Risk Management, Financial Planning
The 2021-2026 AASHTO Strategic Plan includes a goal related to safety, mobility, and access for everyone. Within that goal are objectives to improve asset performance and strengthen resiliency. This research will develop the framework to accomplish these objectives through more impactful investment decisions that reduce the likelihood or impact of potential risks.
As transportation agencies face wildfires, flooding, and other forms of destruction to the transportation system with more regularity and intensity, there is an increased urgency for methodologies that support modeling future uncertainties and evaluating when risks reach the point that investments in mitigation strategies are warranted to offset the potential for huge economic and social impacts. The guidance developed through this research will lead to the ability for transportation agencies to better analyze potential risks, as actuaries do regularly to support the insurance industry. The results will lead to a more resilient transportation system with fewer disruptions.
Growing concerns about equity, affordability, public health, safety, congestion reduction and environmental protection support more multimodal transportation planning and transportation demand management. Many jurisdictions have goals to improve and encourage non-auto travel. One major obstacle is the inadequacy of information on non-auto travel demands, including latent demands.
In any community a significant portion of travelers cannot, should not, or prefer not to drive and will use non-auto modes for some, most, or all their trips if those modes are convenient, comfortable, and affordable. Table 1 describes these demands and the costs imposed on users and society if those demands are not served. Communities that improve and encourage non-auto travel often experience significant increases in non-auto travel, indicating latent demands (Litman and Pan 2024).
Table 1 - Types of Non-Auto Travel Demands
In a typical community, 20-40% of travelers cannot, should not, or prefer not to drive and will use non-auto modes if they are convenient, comfortable, and affordable.
In practice, transportation planners and modelers often use incomplete data sets, such as the census commute mode share or regional travel surveys, to estimate non-auto travel demands. These surveys tend to underestimate non-auto travel demands, particularly demand for active modes (walking, bicycling and their variants) by overlooking and undercounting non-commute and off-peak trips, travel by children, recreational trips, local trips (those within a traffic analysis zone), and non-motorized links of journeys that include motorized trips. For example, a bike-transit-walk commute is usually categorized as a transit trip, and the trips between a parked vehicle and a destination are generally ignored even if they involve walking many blocks on public roads. U.S. census data indicate that only about 8% of commute trips are by non-auto modes, but more comprehensive surveys such as the National Household Travel Survey indicate that about 17% of total trips are by active modes, with higher rates in urban areas and by lower-income travelers. Because census data ignore non-commute trips, travel by children, and walking or bicycling links of journeys that include motorized trips, these modes are significantly undercounted.
For transit modes, rail and fixed-guideway modes typically have customized ridership forecasting approaches, but ridership forecasting for fixed-route bus and evolving service concepts (e.g., microtransit) can be challenging, especially for rural and small- to medium-sized agencies. Such forecasting often relies on elasticities, sketch tools, and formulas that are dated (e.g., TCRP Synthesis 66, Fixed Route Transit Forecasting and Service Planning Methods, was published in 2006) or newer tools that have not been sufficiently standardized or evaluated (e.g., projections from automatic vehicle location and automatic passenger count data, or big-data tools such as StreetLight Data and Replica).
Serving latent demands for non-auto travel can provide large benefits to the travelers who use those modes, their families and communities. Transportation agencies need better estimates of demand for such travel to incorporate into long-range and scenario plans, short-range and strategic plans, and project prioritization processes.
Various publications analyze some aspects of non-auto demands, such as travel activity by children and youths, people with disabilities, low-income households, zero-car households, visitors, and people who want more physical activity and fitness. Other studies examine demands for specific modes such as walking, bicycling, bike- and car-sharing, and various types of public transit. Some studies examine latent demands for non-auto travel and the benefits of serving currently unmet demands. However, few studies consider overall non-auto travel demands by all groups, total latent demands, and total benefits of serving them, and few documents provide technical guidance for performing such analysis.
As previously described, current analyses often rely on incomplete data, such as commute mode share, which undercounts non-auto trips, and often overlooks or underestimates latent demands for non-auto travel.
Below are some examples of current literature:
Develop guidance for more comprehensive analysis of non-auto travel demands, including latent demands.
travel demand, transportation modes, travel models, Non-auto modes, active travel, travel forecasting
This project is aligned with the AASHTO Strategic Plan’s Goals and Objectives. It aligns with transportation agencies’ efforts to better connect community, economy, land use and the environment. Improving non-auto transportation helps achieve emerging goals related to equity, social justice and public health. It’s most closely aligned with the goal of safety, mobility and access for everyone, and the objective to advance a safe multimodal transportation system. A better understanding of non-auto travel demand can lead to planning that more effectively responds to users’ needs, and provides more cost-effective investments.
There is an urgent need to better understand non-auto travel demands, including the ability to forecast future demands and the impacts of serving those demands. This study can provide large benefits by better aligning the planning and investment decisions of state DOTs and other transportation agencies with the needs and preferences of transportation system users. Many policy makers and planning practitioners recognize that a significant portion of travelers cannot, should not, or prefer not to drive and will use non-auto modes if they are convenient, comfortable and affordable, and many jurisdictions have mode shift targets, but practitioners lack the data needed to achieve these goals. Current planning practices tend to overlook and undervalue non-auto travel demands, particularly latent demands, resulting in underinvestment. Improving our understanding of non-auto travel demands can make planning and investment decisions more responsive to user and community needs.
The research would be beneficial to state DOT professionals at any level as well as transportation organization partners and stakeholders who all have a vested interest in better understanding the demand for different modes of transportation. Implementation elements include a communications plan to ensure awareness of the research and TRB, FHWA and AASHTO presentations to share the findings. Venues include workshops, peer exchanges, and committee meetings.
There are several other AASHTO and TRB committees interested in transportation’s contribution toward equity that would likely support this project, including:
AASHTO requirement for interim deliverable review:
The current draft of the problem statement is available as a word document here: https://www.tam-portal.com/wp-content/uploads/sites/12/2024/08/Non-Auto-Travel-Demands-Research-Needs-Statement-08222024.docx
• Not just the pieces, but the overall functions
• Learn from things like Baldridge, other management systems
Empathy, culture
Facilitating change management, team functions
Keeping workforce, mitigating staff turnover
Beyond organizational structure
The research question seeks to answer what is an effective performance measure for transportation resilience in a community, state, or other jurisdiction? Progress toward solving these questions has been underway for several years, though failing to reach the desired outcome. The need for this research was further reinforced during the December 2022 AASHTO conference in Providence and the January 2023 TRB annual meeting, which included a handful of workshops and sessions that broached this subject. From the perspective of high-quality performance management practice, effective measures of resilience have been elusive.
While the community has established measures of resilience for specific infrastructure, organizations, or supply chains, the metrics and definitions are lacking for community mobility. This research will focus on how best to measure it, from a state-of-the-art performance management perspective, not just the easy but low-value event or activity tallies. Consider an agency or community investing in preparedness work, infrastructure hardening, or implementing a policy shift – what is the most effective, objective, outcome-based evidence for whether the jurisdiction is now more resilient than it was a year ago? While there are seeds of ideas, questions linger and have been raised by multiple agencies, PIARC, AASHTO committees, TRB committees, and surely others.
While there are several published resources referring to resilience performance, there remains a gap in effective performance measurement that this proposed research seeks to close.
There are many laws, rules, references, and guidance documents going back many years, and right up to the current PROTECT Program guidance. The Further Consolidated Appropriations Act (2020), H.R.1865, calls on the “Secretary of Transportation to enter into an agreement with the National Academies of Sciences, Engineering, and Medicine to conduct a study through the Transportation Research Board on effective ways to measure the resilience of transportation systems and services to natural disasters, natural hazards, and other potential disruptions.”
Be wary of two tangents in literature: those focused solely on infrastructure and others about operational/organizational resilience, which are mostly unhelpful and distracting. Apart from published guidance, this research project will include a scan of select agencies to gather more evidence and examples, including efforts to integrate transportation resilience with broader initiatives like communication and energy infrastructure.
This research seeks to clarify and refine what it means to have an effective, outcome-based, high-level performance management approach to resilience. Toward this end there are three essential parts:
In addition to developed guidance, this project will pilot the implementation of a high-quality resilience performance measure into existing performance management frameworks for up to five agencies. Not only states, but MPOs, e.g. Los Angeles and San Diego have promising initiatives already developed.
resilience, resiliency, community resilience, performance management, measures, KPIs
This project would advance goals identified in the AASHTO Strategic Plan, most specifically the goal of “Safety, Mobility and Access for Everyone” that includes “strengthen resiliency.” This project would also support several strategies in the Strategic Plan, including establishing frameworks and tools to enable impactful policy decisions, supporting implementation within member agencies, advocating to minimize the impacts of climate change, and applying scenario planning to better weigh options in decision-making.
Transportation resilience continues to grow in importance and this gap in practice needs to be addressed. Beyond natural hazards, this work should address increasing system demand (e.g., growing or shifting populations), technology and mobility advancement risks (e.g., new or changing modes), and institutional issues such as risk appetites and scarce resources.
This is proposed as an implementation project for NCHRPs 23-26 Measuring Impacts and Performance of State DOT Resilience Efforts, planned to be completed by the end of 2024. It may also be done in parallel with the new 23-35 Developing New Performance Metrics for Risk Management.
