How Are Future Road Projects Chosen?

Transportation agencies must draft a Transportation Improvement Plan (TIP) to qualify for federal funding. The challenge? Growing populations and tight budgets. A study examined the criteria used by 20 metropolitan planning organizations in the U.S. Southeast to decide which projects enter the TIP. Researchers reviewed official documents and grouped the most common criteria into nine broad categories: safety, environmental impacts, mobility and connectivity, infrastructure preservation, environmental justice, equity, economic factors, alignment with other plans, and local support. Each category can contain sub‑criteria and specific metrics, such as accidents avoided or CO₂ emissions reduced. While weighting and scoring methods differ, common factors emerge that improve project selection: focusing on people’s safety, lowering environmental impact, enhancing accessibility for everyone, and ensuring community backing. These findings help planners develop more consistent and transparent criteria, making future transportation plans fairer and more sustainable.

The paper details the evaluation methods used by MPOs. Some agencies apply weighted scoring systems, assigning each criterion a percentage weight based on regional strategic priorities. Others use multicriteria analysis (MCA) with sensitivity testing to see how weight changes affect project rankings. Common metrics include accident rates per million vehicle‑kilometers (safety), CO₂ emissions per trip (environment), and accessibility indices to essential services (mobility). Equity is often measured via benefit distribution indices for low‑income neighborhoods and ethnic minorities, linking to environmental justice concepts. Alignment with existing plans—regional development or climate strategies—is assessed through an "alignment score" that checks proposal compatibility with long‑term goals. Local support is quantified through public surveys, letters of endorsement from local authorities, and social cost‑benefit analyses that capture intangible benefits like reduced travel time and improved quality of life. These practices illustrate how blending quantitative data with qualitative feedback can steer more transparent, evidence‑based decisions.