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    <title>Research in Progress (RIP)</title>
    <link>https://rip.trb.org/</link>
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    <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>
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      <title>Research in Progress (RIP)</title>
      <url>https://rip.trb.org/Images/PageHeader-wTitle-RIP.jpg</url>
      <link>https://rip.trb.org/</link>
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    <item>
      <title>How do perceptions of transportation challenges influence travel behavior for people with disabilities?</title>
      <link>https://rip.trb.org/View/2702517</link>
      <description><![CDATA[Although it has been over thirty years since the Americans with Disabilities Act (ADA) was enacted, people with disabilities—who represent approximately one-quarter of the U.S. population—continue to face significant barriers to mobility and access. They tend to make fewer trips and are more reliant on others, largely due to shortcomings in pedestrian infrastructure, transit, and for-hire vehicle services, and specialized paratransit options, as well as the negative attitude of drivers to them. While substantial research has documented the wide range of mobility and access challenges faced by people with disabilities, there has been limited investigation into how these challenges affect their mode choice decisions. This project will develop and administer a web-based survey, targeting a sample of California residents with disabilities, to explore how disability shapes mode choice, factoring in perceptions of the inaccessibility of transportation infrastructure, mode design-induced challenges, and ableism faced while travelling by different modes. This project will explore how these problems influence their willingness to use paratransit and trip frequency to activity centers. The research team will apply various analytical techniques, including descriptive statistics, basic comparative statistical tests, and multinomial logistic regression, to address the research questions. To ensure the survey is relevant and impactful, the team will collaborate with organizations serving people with disabilities, both to inform the survey design and to disseminate findings that support broader universal access goals shared by these organizations and public agencies.]]></description>
      <pubDate>Thu, 14 May 2026 16:54:31 GMT</pubDate>
      <guid>https://rip.trb.org/View/2702517</guid>
    </item>
    <item>
      <title>Evaluating Behavioral Responses to Mobility Credits and Ridehailing Integration in a Digital Mobility System</title>
      <link>https://rip.trb.org/View/2702725</link>
      <description><![CDATA[Digital mobility platforms are increasingly adopted by public agencies to coordinate multimodal travel, streamline fare payment, and improve efficiency. However, there is limited empirical evidence on how users respond to platform-based incentives and integrated services in real-world settings, as most studies rely on stated preference data or simulations. This project analyzes user behavior on Vamos-EZHub, a public digital mobility platform that integrates trip planning, fare payment, and access to services including local transit and ridehailing. It evaluates behavioral responses to two sequential interventions on Vamos-EZHub: (1) the introduction of prepaid mobility credits and (2) the integration of a transit-triggered ridehailing credit. 

Using longitudinal platform telemetry, ridehailing trip records, transit fare activation data, and General Transit Feed Specification (GTFS) data, the project examines how mobility and ridehailing credits affect platform engagement, transit and ridehailing use, first/last-mile connectivity, and spatial and temporal patterns of linked travel. Two-way fixed effects and event-study models are used to identify behavioral changes associated with each intervention. A geospatial-temporal algorithm classifies ridehailing trips connecting to transit, and stop- level regression models identify transit service and network characteristics associated with demand for linked trips. 