This research would primarily be used by transportation agencies and others responsible for implementing resilience performance measures and management systems and build on some of the research conducted on other projects. Recently completed NCHRP Project 23-09 established a framework and research roadmap for assessing risk to agency assets and the traveling public from extreme weather, climate change, and other threats and hazards. Follow-on NCHRP Project 23-32 Asset Risk & Resilience will develop the technical resource in three phases, including planning, execution, and final product development. As described above, this research should be conducted along a parallel and complementary timeline. Critical implementation elements include a communication plan to ensure awareness of the research products and TRB, FHWA, and AASHTO webinars to share the findings. As this work emphasizes resilience measures that are outcome-based and trackable over time, implementing organizations that are expected to monitor performance over time may benefit from collaboration.
A subsequent phase of this research funded through NCHRP 20-44 may be helpful to disseminate the research findings more broadly and develop case studies showing the use of the research guidance. There are several other AASHTO and TRB committees interested in resiliency that would likely support this project, including:
The current draft of the problem statement is available as a word document here: https://www.tam-portal.com/wp-content/uploads/sites/12/2024/08/Research-Needs-Statement-for-Implementing-Effective-Resilience-Performance-August-2024.docx
i. What portion of travelers cannot, should not, or prefer not to drive and would use non-auto modes if they are convenient, comfortable and affordable.
(combined with elements of the omissions and biases in the planning process idea as appropriate. from symposium 1:
Research that combines the following two ideas:
Better understanding of non-auto travel demands. What portion of travelers cannot, should not, or prefer not to drive and would use non-auto modes if they are convenient, comfortable and affordable. This will require more detailed and targeted travel surveys, and case studies which measure the travel changes that result from non-auto improvements and incentives.
Omissions and biases in the planning process. A number of studies indicate that current planning tends to overinvest in automobile facilities and underinvest in non-auto improvements, TDM programs and Smart Growth development policies compared with what is fair and efficient. Some of these reflect the previous-describe omissions and others result from funding biases that make it much easier for public agencies to invest in highways and mandate off-street parking than to improve other modes. We need research that identifies these biases and provides a roadmap for more efficient and equitable transportation planning.)
While many states have committed to transportation equity, a critical gap exists in understanding how programs of projects contribute to achieving transportation equity. Currently, most programming uses an asset management lens, which assumes the existing system continues to meet evolving needs. However, newer state and federal goals reflect a holistic, bigger picture focus than asset management. Recent statewide multimodal transportation plans reflect this shift with ambitious safety, equity, and sustainability targets. Maintaining the current programming approach may hinder the ability to achieve these goals.
Recently, the federal government committed to the Justice 40 program which states that 40% of benefits from specific federal programs will go towards disadvantaged communities. This new federal initiative has increased interest from state DOTs in how to measure equity in transportation.
Literature exists on equity in transportation focused on policy and project decisions, or specifically federal grant programs. Research is needed that focuses on incorporating equity into broader programming decisions at state DOTs. (Note: we can add short summaries about these in further revisions to this RNS).
Existing literature about transportation equity includes:
The objective of this research is to understand how programs of projects contribute to achieving transportation equity and determine how to adjust current programming processes to achieve more equitable outcomes.
The following research tasks will support the main objective:
Transportation Equity
This project is aligned with the AASHTO Vision to provide improved quality of life through leadership in transportation and the values of diversity, equity and inclusion. The project would advance the goals and objectives identified in the AASHTO Strategic Plan. Under the goal of safety, mobility and access for everyone, nearly every objective is aligned with this research but especially advancing equity and social justice. This project would also support a number of strategies in the Strategic Plan, including developing policies and providing resources that support ensuring access to transportation systems for everyone applying scenario planning to better weigh options in decision-making.
Equity is increasingly a key goal for state DOTs and the federal government. In addition to the federal commitment to Justice 40, many state DOTs are coming to terms with their past actions that have caused harms in disadvantaged communities throughout the country and are seeking remedies. States and local communities have adopted commitments to transportation equity to address on-going inequities in transportation. The social unrest in 2020 following the murder of George Floyd showed the impact that entrenched inequities can have on the population. The resulting outrage fueled the desire for a greater focus on equity across the country.
State DOTs spend billions of dollars every year on transportation projects across the country. This investment has the ability to greatly benefit disadvantaged communities and reduce existing inequitable outcomes if DOTs and other transportation providers are able to evaluate and measure their program in regards to equity. Transportation access is necessary for employment and improved transportation access greatly improves job opportunities and access to other important destinations.
The research would be beneficial to state DOT professionals at any level as well as transportation organization partners and stakeholders who all have a vested interest in improving equity in transportation and overall. Implementation elements include a communications plan to ensure awareness of the research and TRB, FHWA and AASHTO presentations to share the findings. Venues include workshops, peer exchanges, and committee meetings.
There are several other AASHTO and TRB committees interested in transportation’s contribution toward equity that would likely support this project, including:
The current draft of the problem statement is available as a word document here: https://www.tam-portal.com/wp-content/uploads/sites/12/2024/08/Equity-in-Programming-NCHRPProblemStatement-FY26-8222024.docx
i. Research objective is to understand how owners and travelers can use AI and massive data sets during events and understand the appropriate use of the datasets (reliability, risks) *TO REFINE
Predictive maintenance
Possible synthesis?
i. The research objective is to develop a guide to identifying and managing EV, CAV risks to roadway safety infrastructure.
Changes in freight
How infrastructure moves with advancements in technology.
Implications on infrastructure
• When to determine if it is maintenance or engineering activity
• Lifecycle considerations
• BC/ROI considerations for maintenance vs engineering treatments
• Possible synthesis?
Transportation Performance Management (TPM) is a strategic approach that uses system performance data to guide decision-making and optimize the planning, operation, and maintenance of transportation networks. As states, regions, and local governments increasingly face challenges like budget constraints, aging infrastructure, population growth, and the need for sustainability, effective performance management becomes essential in ensuring that transportation investments deliver maximum value.
In the United States, federal legislation, such as the Moving Ahead for Progress in the 21st Century Act (MAP-21) and the Fixing America’s Surface Transportation (FAST) Act, has established a national framework for performance-based transportation management. These mandates have encouraged state departments of transportation (DOTs) and metropolitan planning organizations (MPOs) to adopt a performance-driven approach to managing transportation assets, reducing congestion, improving safety, and advancing environmental sustainability.
The Transportation Performance Management Blue Book is proposed as a comprehensive guide that will standardize and document best practices, metrics, methodologies, and case studies to help transportation agencies effectively implement TPM frameworks. This Blue Book will serve as a critical resource for state and local transportation agencies to benchmark their performance management efforts, identify gaps, and integrate performance management into long-term planning and investment strategies.
In addition to addressing current best practices, the Blue Book will explore emerging trends such as the integration of advanced data analytics, smart technologies, and real-time data collection systems that enhance TPM. It will also examine challenges faced by transportation agencies, such as data interoperability, funding limitations, and the need for cross-agency collaboration.
By creating this guide, the project aims to equip transportation agencies with a practical, user-friendly resource that will promote more consistent and effective transportation performance management nationwide. The Blue Book will ultimately support the development of more efficient, safe, and sustainable transportation systems.
By creating this guide, the project aims to equip transportation agencies with a practical, user-friendly resource that will promote more consistent and effective transportation performance management nationwide. The Blue Book will ultimately support the development of more efficient, safe, and sustainable transportation systems.
Guidance, Documents, Research, and Resources:
NCHRP Report 1035: Guide to Effective Methods for Setting Transportation Performance Targets
Federal Highway Administration (FHWA) - Performance-Based Planning and Programming Guidebook (2013)
FHWA Transportation Performance Management (TPM) Toolbox
FHWA: Transportation System Performance Monitoring (2015)
AASHTO - Transportation Performance Management Portal
FHWA Performance Management Guidebook (2016)
Transportation Research Board (TRB) Special Report 329: Adapting Transportation to Climate Change (2019)
NCHRP Synthesis 532: Emerging Trends in Transportation Performance Management (2019)
National Academies Press: Improving Transportation Resilience through Performance Management (2020)
Urban Institute: Equity in Transportation Performance Management (2019)
World Resources Institute (WRI): Inclusive Transportation Planning and Performance Management (2020)
NCHRP 08-127 Emerging Issues: Impact of New Disruptive Technologies on the Performance of DOTs
NCHRP Report 991: Guidelines for the Development and Application of Crash Modification Factors (2022)
NCHRP Web-Only Document 335: A Guide to Computation and Use of System-Level Valuation of Transportation Assets (2021)
Case Studies and Best Practices:
Washington State Department of Transportation (WSDOT) Gray Notebook
Virginia Department of Transportation (VDOT) Smart Scale Program
Minnesota Department of Transportation (MnDOT) - Performance Dashboard
The objective of this research is to develop a comprehensive Transportation Performance Management (TPM) Blue Book that standardizes best practices, performance metrics, and methodologies for transportation agencies across the United States. This guide will provide actionable insights to help agencies effectively implement TPM frameworks, improve decision-making, optimize resource allocation, and align with federal requirements. By addressing challenges such as data management, funding constraints, and equity considerations, the TPM Blue Book aims to support the development of more efficient, safe, and sustainable transportation systems.
