Crosscuts
Research highlights from the CLEETS Crosscuts team.
About this research thrust
This research thrust aims to develop decision support tools for equitable and just transportation decarbonization, with a focus on integrating community input and addressing environmental issues. The central goal is to create a visual analytics toolkit that will enable communities and policymakers to make informed, evidence-based decisions regarding clean transportation pathways. The toolkit will be designed using participatory and iterative methods to ensure inclusivity, integrating physical infrastructure data (e.g., street networks, census tracts) and multivariate thematic data (e.g., climate simulations, demographics) into easy-to-use visualizations. The tool will empower users to simulate various decarbonization scenarios, analyze potential impacts, and consider how different policies could affect vulnerable communities over time. This effort will help ensure that decarbonization efforts are not only effective but also equitable, addressing both current concerns and future challenges.
The effort will be organized across six key tasks:
- Development of the decision support tool, leveraging existing tools to address environmental issues. This task will integrate data on transportation infrastructure, climate impacts, and demographic information to visualize the consequences of decarbonization policies for different communities.
- Public health and economic impacts of decarbonization, combining air quality data, health metrics, and economic modeling to evaluate both co-benefits and potential risks.
- Examines governance and policy, analyzing how different governance structures and policy instruments can enable or constrain successful decarbonization.
- Addresses data and cybersecurity challenges, creating a framework for securely integrating data from various sources, ensuring privacy, and assessing the vulnerabilities in data exchange protocols in the transportation and energy sectors.
- Complexities of clean energy systems, developing models that capture the dynamics between transportation electrification and energy production to guide the design of resilient and integrated infrastructure.
- Iterative modeling and scenario co-production with local stakeholders, using participatory workshops and decision theatres to refine decarbonization pathways based on local needs, preferences, and technological constraints.
Together, these tasks aim to provide a comprehensive decision support framework for clean transportation decarbonization that incorporates a broad range of perspectives, integrates public health and economic considerations, and supports effective governance and data security measures. The final toolkit will allow stakeholders to assess the impacts of different policies and strategies, ensuring that the decarbonization process is both effective and just for all communities.
Research Highlights from Crosscuts
Adaptive Reinforcement Learning for Autonomous Cyber Defense in Critical Infrastructure
Crosscuts
Autonomous, learning-based defence for EV charging networks and other critical infrastructure increasingly exposed to sophisticated cyberattacks.
Sep 4, 2025 · Read more →
ClimBridge: Physics-Aware Surrogates Linking Transport Choices to Air Quality
Crosscuts
Fast, physics-aware surrogate models connecting transport behaviour and infrastructure to air-quality outcomes and routing choices, piloted in Birmingham and scaling to multi-pollutant regional fields.
Sep 4, 2025 · Read more →
Flood Simulation Analysis with Urbanite
Crosscuts
A dataflow framework that lets urban experts run, adjust and document complex flood simulations, integrating building and surface data with the SynxFlow engine and UTK visualization.
Sep 3, 2025 · Read more →
Exploring Attitudes towards EV Transition with Increasing Market Expansion
Crosscuts
Analysis of UK travel-attitude survey data identifying four factors shaping EV adoption: resistance to transition, policy awareness, second-hand and maintenance concerns, and affordability.
Sep 4, 2025 · Read more →
Innovative Mobility Data Collection with VR and 3D Gaussian Splatting
Crosscuts
A new workflow for active-mobility data collection using VR and 3D Gaussian Splatting to create photo-realistic urban scenes for controlled, first-person studies.
Sep 4, 2025 · Read more →
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