Expected outcomes include quantitative estimates of the influence of mobility credits and ridehailing integration on multimodal coordination, identification of service characteristics associated with higher demand for linked trips, and a reproducible analytical framework. The results will inform data-driven platform design, operational planning, and integration strategies for public agencies managing digital mobility platforms, while providing evidence to guide coordination with private ridehailing partners to improve system efficiency and reliability.]]></description>
      <pubDate>Thu, 14 May 2026 16:36:40 GMT</pubDate>
      <guid>https://rip.trb.org/View/2702725</guid>
    </item>
    <item>
      <title>Car or Public Transit? Exploring Factors Affecting Mode Choice in the Mobility of Care</title>
      <link>https://rip.trb.org/View/2696849</link>
      <description><![CDATA[This project explores the factors affecting mode choice decisions in the mobility of care. By applying the discrete choice modeling of Nested Logit (NL) and the Multiple Discrete Continuous Extreme Value (MDCEV) to the 2022 National Household Travel Survey (2022 NHTS), this study explores factors regarding where transit service may better accommodate travel needs in serving care trips. Also, it highlights how public transit contributes to reducing household travel generated by care trips. The researchers expect to obtain distinct characteristics of care trips and the socio-demographics of those who travel for care to inform the California Department of Transportation (Caltrans) which transit-related manuals, guidelines, and policies are critical to accommodate travel and their mobility of care. Results are also useful for transit agencies when considering aspects to improve their service in care trips.]]></description>
      <pubDate>Tue, 28 Apr 2026 11:10:44 GMT</pubDate>
      <guid>https://rip.trb.org/View/2696849</guid>
    </item>
    <item>
      <title>Lessons Learned on Mobility as a Service (MaaS): Exploring Opportunities and Barriers for the U.S. Context</title>
      <link>https://rip.trb.org/View/2696846</link>
      <description><![CDATA[Mobility as a Service (MaaS) packages can increase the popularity of alternatives to owning (and using) a personal vehicle, through the integration of multiple transportation services and options on the same platform. Several MaaS solutions have been proposed in Europe and other regions of the world. However, there is a dearth of research on MaaS in the US context. This study will be a starting point to fill that gap. In this study, the researchers will review MaaS experience from abroad and investigate the lessons learned on the way MaaS works, the various levels of integration possible on the MaaS platform, the type of transportation services that are offered, and the way (bundle) payments and fare integration are handled. The study will then build US-specific knowledge on the potential attractiveness of MaaS-type mobility packages through hosting focus group discussions with groups of travelers, to identify their potential openness to adopt MaaS services, the perceived benefits that would be derived from their use, and the characteristics that MaaS solutions should have to (eventually) be attractive among selected groups of US travelers. The findings from this study will help understand what realistic paths may exist to integrate public transit and shared mobility solutions to expand travel options in the US, and how effectively these options might encourage travelers to increase travel multimodality and reduce their reliance on the use of private vehicles. This study will serve as a starting point for developing future larger studies on MaaS in the US context.]]></description>
      <pubDate>Tue, 28 Apr 2026 11:03:21 GMT</pubDate>
      <guid>https://rip.trb.org/View/2696846</guid>
    </item>
    <item>
      <title>Governance of Multimodal Planning: Examining Transit Corridor Planning Strategies in California</title>
      <link>https://rip.trb.org/View/2696845</link>
      <description><![CDATA[This project will evaluate sub-regional corridor-scale multimodal planning processes in California that aim to improve multi-modal access and mobility for reaching desired destinations (e.g. homes and residences). Research has demonstrated that transit and active transport use can be enhanced through coordinated planning of facilities and services on a corridor and/or travel network basis, especially when also coordinated with land use strategies. With some new and ambitious corridor/mobility-hub planning efforts currently underway in California, now is a good time to evaluate what makes them succeed or fail. Although the potential benefits from such strategies have been shown to be substantial, corridor-plus-station area planning faces considerable challenges, many of which concern the challenges of institutional coordination. Yet scant research has examined governance challenges of multimodal planning in California. This research project will address this neglected yet critical topic through case study analysis of selected current and past sub-regional corridor planning efforts in California. Through public documents analysis and interviews with stakeholders, the project will examine and compare the selected planning processes in relation to: stakeholders involved; goals, objectives, and operational measures established; planning and analytical processes/procedures pursued; stakeholder interests and concerns; policies, programs, and projects adopted and funded for implementing the objectives; and outcomes achieved (including measurable impacts for mode choice, VMT (Vehicle Miles Traveled), and access and mobility to desired destinations by mode). The project will identify best practices and obstacles and pitfalls for effective corridor planning and consider how the state government can support multimodal corridor planning, as these plans support the transformation of the transportation networks they cover by improving access to transportation modes and increasing travel mobility to desired destinations.]]></description>