Urgency:
The need for effective Transportation Performance Management (TPM) has never been more critical. With the increasing strain on transportation systems due to aging infrastructure, growing populations, and heightened demand for sustainable solutions, transportation agencies are under pressure to make more informed, data-driven decisions. Additionally, federal mandates such as MAP-21 and the FAST Act require transportation agencies to adopt performance-based management systems, adding urgency to the implementation of TPM frameworks. However, many agencies face challenges in developing standardized metrics, managing vast datasets, and aligning performance goals with long-term strategic plans. Without a comprehensive and accessible guide to TPM, agencies risk inefficient use of resources, missed performance targets, and delays in addressing critical infrastructure needs.
Potential Benefits:
The TPM Blue Book will provide transportation agencies with a standardized, user-friendly resource to guide the implementation of performance management frameworks. Key benefits of this research include:
By equipping agencies with the tools to implement effective TPM systems, this research will contribute to the development of more resilient, sustainable, and responsive transportation networks.
To successfully develop and implement the Transportation Performance Management (TPM) Blue Book, several key considerations need to be addressed throughout the research and dissemination phases:
Note: More can be added to the above list.
By addressing these implementation considerations, the TPM Blue Book can be successfully developed, adopted, and utilized across diverse transportation agencies, ensuring it provides maximum value in improving transportation system performance.
Ateeth Dhumal
i. define organizational efficiency
ii. offer varying frameworks depending how an organization/agency works (5-6 differing
iii. agency scenarios
iv. get specific metrics for organizational/agency efficiency
v. offer a toolbox that different agencies can use
vi. develop guidelines on how efficiency measures/KPIs can be used/applied
The Reason Foundation produces a ranked list of state agencies
Are there better ways to measure agency effectiveness such as data envelopment analysis
Come up with ways other ways to add value such as wanting to be able to find peer agencies to learn from?
How much money are we actually spending to manage programs?
What is the effectiveness of the funds allocated?
Want to have state legislatures understand when they are underfunding an area and know the impact of it.
• Knowledge capture of retirees and other employees
• Best practices, case studies, tools (downloadable), experts
• Practical assistance that can quickly be understood and applied (simple)
• Identifying core business functions (knowledge interviews of outgoing employees, e.g.)
• Beyond procedural documentation
i. Recommendation of strategies to address changes in workforce.
ii. Strategies on identifying issues in workforce expectations.
iii. Framework to assess organizational culture/values – Bridging gap between agency culture and new workforce hires.
iv. Comparison of public vs. private organization approaches.
from symposium 1:
How to ensure the work gets done
Understand changing demographics
Training, transition plans
Tools - best practices (broadly)
Turnover and ability to aim employees, including leadership bench strength (transitioning into leadership positions)
Scan of practice
Broadly, look at other sectors
Mindset shifts - "farm team" approach - mentoring, training, non-traditional recruitment
Workforce turn-over, workforce expectations, change in tenure, workload business process reassessment
High urgency
AASHTO Representative TBD
AASHTO
c. Research Objectives:
i. Learning how organizations can optimize the use of technologies.
ii. Leveraging technological advances to organizational needs.
Speed of Technology Change, Slowness of organization change, Adaptability, Nimble Workforce, Ability to Anticipate, Trend Identification
Urgency: Mid to high priority over a long timeframe.
Potential Benefit: Creating an adaptable workforce, streamline/improve efficiency, technology leverages the skillsets of a workforce.
AASHTO Representative TBD
AASHTO
i. Genesis/imperative for this topic: There's a lot of turn-over occurring. Losing one key player can take down an agency's TAM strategy. How to build the bench?
ii. look at agencies where AM is integrated in the business processes as examples. Policies, documents, etc. org structure
iii. how to plan for management to come?
The greatest challenge we have is changing the culture, which is something we don't do very well as engineers and planners. Is there a way to outline the process to change the culture of the organizations with regards to implementing TAM. Talk to states that have done it— what worked and didn't work? States that need culture changed are least likely to read a report on this.
AASHTO Representative TBD
AASHTO
Transportation Asset Management (TAM) approaches have been instrumental in maintaining and improving the performance of transportation systems. Over the years, state DOTs and decision-makers have benefited from a large body of knowledge generated and disseminated by peer agencies and generated refined approaches to managing their transportation systems. However, the effects of recent changes observed in external conditions may require re-orienting the strategic goals of these TAM implementations.
Climate change is threatening the resilience of our transportation network, especially in coastal and urban areas. Rising sea levels, changes to land use, deterioration of stormwater infrastructure, and changing storm and weather patterns increase the risks associated with inundation of transportation infrastructure, bridge scours, and premature pavement failures. Rural areas can also be impacted by the lack of connectivity and relatively poor conditions of bridges in these areas.
Mobility changes in traffic patterns, the vehicle fleet, and methods to pay for the system may also have an impact on decision-making within TAM. The increasing emphasis on the use of Electric Vehicles (EV) s may result in changing loading conditions due to heavier vehicle weights and reducing the availability of funds to manage transportation infrastructure. Changing vehicle loads may accelerate deterioration of assets, not yet studied broadly within the transportation sector.
As another external condition, the COVID-19 pandemic resulted in long-lasting impacts in terms of shifting travel patterns and higher demand placed on e-commerce. In some cases, services may have been reduced or eliminated requiring further assessment of how these changes in service may impact investment strategies for TAM. These changes may affect the validity of deterioration models and user cost calculation methods that are currently in use. Decision support systems for maintenance, repair, and replacement of transportation infrastructure may need major revisions in light of these changes.
In addition, consideration for the use of new methods to fund the needs of the surface transportation system through methods such as Road User Charging (RUC) or congestion pricing may influence anticipated demand for the system or distribution of travel over the same 24-hour period.
Conventional approaches to managing infrastructure may fall short in accomplishing broader goals while addressing challenges imposed by such external conditions. Therefore, there is a need for a new research effort, which will aim to conduct a nationwide scan of existing and exemplary efforts in addressing mobility and climate resilience objectives, and to develop new approaches to improving existing TAM efforts to achieve better alignment with these broader objectives.
The objectives of this project are:
Asset Management, Mobility, Climate Change, Resilience
This project is in line with AASHTO Strategic Goal of providing/improving “Safety, Mobility and Access for Everyone”. Under this goal, this project aims to address the objectives of:
Recent trends observed in the increasing frequency and severity of natural disasters and extreme weather- and climate change-related issues experienced by state DOTs increased the urgency of incorporating climate resilience into TAM strategic goals. Concerns related to satisfying mobility demands and reducing user impacts further exacerbate the urgency of these issues.
This study will provide state DOTs with theoretical and practical knowledge to align their TAM efforts with the broader objectives of improving mobility and climate resilience in their regions.
The research developed through this study will support agencies increase resilience considerations in their asset management practice. A cursory review of DOTs latest TAMPs revealed a basic incorporation of resilience considerations by agencies often noting identified threats to the system that could undermine system resilience, but lacking in tracking resilience improvements over time or methods to measure the current system resilience. This research will move toward further integrating resilience into asset management as well as decision-making.
Jacobs
Aimee Flannery
RS & H
Jennifer Gora
California DOT
Michael B. Johnson
Maryland DOT
Meredith Hill
The desired outcome and expected final product of this research is to develop a technical
memorandum that summarizes findings from a research scan of existing TSMO plans and current
emerging technology research to identify interdependencies and relationships. The goals of this
research is to: 1) provide a resource for integrating emerging transportation technologies into
TSMO planning; and 2) integrating performance management and systems impacts analysis around
emerging transportation technologies into TSMO planning. (This Research Needs Statement was drawn from a Systems Management and Emerging Technologies Research Roadmap because of its overlap with performance management.)
Current research around TSMO plans looks at feasibility, resiliency, asset management, and how some
states are integrating technology into their TSMO plans. This does not address performance measures
of technology or how TSMO plans are assessing the integration of technology. Further, existing
research in emerging transportation technologies is focused on impacts on data, workforce training,
best practices, and asset management. There is no research about determining performance measures
for these technologies or how to apply those to existing state agency efforts. There are two gaps
addressed by emerging technologies into the context of performance measurements and one that uses TSMO plans to inform that process.
Research focus areas include current standards research and emerging technology management tools, task forces, and regulations. To successfully complete this research, the following key tasks will need to be completed:
• Conduct a national scan of state TSMO plans
• Review best practices for how TSMO plans can integrate emerging transportation technologies
• Look at existing case studies of how states use their TSMO plans to test or deploy emerging transportation technologies
• Synthesize and merge research around performance metrics and management for emerging transportation technologies
• Identify applicable research conducted by USDOT and AASHTO/TRB committees
• Develop 5-6 case studies showcasing the relationship between TSMO plans and existing research
TSMO, systems operations, systems management, transportation plan, emerging technologies, performance management
TSMO plans aim to improve the efficiency of transportation systems by addressing immediate
transportation needs and efficiently planning for future goals. Further, TSMO plans are becoming a
permanent and integral part of state DOT transportation plans as they look toward the future of
transportation. The primary purposes of TSMO plans and emerging technologies are to improve safety
and one of its primary criticisms has been the lack of transparency about the direction of emerging
technologies and how guidance will be developed for those technologies. This leads to skepticism
about if these technologies will serve transportation systems and lack of trust from the public,
with an added layer of being unsure of how these technologies will be evaluated. The guidance
developed by this project can address if such technologies can be used in a way that addresses
transportation system issues, includes state and local agencies, and improves the public’s trust in
the technology. This directly supports AASHTO’s vision statement to improve quality of life, and
AASHTO’s values of safety, trust and integrity, and transparency. The research also addresses several AASHTO goals and objectives, and
strategies.
