<rss version="2.0" xmlns:atom="https://www.w3.org/2005/Atom">
  <channel>
    <title>Research in Progress (RIP)</title>
    <link>https://rip.trb.org/</link>
    <atom:link href="https://rip.trb.org/Record/RSS?s=PHNlYXJjaD48cGFyYW1zPjxwYXJhbSBuYW1lPSJzdWJqZWN0aWQiIHZhbHVlPSIxNzk5IiAvPjxwYXJhbSBuYW1lPSJkYXRlaW4iIHZhbHVlPSI3MzAiIC8+PHBhcmFtIG5hbWU9InN1YmplY3Rsb2dpYyIgdmFsdWU9Im9yIiAvPjxwYXJhbSBuYW1lPSJ0ZXJtc2xvZ2ljIiB2YWx1ZT0ib3IiIC8+PHBhcmFtIG5hbWU9ImxvY2F0aW9uIiB2YWx1ZT0iMTYiIC8+PC9wYXJhbXM+PGZpbHRlcnMgLz48cmFuZ2VzIC8+PHNvcnRzPjxzb3J0IGZpZWxkPSJwdWJsaXNoZWQiIG9yZGVyPSJkZXNjIiAvPjwvc29ydHM+PHBlcnNpc3RzPjxwZXJzaXN0IG5hbWU9InJhbmdldHlwZSIgdmFsdWU9InB1Ymxpc2hlZGRhdGUiIC8+PC9wZXJzaXN0cz48L3NlYXJjaD4=" rel="self" type="application/rss+xml" />
    <description></description>
    <language>en-us</language>
    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
    <image>
      <title>Research in Progress (RIP)</title>
      <url>https://rip.trb.org/Images/PageHeader-wTitle-RIP.jpg</url>
      <link>https://rip.trb.org/</link>
    </image>
    <item>
      <title>Customizing Transportation Services and Technologies Based on Rural Patient Healthcare Needs</title>
      <link>https://rip.trb.org/View/2667211</link>
      <description><![CDATA[The purpose of this project is to build on previous research to better understand the various linkages between specific comorbidities, lifestyle habits and targeted public transportation-related services and technologies. In addition, the project will demonstrate how these services and technologies can be adapted specifically for rural populations to secure better health outcomes. The primary research methods for this project will be as follows: 1) obtain literature about risk factors for specific comorbidities and lifestyle habits and how they interact with healthcare system access ; 2) use data from the University of Kentucky’s Healthcare’s Center for Clinical and Translational Studies and other Southeastern health systems to create a panel analysis of health outcomes based on University of Kentucky’s patient surveys, lifestyle habits, known comorbidities and diagnoses, and patient histories; 3) review materials as needed to determine best practices and synthesize findings for transportation-based support for specific medical conditions for rural residents; and 4) work with technology transfer programs and other stakeholders to develop a tool and/or outreach materials based on project findings for technology transfer professionals to improve transportation efficiency, technology and system innovation in trainings for transit and healthcare providers. The goal is to help both health and transportation providers to implement customizable healthcare mobility strategies based on their logistical capacity and patient needs.]]></description>
      <pubDate>Mon, 23 Feb 2026 14:19:44 GMT</pubDate>
      <guid>https://rip.trb.org/View/2667211</guid>
    </item>
    <item>
      <title>Driver to Non-Driver Transitions: Related Health, Mobility and Safety Outcomes</title>
      <link>https://rip.trb.org/View/2671991</link>
      <description><![CDATA[This project involves analyzing the impacts of becoming a non-driver (suddenly or gradually) in Wisconsin and nationally and effects on health, mobility, and safety outcomes. The project will analyze health, quality of life and mobility outcomes for drivers who are no longer able to drive. The researchers will analyze the safety, mobility, and quality of life outcomes for those who have suddenly or gradually become non-drivers. Analysis should focus on adult non-drivers of all ages and demographics, with particular emphasis on adults aging in place and urban versus rural areas. Once the analyses are conducted and complete, the researchers will report findings and provide recommendations for policies that lead to improved outcomes—namely increases in mobility and safety benefits for the entire state. Recommendations will help Wisconsin Department of Transportation (WisDOT) understand how to best offset impacts to mobility for individuals suddenly or gradually transitioning from being drivers to non-drivers.]]></description>
      <pubDate>Wed, 18 Feb 2026 11:39:50 GMT</pubDate>
      <guid>https://rip.trb.org/View/2671991</guid>
    </item>
    <item>
      <title>Enabling Mobility for Older Adults in the US</title>
      <link>https://rip.trb.org/View/2669552</link>
      <description><![CDATA[Driving is essential for the preservation of functional independence for older adults, yet there is a growing number of older adult drivers with comorbid health conditions that might impair their ability to drive safely. Older adult drivers are overrepresented in motor vehicle crash deaths and injuries, which is a major public health concern. The purpose of this project is to (1) develop a comprehensive understanding of the mobility needs and challenges of older adults in the United States, and (2) develop an innovative tool to extend their safety while they drive.  