      <pubDate>Tue, 28 Apr 2026 11:01:11 GMT</pubDate>
      <guid>https://rip.trb.org/View/2696845</guid>
    </item>
    <item>
      <title>Disability, Mode Perceptions, and Travel Behavior</title>
      <link>https://rip.trb.org/View/2695812</link>
      <description><![CDATA[Despite the more than three decades since the passage of the Americans with Disabilities Act (ADA), people with disabilities, which comprise roughly one quarter of the US population, still face considerable challenges to their mobility and access. They make fewer trips and are more dependent on others because of deficiencies in pedestrian infrastructure, transit and for-hire vehicles, and specialized paratransit services. While there is a considerable amount of research that identifies the breadth of mobility challenges and access barriers, limited research has addressed how these mobility challenges influence mode choice for people with disabilities. This project will develop and administer a web-based survey by oversampling California residents with disabilities to understand how disability influences mode choice, accounting for perceptions of the built environment and mode-specific challenges. The research team anticipates using several analytical methods to answer the research questions, including descriptive statistics, basic statistical tests of comparison, and multinomial logistic regression. The research team aims to engage with disability-serving organizations to ensure that the survey reflects real concerns and will provide meaningful data, and to share results in support of universal access goals that the organizations and public agencies are pursuing.]]></description>
      <pubDate>Thu, 23 Apr 2026 17:58:32 GMT</pubDate>
      <guid>https://rip.trb.org/View/2695812</guid>
    </item>
    <item>
      <title>Reducing empty miles of shared mobility on highway corridors</title>
      <link>https://rip.trb.org/View/2691661</link>
      <description><![CDATA[Smartphone-app-based technology has provided business opportunities to various demand-responsive urban transportation services, including e-hailing taxis, ride-pooling, and microtransit. These shared mobility services exhibit great potential for enhancing transportation services in rural communities. A common side effect, however, is a substantial portion of empty vehicle miles traveled (VMT) on highway corridors, which induces further congestion to highway traffic in peak hours. A quantitative analysis tool is necessary for planning agencies and policymakers to assess the impact of shared mobility on highway traffic. The researcher's recent work investigating ride-pooling systems serving uniformly distributed demands in a single community shows that their efficiency is highly sensitive to online matching schemes. This impact is expected to be even more significant in spatially imbalanced demand patterns, such as those between suburban/rural communities. This project will develop a traffic assignment model to allocate vehicular trips to corridor networks linking suburban and rural communities, which will assist policymakers in (1) understanding the relations between the spatial distribution of inter-community travel demands and excessive VMT; (2) identifying the most vulnerable corridors affected by shared mobility services; and (3) evaluating the potentials of various regulatory policies and public surcharges in reducing empty vehicle mileage. Ultimately, the analysis tool will enable planning agencies to explore practical measures to improve the accessibility of suburban and rural communities with shared mobility services.]]></description>
      <pubDate>Sun, 12 Apr 2026 23:16:30 GMT</pubDate>
      <guid>https://rip.trb.org/View/2691661</guid>
    </item>
    <item>
      <title>The San José's Mobility Credit Pilot: A Delayed Randomized Control Trial Evaluation</title>
      <link>https://rip.trb.org/View/2691659</link>
      <description><![CDATA[The San Jose Mobility Credit pilot (MCP) tests a new approach that allows individuals the freedom to travel when, where, and how they want to go. The pilot provides MCs that enable individuals to maximize travel while minimizing costs. Interest in these programs is growing throughout the U.S. The research team has experience evaluating similar programs in the U.S. The project will include a delayed longitudinal randomized control trial (RCT) to evaluate the MCP. The design of the 18-month MCP in-person participant recruitment, training, and support by the City of San Jose will support high participation and survey response rates. The study will be the first to use a delayed RCT design with a difference-in-differences (DID) statistical analysis to evaluate an MCP. In general, RCTs are rarely used to test the effectiveness of transportation projects and policies. The proposed study will evaluate the effects of the MCP, not only on individuals’ overall travel freedom, but also on transportation security (e.g., travel speed, time, and reliability), community participation (e.g., church, family, school, and volunteer activities), employment, education, and overall health (which could lead savings in health care costs). Few studies have evaluated the significance of transportation access interventions on these measures. The longer duration of the MCP may allow for a better assessment of evaluation measures. The MCP evaluation will be one of few studies that examine the causal effects (randomized control trial with difference-in-differences analysis) of a transportation intervention on multiple evaluation measures.]]></description>