States have a clear interest in integrating TSMO plans into existing agency functions. TSMO plans are becoming core functions of transportation agencies and to permanently accommodate these programs, agencies are developing TSMO plans that outline strategic, programmatic, and tactical visions with the necessary steps to achieve this vision. This includes outlining business cases, program performance measures and goals, organizational structure, staffing and workforce needs, leadership needs, and policies for implementation. TSMO plans can build on existing research from USDOT, and AASHTO/TRB committees addressing these elements in the context of performance measures for emerging technology.
Conducting this research is important to ensure emerging technologies can be incorporated into state plans for updating transportation systems. As TSMO plans are designed to be forward thinking and implementation focused, they are well equipped to address emerging technologies from the standpoint of developing and integrating performance measures. Not conducting this research may leave a gap around implementation and require state DOT’s to evaluate proposed programs, products, and policies without an established base of metrics or guidance. Transportation agencies at the state and local levels will rely on this body of research to build out TSMO plans that quantify impacts, and eventually all road users can benefit from TSMO plans that address performance measures for emerging transportation technologies. This will also benefit the larger community of practice and merge a key focus area of state DOTs with emerging transportation technologies.
Within a state DOT, departments focused on the evaluation and integration of emerging technologies
into the transportation system will likely be responsible for using the research results. Some
state DOTs have dedicated staff focused on transportation and innovation while other DOTs have
merged this into their departments focused on Intelligent Transportation Systems.
State DOTs can use the body of research developed by this statement to modify existing TSMO plans
or develop new plans that integrate performance measures for emerging transportation technologies.
The findings from this research are also anticipated to support needed coordination across
departments when considering the evaluation and implementation of emerging technologies, including
coordination around staff working on TSMO plans and evaluating emerging transportation
technologies.
Existing venues for further discussion around the project and the findings will include AASHTO
meetings, SMET joint-subcommittee, and meetings of the Transportation Research Board. There will
also be opportunities to coordinate findings with other national organizations and the Federal
Highway Administration.
The purpose of this research is to: 1) conduct a scan of state and local agencies with documented and quantified performance measures related to the integration of technology; 2) develop a summary of such performance measures; and 3) propose a set of synthesized draft standards for CAV, ITS/TSMO, EV, SM/MoD/MaaS, and UAS/UAM projects that also align with federal requirements. (Note: This RNS has been drawn from a System Management and Emerging Technologies (SMET) research roadmap because it overlaps with Transportation Performance Management.)
Existing research in emerging transportation technologies is focused on impacts on data, workforce training, best practices, and asset management. There is some research to date around quantifying the impact of emerging technologies or determining performance measures for these technologies. Research around performance management looks at integrating performance management into processes rather than developing metrics for performance. This project will build off existing research and support development of performance measurements for emerging transportation technologies and support development of process for quantifying and evaluating impacts with considering of existing performance measure requirements, and one that develops performance measurements.
The desired outcome and expected final product of the research is to develop a technical memorandum that summarizes findings from the scan, maps the relationships and interdependence among the organizations developing and leading use of performance measures related to technology, synthesizes and recommends performance measures that align with integration of emerging transportation technologies, and identifies and recommends future research focused on use of performance measures to support continued integration of emerging technologies.
Emerging technology, connected and autonomous vehicles, zero emission vehicles, performance measures, transportation metrics, equity
One of the main promises of emerging technologies is to improve quality of life by meeting more transportation user needs, and reducing the barriers that users face daily. Further, these technologies are integral to supporting state DOTs to bring them into the future of transportation. The primary
purpose of emerging technologies is to improve safety and one of its primary criticisms has been the lack of transparency by operators leading to skepticism about operators’ integrity and lack of trust from the public. The body of research developed by this project can address if such technologies can deliver on the promise of safety, use metrics to help operators be more transparent, and improve the public’s trust in the technology. This directly supports AASHTO’s vision statement to improve quality of life, and AASHTO’s values of safety, trust and integrity, and transparency. The research also addresses several AASHTO goals and objectives, and strategies.
As emerging transportation technologies are deployed on public roads, state DOTs are presented with a new challenge because the impacts of these technologies are still being evaluated. Further, the ability to evaluate impacts is hindered by the fact that many emerging technologies are still in the development stage and commercial use cases that will be scaled nationally are not yet known.
As road users in different jurisdictions are exposed to the safety issues presented by emerging transportation technologies, state DOTs are looked at to answer how these technologies will be regulated, monitored, and assessed. Part of this includes quantifying their impact on the transportation
system both at a local level and a federal level. Understanding how these technologies will transform transportation and road usage is integral to protecting the safety of road users while also understanding how proposed use cases may or may not impact the transportation system.
This research can be used to guide state DOTs in implementing emerging transportation technologies in a safe way that is based on the quantitative effects of the technologies on the transportation system. The benefits of this research will be the ability to provide guidance about the impacts of emerging transportation technologies to State DOTs and local agencies, which can then be used to steer the deployment of these technologies via standards development. Further benefits include understanding how these technologies will change the transportation system and developing performance measures for emerging technologies that are accessible to state and local governments.
Within a state DOT, departments focused on the evaluation and integration of emerging transportation technologies into the transportation system will likely be responsible for using the research results. Some state DOTs have dedicated staff focused on transportation and innovation while other DOTs have merged this into their departments focused on Intelligent Transportation Systems.
State DOTs can use the body of research developed by this statement to modify existing standards or develop new standards for the testing and deployment of emerging transportation technologies. The findings from this research are also anticipated to support needed coordination across departments when considering the evaluation and implementation of performance measures, including coordination around staff working on emerging technologies and staff supporting modeling.
Existing venues for further discussion around the project and the findings will include AASHTO meetings, SMET joint-subcommitee, and meetings of the Transportation Research Board. There will also be opportunities to coordinate findings with other national organizations and the Federal Highway Administration.
In February 2024, TAM Webinar 67 presented the findings from a research effort to understand "How Pavement and Bridge Conditions Affect Transportation System Performance." (https://ops.fhwa.dot.gov/publications/fhwahop22077/fhwahop22077.pdf) Among the paper's findings were that (1) "A TAMP program manager is likely to focus on IRI values, rutting, cracking, and faulting because those relate to the measures and targets the TAMP must address. However, research indicates that in many cases, it is friction and not those metrics that drive pavement-related crash reduction," and (2) "[D]ata from Continuous Pavement Friction Measurement (CPFM), combined with crash data and road characteristics, provide significant insight regarding whether friction improvements may reduce crashes." The authors call on stakeholders to use "today's unparalleled access to data" to deliver a risk-based TAMP development process that can optimize and "simultaneously enhance asset conditions and system performance." CPFM is still an emerging method of measuring and monitoring pavement friction within the United States despite being the dominant method of managing pavements for safety outside of the United States. Accordingly, there are benefits to providing the US TAMP community with guidance, tools, and best practices on how to effectively link pavement management and safety using CPFM. Specifically, TAMP staff considering whether to pursue the findings highlighted TAM Webinar 67 may benefit from strategies to set pavement friction measurement targets and determine appropriate pavement friction performance measures, guidance on various treatments’ dual impacts on pavement condition and safety, as well as tools and strategies to coordinate effective pavement friction management implementation in partnership with an agency’s safety and pavement management programs.
In February 2024, TAM Webinar 67 presented the findings from a research effort to understand "How Pavement and Bridge Conditions Affect Transportation System Performance." (https://ops.fhwa.dot.gov/publications/fhwahop22077/fhwahop22077.pdf) Among the paper's findings were that (1) "A TAMP program manager is likely to focus on IRI values, rutting, cracking, and faulting because those relate to the measures and targets the TAMP must address. However, research indicates that in many cases, it is friction and not those metrics that drive pavement-related crash reduction," and (2) "[D]ata from Continuous Pavement Friction Measurement (CPFM), combined with crash data and road characteristics, provide significant insight regarding whether friction improvements may reduce crashes." The authors call on stakeholders to use "today's unparalleled access to data" to deliver a risk-based TAMP development process that can optimize and "simultaneously enhance asset conditions and system performance." CPFM is still an emerging method of measuring and monitoring pavement friction within the United States despite being the dominant method of managing pavements for safety outside of the United States. Accordingly, there are benefits to providing the US TAMP community with guidance, tools, and best practices on how to effectively link pavement management and safety using CPFM. Specifically, TAMP staff considering whether to pursue the findings highlighted TAM Webinar 67 may benefit from strategies to set pavement friction measurement targets and determine appropriate pavement friction performance measures, guidance on various treatments’ dual impacts on pavement condition and safety, as well as tools and strategies to coordinate effective pavement friction management implementation in partnership with an agency’s safety and pavement management programs.
New Gen/Emerging Performance Measures (the statement was submitted on behalf of the Task Force on Emerging Performance Areas)
I think we should look again at how DOTs support and coordinate with local agencies in developing asset management capabilities. For example, MI has their AM Council, and in Iowa the state provides pavement data for ALL paved roads to local agencies to support pavement management. Would like to learn what other states/locals are doing and how we can encourage broader TAM efforts.