Aim 1: Develop a comprehensive understanding of the mobility needs and challenges of older adults  

To develop a comprehensive understanding of the mobility needs of older adults, the research team will analyze data from a nationally representative survey of U.S. adults aged 65 and older. The survey contains a comprehensive set of questions that explore driving behavior, transportation options, mobility limitations, and attitudes toward future transportation technologies and policies among adults aged 65 and older.   

Aim 2: Develop an innovative tool to extend their safety while they drive.  

The goal of this project is to understand older adults’ perceptions of an app (StreetCoach) that provides a driving score based on actual driving behavior. A number of apps exist for older adult drivers but the perceptions of older drivers towards their driving score is poorly understood. This study will use a sequential explanatory research design by asking 10 older adults to download and use the app for 60 days. Following this, the research team will conduct in-depth interviews with the participants to gain an understanding of their perception and interpretation of their telematics score, and what factors might motivate them to change their driving to improve the score.   ]]></description>
      <pubDate>Thu, 12 Feb 2026 15:16:36 GMT</pubDate>
      <guid>https://rip.trb.org/View/2669552</guid>
    </item>
    <item>
      <title>Healthy Micromobility: Moving From Crisis to Opportunity</title>
      <link>https://rip.trb.org/View/2652680</link>
      <description><![CDATA[Micromobility, including e-scooters and e-bikes, is an emerging transportation mode with the potential to alleviate congestion and improve urban mobility. However, prior research has primarily focused on safety risks and injury rates, with less attention given to its potential benefits, such as improved accessibility, reduced vehicle miles traveled (VMT), and enhanced health through active transportation. This project aims to provide a more comprehensive assessment of both the risks and benefits of electric micromobility within the U.S. transportation system using a combination of literature review, survey research, and systems dynamic modeling. The study examines how electric micromobility reduces VMT while also evaluating the health trade-offs related to safety risks and active transportation benefits. The project consists of three main aims: (1) a targeted literature review to synthesize existing evidence on electrified micromobility’s health impacts, (2) a nationally representative survey to capture user behavior, trip substitution patterns, and safety concerns, and (3) the development of a system dynamics simulation model to quantify the net health effects across diverse urban settings.     ]]></description>
      <pubDate>Tue, 13 Jan 2026 16:27:45 GMT</pubDate>
      <guid>https://rip.trb.org/View/2652680</guid>
    </item>
    <item>
      <title>Bridging Data Gaps with Modeled Data from Generative AI: Advancing Health in Transportation Research</title>
      <link>https://rip.trb.org/View/2652171</link>
      <description><![CDATA[Transportation-related factors, such as air quality changes and exposure disparities, have significant impact on health outcome. Communities near high-traffic corridors experience elevated exposure levels, yet efforts to assess these impacts are hindered by the lack of high-resolution health and socio-demographic datasets. Traditional air quality models, such as dispersion and interpolation techniques, estimate pollutant distributions but struggle to capture localized exposure variations and real-world uncertainties due to their reliance on static assumptions. These limitations reduce the precision of transportation health impact assessments. 

This project addresses data gaps in air quality and health outcomes by integrating AI-generated data with  traditional modeling techniques. Bridging the data gap is essential to improving exposure assessments and provide a more comprehensive understanding of transportation-related health effects. The research develops and trains generative AI models for data augmentation, using harmonized datasets to create high-fidelity modeled data that reflects real-world patterns. Furthermore, we integrate the trained AI models with air quality simulation models to estimated transportation-related air quality scenarios and assess potential health impacts.
 