      <pubDate>Sun, 12 Apr 2026 23:10:13 GMT</pubDate>
      <guid>https://rip.trb.org/View/2691659</guid>
    </item>
    <item>
      <title>Scaling Shared Autonomous Vehicle Services: Adoption, Demand, and System Implications</title>
      <link>https://rip.trb.org/View/2691658</link>
      <description><![CDATA[Autonomous vehicle (AV) operations are expanding across major U.S. cities, prompting public agencies and industry stakeholders to consider how shared AV services should be deployed, scaled, and integrated into existing transportation systems. Shared AVs have the potential to serve a wide range of travelers, including individuals who currently drive but may choose to use AVs occasionally, those seeking alternative travel options that allow more productive use of travel time, and travelers who may not consistently rely on a private vehicle for day-to-day transportation. Despite growing deployment, empirical evidence remains limited on how shared AV services will be adopted across regions, travel needs, and service contexts, and how their expansion can be guided to align with observed demand and system performance goals. Most prior AV studies were conducted before widespread deployment and relied on respondents with little to no direct exposure to AV services. As AV operations expand, more individuals are encountering these vehicles firsthand as passengers, road users, or through broader media exposure, creating a timely opportunity to reassess their implications for travel behavior and system-level outcomes. This transition from limited testing to sustained operations highlights the need for updated evidence that reflects current deployment conditions and real-world exposure. This study will generate policy-relevant evidence to support informed shared AV deployment by examining adoption expectations, anticipated use by trip purpose, and geographic variation across urban, suburban, and rural areas. Using data from the UC Davis Mobility Panel Survey and a targeted convenience sample from regions with active AV operations, researchers will analyze anticipated shared AV use for commuting, shopping, escorting, and healthcare travel. The project will also assess how service attributes such as pricing, wait times, and availability influence adoption and demand across various geographic contexts. By identifying where shared AV services are most likely to complement existing transportation services, the study will provide actionable guidance on deployment strategies, service design, and policy considerations, supporting policymakers and industry stakeholders in evaluating scaling pathways and system impacts as services expand.]]></description>
      <pubDate>Sun, 12 Apr 2026 23:06:23 GMT</pubDate>
      <guid>https://rip.trb.org/View/2691658</guid>
    </item>
    <item>
      <title>What Makes Complete Streets Projects Work?</title>
      <link>https://rip.trb.org/View/2690983</link>
      <description><![CDATA[This project will assess community reactions to complete streets projects that repurpose vehicular travel lanes or parking spaces for bicycle lanes, sidewalks or other pedestrian amenities, and/or transit-only or transit-priority lanes. The primary research goal is to better understand the decision-making processes – how and why cities have developed complete streets project proposals and engaged with stakeholders who may have competing interests and perspectives, such as local business owners, homeowner and community groups, bicycle and active transport groups, and public transportation agencies including Caltrans and relevant transit agencies. The project will explore whether and how stakeholder concerns overlap and align and where they do not, and how conflicts are addressed and resolved, when possible. The project will also explore whether stakeholder perspectives change over time (including after project completion). The primary research method will be to conduct case study research in a sample of communities which will vary by regional location and community type. The case studies will involve interviews of key stakeholders, a survey of local business owners, analysis of business revenue data, and document review. The findings will help planners and policymakers understand the political stakes and practical challenges involved in implementing complete streets projects, and how they can successfully be managed.]]></description>
      <pubDate>Thu, 09 Apr 2026 14:32:57 GMT</pubDate>
      <guid>https://rip.trb.org/View/2690983</guid>
    </item>
    <item>
      <title>Efficient Mobility for Rural Communities</title>
      <link>https://rip.trb.org/View/2683240</link>
      <description><![CDATA[Rural communities face unique transportation challenges due to low population density, dispersed destinations, and limited resources. Efficient mobility requires strategies that both optimize existing transit systems and embrace innovative service models. This project integrates two lines of research that can support efficient mobility and access to active modes and destinations in rural areas. The first focuses on right-sizing rural transit fleets and the second, on analyzing modal shifts from shared-use mobility services.  

