VisionEval Transportation Modeling: A Strategic Planning Framework

What Is VisionEval?

VisionEval is an open-source strategic transportation modeling framework developed by FHWA (Federal Highway Administration) and supported by a consortium of state DOTs and metropolitan planning organizations. Unlike detailed microsimulation tools, VisionEval operates at the macro-strategic level, allowing planners to rapidly assess how policies, land use patterns, and economic factors influence transportation outcomes across entire regions.

At its core, VisionEval asks: "What if we implemented this policy? How would our transportation system respond?" This scenario-based approach makes it invaluable for long-range planning, climate commitments, and policy evaluation.

Core VisionEval Modules

VisionEval's modular architecture lets agencies use only the components they need. Here are three foundational modules:

VE-RSPM (Regional Strategic Planning Model)

VE-RSPM is the workhorse of regional transportation planning. It models how households, vehicles, and travel patterns respond to changes in:

• Land use density and mixed-use development
• Public transit availability and service frequency
• Parking policy and vehicle charging infrastructure
• Fuel prices, vehicle technology adoption, and powertrain shifts
• Income levels and demographic trends

The model outputs vehicle miles traveled (VMT), carbon emissions, congestion, equity metrics, and household transportation costs—all critical for measuring progress toward sustainability goals.

VE-State (Statewide Model)

For states pursuing long-range visions or climate legislation compliance, VE-State aggregates regional patterns into statewide assessments. This module is ideal for evaluating how policies cascade across metropolitan areas, mid-sized cities, and rural regions. Oregon DOT has leveraged VE-State to test pathways toward their transportation emissions reduction goals.

VE-PowertrainsAndFuels

This module models the adoption of alternative powertrains—EVs, hydrogen, biofuels—under different scenarios. It accounts for vehicle costs, charging availability, fuel prices, and consumer preferences, helping agencies understand how fleet electrification interacts with broader transportation strategies.

A Real-World Application: Oregon DOT

Oregon Department of Transportation used VisionEval to inform statewide transportation strategy and support climate-related legislation. By modeling scenarios—from aggressive transit investment to land use reform to vehicle electrification—ODOT quantified the combined effects of multiple policies and identified high-impact levers.

This scenario-based evidence helped ODOT and stakeholders align on which investments would move the needle most effectively, transforming abstract climate commitments into concrete, testable strategies. We at Harospec Data helped design the modeling framework and data pipeline that made this analysis possible.

See our full case study at Oregon Decision Support Web Tools.

Why VisionEval for Strategic Planning?

Speed and Flexibility

VisionEval runs complete scenarios in minutes to hours—not weeks. This agility lets planners test dozens of policy combinations and rapidly iterate toward evidence-based recommendations.

Policy Transparency

The model clearly connects policy inputs to outcomes, making it easy to explain to elected officials and the public: "If we invest X in transit and rezone Y square miles, we expect Z% reduction in VMT." This transparency builds political will.

Equity Insights

VisionEval tracks impacts across income levels, revealing which groups benefit—or bear the cost—of proposed policies. This is essential for equitable transportation planning.

R-Powered Customization

VisionEval is written in R, a language beloved by data scientists and statisticians. This means you can extend the model, validate assumptions, and craft custom analyses—exactly what we do at Harospec Data.

Getting Started with VisionEval

If your agency is considering VisionEval, start small. Gather baseline data on your region—land use, employment, transit networks, vehicle ownership—and run a simple reference scenario. Then progressively add policy levers: transit expansion, congestion pricing, electrification targets. Document assumptions and outputs at each step.

The open-source VisionEval community is active and supportive. Documentation, sample data, and case studies are freely available on the VisionEval website.

How Harospec Data Helps

We specialize in building and customizing strategic transportation models. Our team has hands-on experience with:

• Data collection and preparation for regional and statewide models
• Scenario design and sensitivity analysis
• Custom dashboards and reporting tools to communicate results
• R-based model extensions and validation
• Training and capacity building for planning staff

If you're exploring VisionEval or other strategic planning tools, we'd love to help you design a roadmap. Learn more about our data science and transportation modeling services, or visit our transportation expertise page.