The project produces a validated generative AI model for data augmentation, generating high-resolution datasets that enhance geographic and demographic granularity in transportation health research. The application of scenario-based health impact simulations provides new insights into the relationships between air quality and health outcomes, improving the ability to evaluate transportation-related interventions. By combining AI-driven data synthesis with traditional modeling approaches, this research advances methodologies for transportation and environmental health assessments, providing more reliable data for exposure studies and policy evaluations. 
]]></description>
      <pubDate>Tue, 13 Jan 2026 16:10:26 GMT</pubDate>
      <guid>https://rip.trb.org/View/2652171</guid>
    </item>
    <item>
      <title>Health and Activity Impacts of Student Commute Modes</title>
      <link>https://rip.trb.org/View/2652176</link>
      <description><![CDATA[Active school transportation can profoundly influence children’s health, safety, and wellbeing. This project will investigate how different school commute modes – walking, bicycling, school bus, or private car – affect student physical activity and health, exposure to traffic-related air pollutants, safety, and travel disparity. Focusing on Texas school districts that currently or historically participate in Safe Routes to School (SRTS) programs, we will combine new data collection with existing evidence to evaluate the benefits and challenges of various commute modes. The study will also examine how shifting school trips to active modes may reduce vehicle emissions near schools and improve air quality. We will conduct surveys to quantify students’ physical activity during commutes, assess their exposure to emissions, and gauge perceptions of safety. Recent literature (2015–2025) will be synthesized to identify how school transportation choices affect student health (e.g. obesity, respiratory health, mental wellbeing) and safety outcomes, including disparities by socioeconomic status and geography. By evaluating SRTS interventions’ effectiveness in Texas communities, the project will fill critical gaps in understanding the multi-faceted impacts of commute mode on student wellbeing. Expected outcomes include practical recommendations for school districts and transportation agencies to design safer, healthier school travel environments. ]]></description>
      <pubDate>Tue, 13 Jan 2026 15:25:48 GMT</pubDate>
      <guid>https://rip.trb.org/View/2652176</guid>
    </item>
    <item>
      <title>Transportation and Mental Health in Central Texas Using 211 Call Center Data – An Exploratory Analysis</title>
      <link>https://rip.trb.org/View/2652177</link>
      <description><![CDATA[Mental health is an important part of an individual’s well-being and has been included as a key topic by the U.S. Centers for Disease Control and Prevention. Lack of access to affordable and efficient transportation can isolate individuals, limiting their ability to maintain employment, attend healthcare appointments, or engage in social and recreational activities—all of which are vital for mental well-being.  Long commutes, traffic congestion, and unreliable transit can contribute to chronic stress, anxiety, and fatigue, especially in urban environments. Active transportation options like walking and cycling not only reduce stress but also promote physical activity, which can reduce symptoms of depression.  
The research project aims to understand the multifaceted relationships between transportation and mental health by conducting a literature review using Latent Dirichlet Allocation (LDA) in topic modeling to identify prevailing themes and research trends in transportation and mental health. Also, through collaboration with United Way for Greater Austin, this project will incorporate insights from 211 Call Center staff and volunteers to better understand transportation-related mental health concerns, from a frontline service perspective. The project will then analyze 211 Call Center data provided by the United Way for Greater Austin. This analysis will explore spatial and temporal variations in mental health-related issues and examine how transportation correlates with mental health concerns. Caller comments, when available, will complement the quantitative data by providing personal context and deepening the understanding of lived experiences. Ultimately, the findings will inform policy recommendations aimed at addressing transportation barriers as a means to improve mental health outcomes in communities.    
]]></description>
      <pubDate>Tue, 13 Jan 2026 15:19:02 GMT</pubDate>
      <guid>https://rip.trb.org/View/2652177</guid>
    </item>
    <item>
      <title>Integrated Transportation and Health Impact Modeling Tool for U.S. Cities </title>
      <link>https://rip.trb.org/View/2652180</link>
      <description><![CDATA[The health of the American people is a national priority, and ensuring that transportation policies support strong communities, economic prosperity, and public well-being is a critical challenge that requires holistic solutions. This project will deliver groundbreaking research that directly informs transportation policies to improve traffic safety, air quality, and physical activity among transportation users in major American cities. These policies will help reduce preventable health burdens, cut healthcare costs, and enhance both community well-being and the cost-efficiency of our transportation systems. In the first stage of this project, we will review and update the underlying literature to refine and potentially extend the framework. We will develop updated visualizations to help transportation and public health agencies identify and communicate the various pathways linking transportation and health. By incorporating new evidence and addressing critical gaps, we will ensure the framework remains relevant for shaping future transportation policies at local, state, and national levels. During this stage, we will engage key stakeholders—such as transportation and public health agencies—by presenting our updated model, gathering their feedback, and enhancing our understanding of how transportation choices impact health outcomes. 
In the second stage, we will systematically collect, clean, quality-assess, harmonize, and integrate data from diverse sources to underpin subsequent quantitative modeling. This modeling exercise will examine pathways related to vehicle crashes/traffic safety, transportation-related air pollution, transportation-related physical activity, and any additional pathways deemed feasible for quantitative modeling based on data availability and strength of evidence. The data sources will include census population counts, geographic information system layers, transportation network layers and average vehicle speed data, household travel surveys, physical activity surveys, police crash records for fatal and non-fatal incidents, baseline health outcome rates, and associations between transportation factors and health outcomes as derived from systematic reviews and meta-analyses (i.e., dose- and exposure-response functions). This will allow us to construct a detailed and representative model of American mobility patterns, their health impacts through safety, air quality, and physical activity, and how targeted policies can mitigate risks and enhance benefits holistically across these pathways. We will focus on practical solutions that include policy instruments such as shifting a portion of trips to electric vehicles, electric buses, and electric bikes—while ensuring alignment with existing travel survey data for realism. 
]]></description>
      <pubDate>Tue, 13 Jan 2026 15:05:48 GMT</pubDate>
      <guid>https://rip.trb.org/View/2652180</guid>
    </item>
    <item>
      <title>Real-Time Corridor Modeling and Health Impact Assessment using Dynamic Vehicle Fleet Composition Data</title>
      <link>https://rip.trb.org/View/2652183</link>
      <description><![CDATA[Urban transportation systems support personal mobility, but are also a significant source of air pollution, with disproportionate impacts on communities near high-traffic corridors.  If electric vehicle (EV) adoption continues to increase, pollutant concentration distributions will change, potentially requiring more detailed assessments of air quality and health impacts.  Traditional air quality impact assessment for transportation projects employs microscale modeling using the MOVES and AERMOD models.  These models rely heavily on fleet composition data (vehicle classes, ages, and fuel types), yet existing assumptions often fail to capture the spatial and temporal variability in vehicle usage.  For example, research in Atlanta has revealed that the on-road freeway fleet during the morning peak tends to be a lot younger (and cleaner) than the average vehicle fleet, likely because commuters take their best vehicles to work.  This research to be conducted in this proposed project will develop an integrated framework that combines real-time traffic simulation, air quality impact assessment, and health impact assessment to assess the effects of different vehicle fleets on air quality and public health.  Using the TransportSim model, MOVES model, and AERMOD dispersion model, this study will analyze vehicle fleet dynamics across multiple urban corridors in the Atlanta metro area for different fleet compositions.  The research results will also identify shifts in pollutant concentration hotspots and their implications in spatial health impact assessment across neighborhoods as EVs enter the fleet.  By improving the accuracy of corridor-level pollutant modeling, this study will support the identification of strategies designed to mitigate air pollution and protect public health.  ]]></description>
      <pubDate>Tue, 13 Jan 2026 14:20:30 GMT</pubDate>
      <guid>https://rip.trb.org/View/2652183</guid>
    </item>
    <item>
      <title>Promoting Teachers' and Young Learners' Engagement of Transportation Issues</title>
      <link>https://rip.trb.org/View/2652184</link>
      <description><![CDATA[This project will develop, implement, and distribute standards-aligned curriculum that focuses on real-world transportation issues to include stormwater runoff and erosion mitigation and air quality issues. The curriculum will serve as educative curriculum materials (ECM) for teachers as they engage students with research-based instruction focused on Texas Transportation Institute (TTI) and transportation industry research and recommendations, science content ideas (e.g., water cycle, erosion), and non-science considerations (e.g., economic, ethical, social, legal). The curriculum will also profile the authentic work of TTI researchers, other science, technology, engineering, and mathematics (STEM)  professionals, and the characteristics of their work. Research will be conducted on how professional and curriculum development affects knowledge bases and practices, and how implemented curriculum impacts students’ knowledge of science and engagement of real-world societally important scientific issues.   ]]></description>
      <pubDate>Tue, 13 Jan 2026 14:13:31 GMT</pubDate>
      <guid>https://rip.trb.org/View/2652184</guid>
    </item>
    <item>
      <title>Assessing Healthcare Transportation Access in a Rural Vermont Community</title>
      <link>https://rip.trb.org/View/2640183</link>
      <description><![CDATA[Rural regions often face limited transportation infrastructure, few mobility options, and population characteristics that can reduce access to healthcare. In Orange County, Vermont, many residents, including older adults and individuals with health or financial challenges, struggle to reach medical appointments due to a lack of transit services and the absence of sidewalks or bike lanes. These conditions create obstacles to receiving timely care and increase safety risks for people who must travel in environments that do not support their needs.