On the vehicle procurement side, rural agencies must balance capital and operating costs, service quality, and reliability while meeting the capacity needs of their riders. When procuring vehicles, rural transit operators choose between transit buses, cutaways, vans, and minivans of various sizes. Each has its own advantages and disadvantages regarding capital costs, operating costs, performance, service quality, and ability to meet the needs of their users. This study builds upon previous research to develop spreadsheet-based user tools that can help rural agencies and state departments of transportation (DOTs) make these decisions. This research improves upon the decision tools developed in a previous study by incorporating new models for the capacity needs of rural transit. Previous decision tools provide guidance on the types and sizes of vehicles to procure but they lack the ability to estimate capacity needs for individual agencies. This study develops a vehicle procurement decision model that incorporates a more sophisticated capacity needs analysis. The result will be a tool that estimates capacity needs of an agency and provides guidance on the number, types, and sizes of vehicles that can best meet that capacity need while improving efficiency and meeting the unique needs of the transit agency.  

A second tool to be developed by the study is an optimization tool. The study will improve upon a previously developed optimization model by incorporating more detailed estimates for lifecycle costs of different types and sizes of vehicles. The study will consider transit buses, cutaways, vans, and minivans of different sizes and seating capacities and include more detailed analysis of the operating costs for each vehicle type and the overall lifecycle costs. This will be incorporated into an optimization model that will minimize total costs, including capital and operating costs, for an agency while meeting capacity needs and service requirements and considering the impact of the fleet configuration on service quality.  

At the same time, emerging technology-enabled shared-use services—such as ridesourcing, microtransit, bikesharing, and carsharing—are transforming mobility in rural areas. By analyzing National Household Travel Survey data and documenting real-world deployments, the study will evaluate adoption patterns, service models, and performance outcomes of rural shared-use systems. This analysis will identify factors contributing to the success or failure of shared-use mobility initiatives and provide actionable strategies for rural agencies and policymakers . ]]></description>
      <pubDate>Tue, 24 Mar 2026 14:22:18 GMT</pubDate>
      <guid>https://rip.trb.org/View/2683240</guid>
    </item>
    <item>
      <title>Data-Driven Tools for Transportation Efficiency and Community Health</title>
      <link>https://rip.trb.org/View/2677559</link>
      <description><![CDATA[Factors related to transportation and mobility of people and goods have an impact on communities. Atlanta’s twenty-five Neighborhood Planning Units (NPUs) play an important role in providing input to variety of issues and help shape transportation planning and prioritize development efforts in the city.  However, NPU’s often lack access to comprehensive, data-driven granular insights into transportation infrastructure, mobility and safety, and community impacts. This project will identify, inventory, and analyze available data to describe transportation efficiency, safety, and community issues and challenges in the city of Atlanta and present analytical results aimed to inform NPU leaders and promote effective understanding of transportation priorities at the local community level. The developed tools, rooted in geospatially driven analysis will empower NPU leaders to effectively advocate for local interest with city administrators and policymakers.  

