Data science-powered visitation and economic impact analysis
Radbridge leverages advanced methodologies including machine learning, geospatial analysis, and mobile location data to quantify economic impacts of outdoor recreation, restoration projects, and infrastructure investments.
We combine cutting-edge data science with traditional economic analysis to provide comprehensive assessments that capture both market and non-market benefits. Our innovative approaches overcome challenges of sparse visitation data by integrating mobile location analytics with observed data and robust economic modeling.
Our methodologies provide a defensible analysis that aim to incorporate the latest advances in spatial analytics and machine learning. We also quantify non-market benefits including consumer surplus, healthcare cost reductions, and ecosystem services alongside traditional economic multiplier effects.
Local, state, and national parks & trails, adventure parks, and whitewater parks
Watershed restoration, habitat enhancement, green infrastructure investments
Transportation, utilities, community facilities, resilience projects