This project uses a community based participatory research approach to engage residents, healthcare providers, and transportation partners in identifying local travel challenges. The study will combine interviews, focus groups, community forums, surveys, and regional data to document transportation barriers and locate gaps in the current network. The findings will support recommendations that reflect community priorities and will guide efforts to improve safe travel to healthcare facilities for rural Vermonters.]]></description>
      <pubDate>Thu, 11 Dec 2025 13:06:22 GMT</pubDate>
      <guid>https://rip.trb.org/View/2640183</guid>
    </item>
    <item>
      <title>Leveraging Emerging Technologies to Support Accessible Communication in Transit for Riders Who Are Deaf/Hard-of-Hearing</title>
      <link>https://rip.trb.org/View/2636144</link>
      <description><![CDATA[Public transportation systems increasingly rely on real-time information, digital alerts, and audible public announcements to support safe and reliable travel. Yet riders who are deaf or hard of hearing continue to face significant communication barriers across bus, rail, and station environments. These barriers affect not only convenience but also personal safety, particularly during emergencies or service disruptions when timely, actionable information is essential. Although the U.S. population of older adults is growing—and age-related hearing loss is becoming more prevalent—current transit communication systems have not kept pace with the range of hearing-related, cognitive, and hidden disabilities that affect navigation and comprehension in transit settings.