In conjunction with viewing Atlanta holistically, this research aims to look closer and break down interconnected issues related to efficient mobility, safety, community health and derive detailed, localized strategies and metrics. By integrating transportation and other relevant datasets into a geospatial framework, this project will assist NPU leadership and stakeholders to prioritize and recommend targeted strategies to enhance mobility options and improve overall community well-being.   ]]></description>
      <pubDate>Thu, 05 Mar 2026 12:24:54 GMT</pubDate>
      <guid>https://rip.trb.org/View/2677559</guid>
    </item>
    <item>
      <title>UAM-enabled Multimodal Analysis of Transportation Systems for LA28 and beyond</title>
      <link>https://rip.trb.org/View/2676008</link>
      <description><![CDATA[The Los Angeles region has long been projected as a testing ground for urban air mobility (UAM), comprised of air taxis and drone delivery, given the region’s favorable climate, traffic problems, and tech-savvy ecosystem. The LA28 Olympic and Paralympic Games present an opportunity to make such a testing ground a reality. This project will model the potential for mode shifts, from ground to air taxi modes, with the LA28 Games as an initial case study. Modeling mode shift requires modeling the operation of an air taxi system. For that reason, this project will develop algorithms for optimal dispatch operation of a network of air taxis during LA28 and thereafter, and use those results to study the resulting mode shift from other ground-based modes of transportation. The results of this research can inform the work of the White House Task Force on the 2028 Summer Olympics (Established by Executive Order 14328), which includes the Secretary of Transportation. The results will also be relevant to both the public and private sector entities planning Olympic Games travel. By developing improved dispatch operation models for air taxis in a major urban area, and then predicting mode shifts from/to other ground modes, this research will also develop knowledge that will be helpful throughout Region 9 and the U.S. and which can help accelerate the maturing of the air taxi sector.]]></description>
      <pubDate>Tue, 03 Mar 2026 16:34:37 GMT</pubDate>
      <guid>https://rip.trb.org/View/2676008</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>Center for Efficient Mobility (CEM) Innovation Accelerator</title>
      <link>https://rip.trb.org/View/2636170</link>
      <description><![CDATA[This project will establish an “Innovation Accelerator” for the Center for Efficient Mobility (CEM)  to act as an incubator for commercializing technologies related to healthy and efficient mobility. The CEM consortium led by the Texas A&M Transportation Institute (TTI) has already laid the groundwork for this effort through the identification of stakeholders and partners and the establishment of an innovation ecosystem to accelerate the development, adoption, and commercialization of new transportation technologies, in partnership with the Texas Department of Transportation.  This project will formalize the innovation ecosystem within CEM, supported by commercialization support and stakeholder engagement. It will include commercialization support from technology commercialization and licensing offices at TTI and the A&M System, with support from facilities at our partner institutions, and input and advice from stakeholders. Through support, seed funding, commercialization grants, and the necessary legal and business support, CEM will champion students, faculty, and researchers in their efforts to commercialize any intellectual property developed as part of the grant. CEM will leverage the support of Texas A&M’s Innovation Office (https://innovation.tamus.edu/). CEM will also work with their counterparts at other consortium members such as Georgia Tech's CREATE-X and Quadrant-i initiatives (https://commercialization.gatech.edu/ ) and work with researchers, entrepreneurs, and investors to spin off new companies based on CEM research.   The key aspects of this project include:  Stakeholder Engagement – CEM will formalize a stakeholder engagement and advisory function to identify needs and problems that can be solved through research and technology developed by CEM; Innovation Ecosystem – Students, researchers, and faculty will be supported as they advance research outcomes. The innovation ecosystem will connect them to experts, entrepreneurs, and business communities. Testing facilities and seed funding will also be made available as needed to support technology development.  Commercialization Support -  Commercialization experts from within the consortium  will provide education,  technical support, legal and business support   to researchers who develop technologies with potential for commercialization.  ]]></description>
      <pubDate>Thu, 12 Feb 2026 15:56:30 GMT</pubDate>
      <guid>https://rip.trb.org/View/2636170</guid>
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