I think we should look again at how DOTs support and coordinate with local agencies in developing asset management capabilities. For example, MI has their AM Council, and in Iowa the state provides pavement data for ALL paved roads to local agencies to support pavement management. Would like to learn what other states/locals are doing and how we can encourage broader TAM efforts.
Nathaniel Vogt – Ohio DOT: we are working on Carbon Reduction Strategy and Resiliency Improvement Plan. We’ve had a few questions come up about how to measure performance and goals on resiliency and reducing emissions from the transportation system.
The perennial question remains: what is an effective performance measure for transportation resilience in a community, state, or other jurisdiction? Progress toward good answers has been underway for several years, though desultory and usually off-target. The need for this research was further reinforced during the December 2022 AASHTO conference in Providence and the January 2023 TRB annual meeting, which included a handful of workshops and sessions that broached this subject. From the perspective of high-quality performance management practice, effective measures of resilience have been elusive. Our colleagues are very good at measuring resilience for specific infrastructure, an organization, or a supply chain, but not for community mobility. This research will tease out how best to really measure it, from a state-of-the-art performance management perspective, not just the easy but low-value event or activity tallies. Consider an agency or community investing in preparedness work, infrastructure hardening, or implementing a policy shift – what is the most effective, objective, outcome-based evidence for whether the jurisdiction is now more resilient than it was a year ago? There are some seeds of ideas, but the same questions are shared by multiple agencies, PIARC, AASHTO committees, TRB committees, and surely others.
While there are several published resources referring to resilience performance, there remains a gap in effective performance measurement that this proposed research seeks to close.
Disaster Resilience Framework Workshop, 2015, San Diego. The workshop notes (unpublished) includes a section about Community Resilience Metrics.
Vulnerability Assessment and Adaptation Framework (VAAF), 2017, FHWA HOP (link). An important go-to guide for anybody working on transportation resilience.
Integrating Resilience into the Transportation Planning Process, White Paper on Literature Review Findings, 2018, FHWA HOP (link). A good resource for background and context, including a history of Federal rules on resilience. This document correctly places performance measure formulation after goals but before solutions.
Investing in Transportation Resilience: A Framework for Informed Choices, 2021, NAS/TRB (link). This also included a Committee on Transportation Resilience Metrics. The document includes some relevant points but is generally of limited value for performance management given its focus on project-specific evaluations and benefit-cost analysis.
Mainstreaming System Resilience Concepts into Transportation Agencies: A Guide, 2021, NAS/TRB (link). Follows on a 2018 resilience summit in Denver. A wealth of information about resilience, but measurement appears limited to project-specific risk reduction.
Developing Transportation System Climate Resilience Performance Measures, 2022, Minnesota DOT (link). A survey showed most states do not have resilience performance measures. Those that do are not outcome-based.
A Perspective on Quantifying Resilience: Combining Community and Infrastructure Capitals, 2023, Gerges et al (link).
Measuring Impacts and Performance of State DOT Resilience Efforts, 2022-2024, NCHRP 23-26, underway (link). Potentially valuable for this proposed research, but measures are not defined until after solutions and appear to focus only on monitoring project effects.
Transportation Asset Risk and Resilience, 2023-2026, NCHRP 23-32, pending/underway (link). A relatively large effort to generate new guidance, which may or may not include performance.
There are many laws, rules, references, and guidance documents going back many years, and right up to the current PROTECT Program guidance. The Further Consolidated Appropriations Act (2020), H.R.1865, calls on the “Secretary of Transportation to enter into an agreement with the National Academies of Sciences, Engineering, and Medicine to conduct a study through the Transportation Research Board on effective ways to measure the resilience of transportation systems and services to natural disasters, natural hazards, and other potential disruptions.”
Be wary of two tangents in literature: those focused solely on infrastructure and others about operational/organizational resilience, which are mostly unhelpful and distracting. Apart from published guidance, this research project will include a scan of select agencies to gather evidence and examples
This research seeks to disentangle attempts to date and clarify what it means to have an effective, outcome-based, high-level performance management approach to resilience. Toward this end there are three essential parts:
1. Confirming definitions. For example, is resilience an inverse of vulnerability? Or an inverse of just sensitivity and adaptive capacity (e.g., per the Vulnerability Assessment Scoring Tool [VAST])? If resilience is infinite, is exposure irrelevant? Consistent with the VAAF, is there consensus on the definitions for risk, criticality, consequence, and other essential terms?
2. Community mobility, or mobility and destination access across a jurisdiction of any size, for all users and modes. This is distinct from infrastructure-focused resilience for a specific asset, e.g., a bridge. For a community subject to natural or human-caused disasters, how can they know whether they are more or less resilient? Is there a role for the broader 4R concept of Robustness – Redundancy – Resourcefulness – Rapidity?
3. Effective performance measures. Pin down for the resilience community what that means. Agency leaders need the most relevant, feasible, and quantifiable evidence of improved resilience that is outcome-based and trackable over time. These are not the abundance of output or activity metrics already in play, nor project-specific evaluations.
In addition to developed guidance, this project will pilot the implementation of a high-quality resilience performance measure into existing performance management frameworks for up to five agencies. Not only states, but MPOs, e.g. Los Angeles and San Diego have promising initiatives already developed.
resilience, measures, performance management, community resilience
This project would advance goals identified in the AASHTO Strategic Plan, most specifically the goal of “Safety, Mobility and Access for Everyone” that includes “strengthen resiliency.” This project would also support several strategies in the Strategic Plan, including establishing frameworks and tools to enable impactful policy decisions, supporting implementation within member agencies, advocating to minimize the impacts of climate change, and applying scenario planning to better weigh options in decision-making.
Transportation resilience has grown in importance and this gap in practice needs to be addressed.
This research should be completed in parallel with the NCHRP 23-32 Risk & Resilience guidance development to be able to inform those products.
[to be expanded]
This research would primarily be used by transportation agencies and others responsible for implementing resilience performance measures and management systems. Recently completed NCHRP Project 23-09 established a framework and research roadmap for assessing risk to agency assets and the traveling public from extreme weather, climate change, and other threats and hazards. Follow-on NCHRP Project 23-32 Asset Risk & Resilience will develop the technical resource in three phases, including planning, execution, and final product development. As described above, this research should be conducted along a parallel and complementary timeline. Critical implementation elements include a communication plan to ensure awareness of the research products and TRB, FHWA, and AASHTO webinars to share the findings.
A subsequent phase of this research funded through NCHRP 20-44 may be helpful to disseminate the research findings more broadly and develop case studies showing the use of the research guidance. There are several other AASHTO and TRB committees interested in resiliency that would likely support this project, including:
Brief Description
Maybe an implementation project for Report 985 (Integrating Effective Transportation Performance, Risk, and Asset Management Practices)
Champion
Chris Whipple (UDOT)
Team
Spencer Wagner (DCDOT)
One of the key inputs to transportation asset management systems is the unit cost of each treatment. Costs associated with improving an asset consist of three components:
• Direct treatment costs: Cost of the treatment itself. This component includes just the pay items required to complete the treatment, such as the hot-mix asphalt (HMA) in a HMA overlay, or the concrete and reinforcement needed to construct a replacement concrete pavement.
• Direct project costs: Costs incurred as part of the construction project. These costs include traffic control, mobilization, ancillary features such as traffic signals and guardrail, etc.
• Indirect costs: Costs in advance of the project. This component includes Phase I studies, Phase II plan development, as well as any environmental investigations that may be needed. Also included in this component are utility relocations and land acquisition, and possibly costs associated with railroads.
The accuracy of the unit cost data is imperative to accurately managing a transportation system. If the costs are underestimated, the agency will program more work than can be accomplished. Anticipated conditions over time will be overstated as a result. This synthesis seeks to determine how transportation agencies are quantifying the direct and indirect treatment costs associated with improving assets, and the corresponding impact on their capital program as a whole.
Synthesis of Information Related to Highway Practices. Topic 54-22, Practices for Capturing Costs of Maintenance Operations in Maintenance Management Systems (Transportation Research Board), is similar but focuses on the maintenance side of asset management, particularly maintenance performed by the transportation agencies themselves.
Incorporating Cost Uncertainty and Path Dependence into Treatment Selection for Pavement Networks (Transportation Research Part C: Emerging Technologies, Volume 110, pp 40-55), begins at the next step after treatment unit costs have been developed and looks at the effect of uncertainty in cost on the cost-effectiveness of pavement network planning.
NCHRP Report 545, Analytical Tools for Asset Management, notes that a translation process is required to develop unit costs that are usable by most management systems. The proposed synthesis will be an important step toward closing that gap.
NCHRP 02-26, Implementation of Life-Cycle Planning Analysis in a Transportation Asset Management Framework, acknowledges the importance of treatment unit costs as an input to life-cycle planning, but does not go into detail on the development of the treatment costs themselves.
The objective of this research is to determine how transportation agencies are quantifying the direct and indirect treatment costs associated with improving assets as an input to their asset management systems, and the corresponding impact on their capital program as a whole.
Information to be gathered includes (but is not limited to):
• The components of an asset improvement project included in the budgets used in the asset management system, such as the construction project itself, preliminary engineering, land acquisition, etc.