Little research exists that specifically addresses communication accessibility for deaf and hard-of-hearing riders. Most existing disability research and accessibility investments center on physical or mobility impairments, and current transportation data systems do not consistently capture the experiences or needs of riders with hearing loss or communication-related disabilities. As a result, important gaps remain in understanding how these riders experience the system, how they respond to information, and how emerging technologies could improve communication and reduce barriers. These gaps affect urban, suburban, rural, and small agencies alike—many of whom lack the technical staff or funding to test new accessibility solutions.

At the same time, rapid advances in communication technology, wayfinding tools, and real-time interpretation services offer promising opportunities. For example, the New York MTA’s pilot deployment of instant, on-demand ASL interpretation via QR code access demonstrates the potential of low-cost, scalable solutions to enhance communication, increase trust, and improve rider experience. Other agencies may be testing similar tools, but documentation is sparse and lessons are not widely shared. A clearer understanding of what technologies are available, how they perform, and how they might be deployed in systems of varying sizes is essential to modernizing access for riders who are deaf/hard of hearing.

This topic also intersects with other disabilities—such as cognitive disabilities, sensory processing conditions, or neurodivergence—where improved communication design could benefit multiple rider populations. While some TCRP research examine broader disability access questions, there is a compelling need for a focused investigation into hearing-related communication needs within transit, while also identifying where alignment or shared standards could support cross-disability improvements.]]></description>
      <pubDate>Mon, 08 Dec 2025 19:52:37 GMT</pubDate>
      <guid>https://rip.trb.org/View/2636144</guid>
    </item>
    <item>
      <title>Mitigating Age-Related Mobility Impediments to Using Transit</title>
      <link>https://rip.trb.org/View/2636142</link>
      <description><![CDATA[Public transportation plays a critical role in supporting independent mobility for older adults, yet transit use consistently declines with age. Many older riders reduce their trip-making altogether or rely increasingly on family members or demand-responsive services. This trend has significant operational and financial implications for transit agencies: demand-responsive trips cost several times more than fixed-route service and require advance reservations, placing strain on both riders and providers. As the U.S. population ages, and as many small, rural, and suburban agencies experience rising paratransit demand, the need to better understand—and proactively address—age-related mobility impediments is becoming urgent.

