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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
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    <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>
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      <title>Shared Space Safety: A Study of Campus Travel and Mixed Mode Interactions</title>
      <link>https://rip.trb.org/View/2625580</link>
      <description><![CDATA[A study of campus travel and mixed-mode interactions will develop a data-driven baseline of safety conditions on Hilltop Way at San Diego State University—a steep roadway where pedestrians, skateboarders, scooter users, cyclists, and vehicles frequently converge, creating conflicts during class transitions. Video data collected from both ground-level cameras and aerial drone footage will capture user behaviors, travel speeds, yielding patterns, and near-miss events. Analytical techniques such as post-encroachment time (PET) and computer-vision–based variable extraction will be applied to quantify the frequency and severity of potential conflicts. The resulting dataset and safety assessment framework will enable rigorous before–after evaluations of future countermeasures introduced by the university, allowing their effectiveness to be measured in terms of changes in near-crash indicators and interaction dynamics. The project’s outputs—including annotated datasets, analysis tools, and methodological guidelines—will provide a transferable model for studying multimodal safety on shared streets, advancing United States Department of Transportation priorities in safety, innovation, and data-driven decision-making.]]></description>
      <pubDate>Tue, 18 Nov 2025 15:50:52 GMT</pubDate>
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      <title>Distribution of Potential Benefits across Stakeholder Groups for Shared Electric Vehicles Serving Multi-University Commute Travel</title>
      <link>https://rip.trb.org/View/2008007</link>
      <description><![CDATA[Transit, shared mobility, and vehicle electrification serve as major enablers of transportation decarbonization. Several shared mobility have been offered in the US and abroad, with a major focus on implementation on university campuses and at airports. However, combined offerings of shared and electric vehicles providing on-demand service rather than route-based service are still 
forthcoming. In this proposed project, we will assess the greenhouse gas (GHG) reduction potential and potential equity impacts of the deployment of shared electric vehicles servicing student, faculty, and staff commute travel to and from three university campuses), REDACTED assess the distribution of accessibility benefits across these cohorts and across demographic groups within these cohorts, and characterize the policy implications of widespread implementation of such university transportation systems. This research project will (1) identify the potential users and use cases of shared electric vehicles serving university commute travel; (2) estimate the potential for GHG reduction and other benefits for different technology deployment and policy scenarios; (3) assess the distributional differences of the estimated benefits across stakeholder groups; and (4) recommend measures to remove barriers to adoption of shared electric vehicles and increase equitable shared electric fleet programs. In this project, the three teams will conduct a survey of potential users of shared and electric fleet. To this end, all three campuses will utilize the large scale transportation survey data to obtain sociodemographic and travel behavior characteristics of the students, staff, and faculty. To characterize energy use and emissions from the existing transportation system and the system after the anticipated shift in commute activity to shared-use vehicles will be conducted using MOVES-Matrix and the Georgia Tech Fuel and Emissions Calculator (FEC). The team will assess how these costs and benefits are distributed across the student, faculty, and staff user groups by income, race, and other demographic factors. The results of this project can be used in long-range planning for shared electric programs in complex, multi-stakeholder institutional environments.
]]></description>
      <pubDate>Tue, 16 Aug 2022 18:26:24 GMT</pubDate>
      <guid>https://rip.trb.org/View/2008007</guid>
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      <title>Digital Twin Technologies Towards Understanding the Interactions between Transportation and other Civil Infrastructure Systems</title>
      <link>https://rip.trb.org/View/1844352</link>
      <description><![CDATA[The project is focused on developing a digital twin (DT) model of a university campus with an emphasis on transportation infrastructure. The model will enable the team to study the effectiveness of DT for improving the system’s performance. The goal is to demonstrate the usefulness of the DT technology to optimize civil infrastructure design and management. More specifically, this project aims to develop a digital shadow of campus civil infrastructure (micro-level) and visualize impacts of construction project schedule on the surrounding transportation infrastructure. Various impact scenarios will be created using virtual reality and project outcomes will be shared through a stakeholder engagement workshop.]]></description>
      <pubDate>Thu, 01 Apr 2021 19:25:15 GMT</pubDate>
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