• The source of treatment cost data, such as contract lettings, final design estimates, programming estimates, etc.
• The frequency of updating the treatment costs in the asset management system.
Proposed Research Activities: Information will be collected through a review of the 52 state agencies’ 2022/2023 Transportation Asset Management Plans, a survey of DOTs and other transportation agencies, and follow-up interviews with selected agencies for more detailed information. Information gaps and suggestions for research to address those gaps will be identified.
Susan Lime
treatment unit costs, asset management systems, direct costs, indirect costs, program costs
The research findings will assist transportation agencies in their development and use of comprehensive treatment unit costs as an input to life-cycle planning, enabling them to accurately project condition and therefore improve asset performance.
Very little detailed information on best practices related to treatment costs used in asset management systems exists, as noted below in the literature search summary. Yet the accuracy of treatment costs is of paramount importance in programming the proper amount of work that can be accomplished within given budgets and therefore in predicting asset performance into the future. The potential benefits of the research include agencies learning more accurate means of determining treatment unit costs, as well as identifying additional research needs to improve best practices nationwide.
The asset management engineer and others in an asset management section will be responsible for using the research results. Anyone involved in configuring the inputs to the asset management system, particularly with an eye toward getting the best possible outcomes, would be interested in the results of this research. The implementation would likely involve an improvement to existing processes rather than creating new processes.
a. Communication and Implementation Funding:
b. Communication and Implementation Period:
KEYWORDS/TERMS – treatment unit costs, asset management systems, direct costs, indirect costs, program costs
Brief Description
As we have more new techniques for managing assets using trenchless technology, do we know the expected life and subsequent treatments for these assets.
Champion
Susan Lime, NM DOT
Team
Baris Salman
Stephanie Dock
Brief Description
TBD
Champion
Aimee Flannary
Team
TBD
As the United States moves toward a fleet comprised of more EV and hybrid vehicles, important questions impacting the design and management of critical assets must be considered in future practice and policy making. For instance:
Answering these questions is critical as the types of vehicles using state and local transportation facilities transition to the next generation of vehicles.
Since asset management (AM) is a business process and decision-making framework using economic and engineering modeling over an extended time horizon, it can help inform many aspects of designing and planning for and implementing the expected service levels of roadways and structures to support adoption of next-generation vehicles. Developing guidance that reflects changes associated with EV and hybrid vehicles will lead to updated design models, more reflective deterioration rates, and improved planning for the preservation, improvement, and operation of road and bridge assets while protecting them from shorter lifecycles.
Single occupancy vehicles, while a major cause for congestion, do not appear to provide measurable impacts to load weighting. Therefore, the next-generation vehicles considered under this study will include a comprehensive mix, including transit, garbage trucks, and freight. For bridge analysis, this research would evaluate existing data and account for the battery weight to develop a design load model for gross vehicle weight. Pavement analysis utilizes equivalent single axle load (ESAL) ratings.
The figure linked below, provided by the City of Seattle, illustrates the tremendous load impacts that buses and trucks have on pavements and bridges:
https://www.tam-portal.com/wp-content/uploads/sites/12/2023/10/Picture1.jpg
The City estimated that it would take about:
WSDOT, in its pavement design guide, advises that the average 18-wheel, double unit truck on a state highway has a total ESAL factor of 1.00 to 1.35 on average, a figure reached through their different studies of truck weights (at weigh stations, etc.). As the picture shows, the design loading is significantly lower than those being applied by buses, especially those with heavy batteries.
Transit buses have a federal exemption from axle weight limits that dates to the ISTEA transportation legislation in the early 1990s. Buses have gotten increasingly heavy over the last two decades with new equipment like hybrid powertrains, yet the number of axles remains the same because of the exemption. Furthermore, transit agencies are often not the owners of the roadways and bridges so they may not consider infrastructure conditions and design into their decision making.
The average bus empty is more damaging than the typical truck on a state highway. Add passengers, the exponential relationship between axle weight and fatigue, and the damage factor per bus increases to almost six times for the heavy articulated hybrids.
The figure hints at why agencies are struggling to maintain roads and bridges. As the transportation system is expected to carry heavier vehicles than they were designed for, it is critical to update design models and develop new deterioration factors to be used in asset lifecycle planning.
In addition to design and maintenance issues, the study will also consider environmental and social impacts and potential risks associated with next-generation vehicles. The inclusion of these factors enables asset management cross-asset trade-offs to be evaluated in terms of both positive and negative impacts. A comprehensive, triple bottom line study will pull from existing sustainability and economic lifecycle cost analyses on EVs and infrastructure construction along with societal factors such as increases in travel time from driving on deteriorated infrastructure assets.
The objective of this study is to develop a guidebook with suggestions for updating asset management models used in pavement and bridge design and preservation. The guide will be developed from research to determine:
The guidebook will be supported by case studies from a variety of agencies (state and local, urban, and rural) illustrating the potential impact the resulting deterioration rates would have on pavement and bridge designs, maintenance strategies, and lifecycle costs.
EV, buses, ESAL, hybrid vehicles, deterioration curves, vehicle size and weight, roadways, bridges, sustainability, infrastructure design, material selection, whole life cost assessment, agency and asset resilience, risk
Safety, Mobility and Access for Everyone: Advance a safe, multimodal transportation system; Advance equity and social justice; Improve asset performance; Strengthen resiliency; Align transportation interests across partners and regions
National Transportation Policy Leadership: Deliver a proactive policy platform for the future; Evaluate emerging trends in technologies, policies and practices; Communicate the value of transportation; Advocate for sustainable funding; Promote a broad range of thoughts and policies
Organizational Excellence with World Class Services: Be the trusted developers and keepers of transportation standards and guidance; Build transportation workforce capabilities; Innovate and modernize products and services
This project would benefit the entire bridge and pavement community by helping them to prepare for future EV and hybrid applications. Having quantifiable AM models that predict accelerated deterioration rate, will help to inform design considerations, transit and freight routes, future funding needs, and support conversations between DOTs and Transit agencies for future service level planning.
The report would benefit from case studies for each pavement and bridge category including local, state, and county agencies representing high and low volume roads / bridges along with rural and urban settings.
Ping Lu
FHWA
Emily Burns
Seattle Office of the Waterfront
Matt Versdahl
WSDOT
AASHTO committees— Bridge Management; Preservation; Pavement Management; Performance Management
TRB Performance Management AJE20
TRB Asset Management AJE30
- Organizational strategies for improvement
- Innovation challenges
- Thinking outside the LSS, Lean methodologies
- Office of competition at the federal level - mechanism exists at the - - - federal level
- Crowdsourcing improvement efforts
Potential benefit if you can align political and departmental alignment
Always need to balance top-down and bottom-up, operationalization of it
**Involvement of those doing the work is critical to long-term success - what are the contributing factors to make large-scale efforts successful?
https://sites.google.com/state.co.us/process-improvement/tools-resources/cascades-how-to-create-a-movement-that-drives-transformational-change
How do you build a movement in transportation
Customer-, Environment- centric momentum for organizational change - What are the key components needed to make process?
Related organizational changes needed to make it happen?
Dave - Brene Brown - “Clarity is Kindness” in all that we do, find tools that help break down barriers.
Ties in with KM, OM, Risk, etc.
(Of the ones recommended, Gary and Gehan support this one the most)
Infrastructure
Changing over the fleet
Incorporating uncertainty into forecasting, target-setting, and monitoring - low /high matrix - inflation, funding,
performance, modeling uncertainty envelope (synthesis/peer exchange in lieu of research project?) (Risk as a
band of uncertainty v. a number) - Charles Pilson
There was a recent research idea on how to visualize/communicate uncertainty. Maybe a TAM conference
idea?
The RMS also has "ERM - Improving Risk Visualization and Communication Internally and Externally"
in the candidate pool. Not sure if that's related to the idea of communicating uncertainty? - Matt Haubrich
(please add clarifying details and topic title suggestions)
Many states and local jurisdictions have deployed some level of automated technologies , such as low speed shuttles, and or have partnered with private agencies or research institutions to do so
Little performance or other information is available in a consolidated and organized fashion about the results of these pilots, test cases and or deployments
Policy makers have become guarded about investing in pilots and similar deployments, especially given the recent disillusionment with technology potentials such as AVs, CVs and CAVs and want to understand what benefits and results have been achieved.
Challenges may include the availability of data, data agreements (which often preclude external data sharing) and or lack of sufficient data in cases of short term pilots.
What kind of data is available, can be analyzed and summarized into a consolidated report to understand 1. what pilot shave been conducted (over past x/3 years? ) and 2. What is the performance of these pilots and or deployments in terms of safety and system efficiency and operation? (Similar interest exists in understanding equity impacts but those would be even harder to quantify and are not included , unless data is available).
Potential partnership with Eastern Corridor Coalition
please add clarifying details and topic title suggestions)
More cross-modal (other than vehicle) data; specifically: pedestrian, bicycle and certain transit data is needed for various applications and needs including Complete Streets, We need more and better quality, verified data for transit, bikes, peds, and non-car users.
Includes examining options for data availability, quality, validity, analytics.
Stephanie Dock, Daniel Hulker, and Daniela Bremmer were interested in further defining/developing this research concept and invited other CPBM and subcommittee members to join.
Potential partnership with Eastern Corridor Coalition's-data group (working on methodologies for assessing and standardizing cross-modal non-vehicular data)?
