Joel Freedman is a nationally recognized leader in the development and application of advanced travel demand forecasting models. With over 30 years of experience, he offers client services in all aspects of travel demand modeling: travel survey design, model design, estimation, software implementation, validation, and application.
Joel’s model development experience includes the development of trip- and activity-based travel demand models for some of the largest and most complex metropolitan regions in the United States and large-scale integrated models of land use and transportation for state departments of transportation. He has provided travel forecasting support on numerous successful transit New Starts projects and has been involved in a number of toll and revenue forecasts for public sector clients. Complimenting his modeling work, Joel is a skilled programmer with expertise in FORTRAN, C++, Java, and Python.
In addition to project work, Joel enjoys teaching and has served as an adjunct faculty member at Portland State University School of Urban Affairs and Department of Civil Engineering. He is a certified instructor for the National Highway Institute.
Joel lives in Portland, Oregon. He enjoys outdoor activities including hiking, backpacking, and skiing, and practices woodworking on the rare occasions the Pacific Northwest rain keeps him indoors.