Traditional transit accessibility efforts have centered largely on riders with vision impairments or those who use mobility devices, consistent with Americans with Disabilities Act (ADA) requirements. However, aging brings a much broader spectrum of mobility-affecting conditions, many of which are under-recognized in transit planning and design. These include changes in balance, fatigue, muscle strength, hearing, cognition, depth perception, fine motor skills, anxiety, and sensory processing—and may also include neurodivergent and other “hidden” disabilities that are not immediately apparent. Despite older adults being one of the fastest-growing rider segments, they are often left out of access conversations that prioritize wheelchairs, strollers, or general ADA compliance.

These challenges are compounded by ongoing barriers in the built environment. Research shows that a significant share of transit stations remain out of full ADA compliance, and many more have inadequate lighting, poor signage, difficult audio systems, or long vertical circulation paths that are challenging for aging riders. As a result, many older adults avoid certain stations, routes, or times of day—or disengage from transit entirely, creating social isolation and diminished access to healthcare, employment, and community activities.

Although the research base on aging and mobility is extensive, there remain critical gaps in understanding the full range of age-related impediments, how they manifest in transit environments, and which mitigation strategies are most effective across different operating contexts. Agencies need clearer, evidence-based guidance to help them address these issues—not only in major urban systems, but also in the small and rural agencies that often serve high proportions of older riders.]]></description>
      <pubDate>Mon, 08 Dec 2025 19:45:55 GMT</pubDate>
      <guid>https://rip.trb.org/View/2636142</guid>
    </item>
    <item>
      <title>Legal Aspects of Airport Programs. Topic 18-01. Legal Responsibilities Arising Out of the Americans with Disabilities Act and Air Carrier Access Act</title>
      <link>https://rip.trb.org/View/2625813</link>
      <description><![CDATA[The Americans with Disabilities Act (ADA) and the Air Carrier Access Act (ACAA) ensure the rights and accommodations of individuals with disabilities in the United States. The ADA provides a comprehensive national mandate for the elimination of discrimination against individuals with disabilities, including in employment, public accommodations, and transportation. The ACAA addresses the rights of passengers with disabilities in air travel and requires airlines to accommodate the needs of these individuals.    

Airlines and airports play critical roles in implementing these laws. Airlines are responsible for ensuring that their services, from booking to boarding, are accessible, while airports must provide accessible facilities. The Federal Aviation Administration (FAA) and the U.S. Department of Transportation (DOT) also have regulatory authority over air travel, including consumer protections, safety, and operational standards. While FAA's primary focus is on safety and efficiency of the national airspace system, it plays a supporting role in ensuring compliance with accessibility standards through various policies and guidance. It includes collaboration with the DOT, the U.S. Department of Justice (DOJ), and other agencies to ensure that regulations and guidance related to disability accommodations are upheld. However, the intersection of the ADA and ACAA can create challenges, as the ADA covers public spaces such as airport terminals, and the ACAA governs the treatment of passengers by airlines within the airport terminal.

The objective of this research is to examine the legal obligations for airports and airlines arising out of the ADA and the ACAA, including accommodations for visible and invisible physical and mental impairments that substantially limit one or more major life activities. ]]></description>
      <pubDate>Thu, 20 Nov 2025 16:04:03 GMT</pubDate>
      <guid>https://rip.trb.org/View/2625813</guid>
    </item>
    <item>
      <title>Investing in Talent for Next-Generation Transportation Engineering
</title>
      <link>https://rip.trb.org/View/2627155</link>
      <description><![CDATA[Recent federal investments in infrastructure necessitate a surge in transportation engineering graduates, yet recruitment and retention pose challenges due to mismatches between job supply and degree pursuits, compensation, benefits, and work-life balance. Research by the Northeast Transportation Workforce Center and National Transportation Career Pathways Initiative highlights these issues, but gaps remain in state department of transportation (DOT) strategies. Moreover, there is a pressing need for diversity in the engineering workforce to reflect the United States demographics. This research aligns with the Mid-America Transportation Center (MATC) focus on education and workforce development, aiming to enhance workforce diversity, which is crucial for inclusive transportation planning and safety. The purpose of this study is to explore the age gap within state transportation engineering jobs. The following research question will be addressed: In what ways do state departments of transportation in the midwestern United States attract or detract new engineers to state transportation engineering jobs based on current policy structures?
]]></description>
      <pubDate>Wed, 19 Nov 2025 14:58:25 GMT</pubDate>
      <guid>https://rip.trb.org/View/2627155</guid>
    </item>
  </channel>
</rss>