Jun Liu of U of Alabama suggested this at the first COPlanning Research Symposium, but it has SMET implications. (I,e EV fires , other )
Should SMET be lead? Partnering with COP, CTSO, others? Options? (Should we pursue this? Reach out to Planning? Add more context description?)
Focus on critical transportation planning issues and better addressing resilience, access, environmental protection, and financial limitations.
Focus on new infrastructure needs, air quality, and transportation revenue
To be able to adjust for demographic changes, transformational technologies, and other uncertainties.
note: this also falls under the Equity (E) category
Note: this research is also in the Governance and Decision Making (G/DM) category
Note: short term need
Consider an implementation project for NCHRP Research Report 980 Attracting, Retaining, and Developing the Transportation Workforce: Transportation Planners published in 2021
What is it, is there a common definition, why is it important, is it different from various stakeholder perspectives, and how to achieve it through DOT infrastructure and program investments
Research to improve DOTs capability and capacity for data-driven decision making.
Research to advance the discipline of data-driven decision making within State DOTs
NCHRP Project 23-27 Strategies to Strengthen Data-Driven Decision Making Details here.
This research would produce an updated guidebook of current and emerging performance
measures used and for use by State DOTs.
NCHRP 20-24(37)G – Technical Guidance for
Deploying National Level Performance Measurements was completed in 2011. This project
would update this valuable guidance.
Create a best practices guide for using data to inform equitable deployments of AVs and shared mobility.
Risk communication is the act of sharing information about potential threats to people and infrastructure with the objective of saving life and property. This covers a wide range of information, including asset condition, mobility, safety, economic impacts, environmental impacts, and others. Effective verbal, visual, and written communication promotes the recovery of disrupted systems while maintaining public confidence in these systems. This requires that all communication tracks be congruent and effective.
Barriers to effective risk communication exist, both internally and externally. One major barrier to internal communication is organizational “siloing”. Staff working within different functional areas (such as safety, operations, and emergency management) may feel little incentive to collaborate if they believe their missions are independent of other departments. Organizational silos result in duplication of effort and inefficiency, and lack of various perspectives in approaching problems.
Another major obstacle is delivering the appropriate message at the right time with clear language that speaks to all audiences. If not properly delivered, communication may inadvertently create hysteria, unease, and confusion. Barriers to external communications with outside agencies stem from a lack of established two-way communications channels, dissimilar language, and varying definitions of risk. Communications with the public and others need to eliminate rumors, lack of expert consensus, over-hyped reporting, failure to understand of ethnic differences, and so on. Ultimately, overcoming these obstacles requires:
• Leadership direction including a reality-based vision, the "path forward", and incentives to interact
• Organizational support from multiple groups
• Clear definition of both Inter- and intra-agencies including:
- What collaboration may look like
- The reason and importance of the collaboration
- How and when collaboration takes place
• Partnerships with community organizations
• Defined and appropriate language for messaging that effectively outlines the hazards, severity, location, affected population, and uncertainty of risk
• Alignment of verbal, visual, and written communications to relay complementary messages.
• Selection of appropriate messaging vehicles (email, variable message sign, web site, etc.)
These efforts require research to identify the best methods and current examples of how to implement such communication at a DOT. As many options exist for internal and external risk communication, and various agencies and organizations have their own communication requirements, effective research will provide a path forward to establishing effective risk visualization and communication at a DOT.
Review of existing literature on developing effective communication techniques, risk visualization, and implementing these initiatives in transportation agencies reveals that there are studies into aspects of these topics, but this proposed research will combine these aspects into a single topic. Previous research includes studies into project improvements through effective communication and its results, the relationship between collaboration and performance across regional safety coalitions, study into the issues of effectively conveying risk, especially among multiple assets, and the use of visualization and modelling to communicate ideas and facilitate communication among transportation planners and agencies. Literature on these topics and others provide information on aspects of communication that are useful to agencies. This research will combine the focus of these previous studies into specifically identifying how to effectively develop communication of risk visualization both within a DOT and with its partner agencies, as well as the public at large. This effort will provide specific inquiry into this subject, providing DOT’s and their partner agencies with valuable information on combining effective communication strategies with risk visualization techniques. This builds on previous study, which covered aspects of communication at DOT’s, risk communication, and other related topics, while not combining such study into a specific project.
The objectives of this research are to develop guidance in the following initiatives which can be used to develop effective risk visualization communication within DOT’s, with external agencies, and the public in the by performing study into the following initiatives:
1. Establishing intra-agency communication.
2. Establishing external partnerships and two-way communications channels with community organizations.
3. Crafting an effective visual, verbal, and written communication strategy with materials (ie., metrics, dashboards, regular reports) with a clear explanation of uncertainty.
4. Determining the appropriate message vehicle.
This research will examine current strategies and methods of risk visualization communication at various DOT’s. Internal communication, two-way communication channels with external organizations, associated strategies, and other aspects of communication in relation to risk visualization will be extensively explored.
Ineffective communication on Risk Visualization at DOT’s may lead to incomplete risk management and a lack of understanding of potential risks associated with DOT projects. This understandably can create severe issues that impact multiple people. Ineffective communication may cause breakdowns of information between agency departments internally, and with external parties. Lack of understanding of potential risks may lead to projects which do not mitigate these risks and create dangerous situations for users. Significant financial investment may be required to mitigate dangers that were missed due to ineffective risk management communication, or to ensure that missed information is eventually communicated. Ensuring that risk visualization is properly communicated and understood among DOTs, related departments, and the community, more effective lines of communications within an agency lead to effective understanding of potential risks, and the mitigation of these risk to create safe situations across transportation systems.
Within a DOT, it is expected that employees and directors associated with Risk Management departments will be the most likely to utilize the results of this research. Any departments within a DOT associated with Risk Management through project work would also utilize this information. After research is complete, a DOT will be able to implement study findings by developing or strengthening their current risk visualization communication strategies based on the reported study results. Training, any required updating of systems, and development of new processes may be required. Presentation of study findings to risk management managers, and other project managers within the DOT could be an effective method of creating awareness of new techniques for improving communication related to risk visualizations. Communication of findings can be relayed to departments associated with risk management, to ensure that communication strategies can be implemented across multiple levels (and in order to prevent departmental ‘siloing’).
LINK TO 2021-2026 AASHTO STRATEGIC PLAN: This project aligns to the AASHTO Strategic Plan by providing information that will help DOTs develop further organizational excellence and effective services in knowing how to create the best risk communication strategies that will share risk information both internally and with external agencies and the public at large. Knowledge of risks will lead to better transportation products and services by helping to identify what aspects of transportation require improvement and safety enhancement. This will also lead to further examination of current and emerging trends present in transportation policies and practices, while promoting a range of new policy options that can be implemented. This project will align with AASHTO’s plan to provide safety, mobility, and access for everyone by providing blueprints for effective communication with external agencies and the public. By making the public aware of potential risks, and pursuing solutions to these risks, DOTs will be able ensure that social equity within the public sphere is preserved while transportation systems are made safer. Effective communication with community organizations, especially, will forge strong connections between transportation agencies with public interest.
The ability to effectively communicate risks both within an agency and externally to key stakeholders is important in decision-making and assuring effective mitigation strategies are assigned and appropriate resources are dedicated. Risk management is an effective tool for decision-making but communicating risks, potential impacts and likelihood of occurrence as well as appropriate mitigation is often not well understood.
This proposal builds off of a similar RPS developed as part of NCHRP 20-123(04) but adds in and emphasizes the element of visualization to improve communication. It also emphasizes the concept of risk tolerance.
Need to understand and demonstrate risk-tolerance associated with decision-making within agencies. This relates to both potential threats and opportunities.
This proposal builds on the draft problem statement outlined in the NCHRP 20-123(04). The background has been acceptably defined. The objectives should be modified to further emphasize risk perception and development of ways to assess and communicate risk tolerance.
Emphasis on developing tools and methodologies to document risk tolerance and acceptance parameters associated with taking risks.
State departments of transportation (DOTs) and other transportation agencies are working to deliver greater resiliency in their transportation systems. Agencies are changing established business processes, technical methodologies, tools, and systems to build resiliency. In order to achieve sustainable change and have lasting improvements in resiliency, agencies need to also address organizational culture in order to bring about greater enthusiasm and focus on resiliency building.
Organizational culture is defined as the underlying beliefs, assumptions, values and ways of interacting that contribute to the unique social and psychological environment of an organization. It focuses on building shared values to achieve the organization's goals and objectives. When transportation agencies have good organizational culture, employees know how agency executives want them to respond to any situation, employees believe that the expected response is the proper one, and employees know that they will be rewarded for demonstrating the organization's values.
Greater understanding of the elements of good organizational culture and how it can be applied to transportation agencies to achieve greater resiliency is needed. This research project would include identification of agencies that have had success in building resiliency and examine what elements of organizational change supported the successful resilience building. Research on sectors outside of transportation where resilience is important would be conducted to understand the organizational culture elements. The ingredients for building organizational culture to achieve greater focus on building resilience will be created for transportation agencies.
The proposed research be composed of the following components:
• Conduct a literature/practice review of the relevant information
• Identify organizational practices and determine how they can be generalized to support guidance
• Develop guidance for agencies
• Demonstrate/evaluate guidance through at least one case study
• Produce a final report including an executive summary
Both federal and recipient agencies have the goal of maximizing the public benefits from investment of the limited transportation funding. Additionally, there is a cost and/or risk to every activity or inaction related to program delivery. Whenever an available dollar is moved from physical or operational improvements on the system to program administration, the public loses the benefit of that dollar. Similarly, every dollar that is lost from the system because of fraud or diverted away from the program goals due to whatever form of mismanagement, the public loses the intended benefit of that dollar. Therefore, the goal of all agencies should be to minimize the negative risks and costs associated with administering the funding programs, even if that means the occasional dollar is lost to fraud or mismanagement when the cost to prevent that loss is greater than the cost of the loss itself. It seems especially important to avoid duplicative administrative costs generated from the various governmental levels. The essential issue is determining the end-user public return on investment (ROI) from adding program requirements for both the federal agency and the recipient agency.
Develop a means of determining the balance between program requirements that minimize the risks of fraud and/or of not meeting program goals with maximizing the benefits to the end users (i.e., the public).
In many cases, states and other local government agencies have performance measures developed through the extensive public outreach in the various federally and internally required strategic planning efforts. Not surprisingly, these “local” performance measures are often related to but different from the federally mandated performance measures.
For example, freight mobility in an urban area often means travel time (i.e., traditional congestion), similar to the federal system performance measures (PM3); however, in a rural area, it means the system’s ability to carry the desired loads (i.e., height, width, and load restrictions not meeting expectations causing loads to be rerouted over longer distances). In either case, the results are wasted time, money, and fuel, and more greenhouse gas (GHG) emissions. Reducing this waste is really the goal of the federal measures above. Therefore, the same goal is being monitored, whether using the federal measures or the state and local (hereinafter, local) performance measures. This is just one example of many similarly developed local performance measures related to a national goal area but with different metrics and definitions than the national measures.
By definition, the local measures are important to the end users of the transportation system by virtue of being developed through public input. Therefore, local policymakers often want or require these measures to be used in the decision processes and to tell the local story of transportation performance, safety, condition, etc. (hereinafter, performance). It would reduce waste and improve public transparency if these local measures could also be used to tell the national system performance story. This would avoid potentially conflicting messages from local and national sources and avoid the duplicate work of collecting, monitoring, and analyzing similar measures related to the same basic goal. Additionally, the collective of local measures could be used to tell a more comprehensive and complete story of the nation’s overall movement toward its shared transportation goals through a “drill down” approach of providing greater and greater detail from the national level through the regional, state, and local community levels.
Keyword searches in the Transportation Research Board’s (TRB’s) TRID and Research in Progress (RIP) systems were performed for research related to:
• Performance Measures, Communicating
• Communicating Performance
• “National Performance”
Several projects were found related to but not overlapping this proposed topic, with the newest one being a 2015 document specific to State Department of Transportation (DOT) performance story telling. The most relevant document was a 2011 periodical article titled “Measuring Infrastructure Performance: Development of a National Infrastructure Index.” However, not only is that article dated, but it does not address the underlying research question of if and how local measures, important to the public, can be used to tell a national story about national goals.
Develop a means of consolidating the many related local measures into a set of national measures that describes and monitors how well the national transportation system is meeting (or not meeting) the traveling public’s needs as related to Congress’ strategic goals for the nation’s transportation system.
The current system of detailed nationally-defined measures monitored and reported by States and MPOs, along with locally-mandated and -defined measures, yields state, local, and national messages to the public that are often conflicting or at least are not readily understandable to the public. Additionally, collecting data on related but different measures is a duplicative burden to States DOTs and Metropolitan Planning Organizations (MPOs) that is wasteful of scarce resources. Therefore, if measures that are developed with close input from the transportation system end users could be collectively used to monitor the national system’s ability to meet strategic goals, the messages to the public would be more understandable and would come at a lower cost. On a national scale, that lower cost is likely to be a very substantial savings over the current framework, given the sheer number of reporting entities (i.e., State DOTs, MPOs, transit agencies, highway safety offices, etc.).
Complete implementation would likely require Congressional action through the transportation bill reauthorization because some federal measures are dictated in the current Infrastructure Investment and Jobs Act (also known as the Bipartisan Infrastructure Law). However, in most cases, implementation could be accomplished through the federal administrative rulemaking processes.
As funding for resource allocation increase and decrease each year it is critical for agencies to ensure that they are spending the resources the best they can and meeting as many needs as possible. The challenge of meeting condition needs vs operational needs vs quality of life is increasing each year for agencies. Thus, as agencies work each year to make resource allocation decisions for multiple service areas, and analysis the impacts of these decisions are often difficult to captured with performance measures. For example, condition measures for physical asset classes (pavements, bridges, etc.); performance measures for system operations (snow and ice control, traffic operations, emergency response) and quality of life measures (safety, accessibility, equity) are used by agencies to evaluate these resource allocations. State agencies generally have flexibility to adjust the level of investment of these categories, yet evaluation of the tradeoffs or optimization of these decisions are often limited to similar measures (bridge condition vs pavement condition). Is there potential benefit in expanding the scope of these analyses to include performance measures and investment classes of less similar nature. What tools do agencies use for this cross-asset allocation; How are the tools used for asset resource allocations to include services and quality of life investments?
Keyword searches in TRB’s TRID and RIP systems were performed for research related to:
• “Resource Allocation”
• “Cross Resource Allocation”
• “Cross Investment”
A search was also conducted on the Transportation Performance Management (TPM) Portal :
• Tools>Featured Tools>MODAT
The National Cooperative Highway Research Program (NCHRP) Report 806: Cross-Asset Resource Allocation and the Impact on Transportation System Performance developed a cross-asset resource allocation framework, a spreadsheet tool and guidance.
A subsequent project culminated in NCHRP Report 921:Case Studies in Cross-Asset, Multi-Objective Decision Analysis , which updated the NCHRP Report 806 spreadsheet tool and developed case studies illustrating multi-object decision analysis (MODA) applications. The Multi-Objective Decision Analysis Tool (MODAT) developed as part of this project helps prioritize candidate projects on a range of different objectives. MODAT can be accessed at: https://multiobjective.org/.
The American Association of State Highway and Transportation Officials (AASHTO) also developed a web-based training (WBT) training curriculum for performance-based prioritization using Multi-Objective Decision Analysis (MODA). This training is intended to educate and expose practitioners to the use of MODA.
Indiana DOT is scoring all of their projects based upon 7 categories including safety, congestion, environment, regional and state economic contribution, Intermodal connectivity, and total cost of ownership. This synthesis would be an extension of the research started here, specifically providing additional case studies of states implementing cross-investment allocation and considering investment categories other than physical assets.
1. American Association of State Highway and Transportation Officials. Transportation Performance Management (TPM) Portal. https://www.tpm-portal.com/. Accessed June 2022.
2. National Academies of Sciences, Engineering, and Medicine 2015. NCHRP Report 806: Guide to Cross-Asset Resource Allocation and the Impact on Transportation System Performance. Washington, DC: The National Academies Press. https://doi.org/10.17226/22177.
3. National Academies of Sciences, Engineering, and Medicine 2019. NCHRP Report 921: Case Studies in Cross-Asset, Multi-Objective Resource Allocation. Washington, DC: The National Academies Press. https://doi.org/10.17226/25684
4. American Association of State Highway and Transportation Officials. MODAT Tool. https://multiobjective.org. Accessed June 2022
5. American Association of State Highway and Transportation Officials. “Performance-Based Prioritization Using Multi-Objective Decision Analysis (MODA). Web-Based Training. AASHTO Store. Washington DC. https://store.transportation.org/Item/TrainingDetail?ID=4506. Accessed June 2022
Investigate, compile, and categorize examples of organizations’ efforts of using performance measures and data supported tools for cross resource allocation and goal-oriented decisions.
As agencies make tough resourcing decisions every year, this synthesis would be useful to capture how the research products and tools described above are being used, along with any other methods state DOTs are using to make multi-objective resource allocation decisions. Research has shown that multi-objective resource allocation can be done. This synthesis could answer “Is it being done?” and if so, “How is it being done?”
The product of this research would be a synthesis of the practice, facilitating knowledge transfer to performance management practitioners.
Transportation agencies traditionally had a very steady workforce. The combination of changes in young people’s work patterns and the economic changes that drive workforce availability requires that agencies need to act more proactively on how to deliver transportation programs. Research is needed to understand the behavioral patterns and mechanisms to both mitigate variability in workforce availability and what can be done proactively to benefit the agency.
With the increased funding states are receiving based on the IIJA and BFP. NMDOT has identified the fact that we may run into contractor availability to meet the needs of the upcoming projects.
Several states have established offices to implement continuous improvement processes such as Lean, Design Thinking, or Change Management. Over 30 of these offices participate in the Transportation Lean Forum (TLF), an informal group that operates in association with the AASHTO Subcommittee on Organization Management. In addition to formal offices, some states make less formal “grass roots” efforts to improve their processes. A synthesis would conduct a side-by-side study of the states’ efforts, including efforts in states that are not participating in the TLF, find what is working and what is not, assist states to identify improvements that they might implement, and set a baseline of the current “state of the art” that could inform future research on the outcomes of these efforts.
Lean Improvement research questions:
Efficiency research questions: