Suzanne Childress
Twenty years in transportation data science: household travel surveys, equity analysis, travel demand modeling, and the infrastructure that makes regional data usable. Available for consulting, research collaboration, and peer review.
Household travel survey design and successful application in planning, equity analytics, discrete choice model estimation, forecast evaluation, uncertainty quantification, and travel demand modeling (activity-based and trip-based). Two decades estimating, validating, and explaining models whose outputs directly shaped transit investment, long-range plans, and state legislation.
Data warehouse design, reproducible analytical workflows, and Python/R/SQL pipelines that give agencies lasting analytical independence. Experienced transitioning consultant-built systems into documented, maintainable in-house products and building open-source tools that make regional data accessible to planners.
Program design and management for large-scale research initiatives, from sampling strategy through public data dissemination, including leading multi-year, multi-million-dollar survey programs and building analytical teams. New technique development, AV/AI evaluation methodology, and translating findings into investment recommendations and policy-facing documents. Available for advisory, peer review, and strategic leadership roles.
What the evidence framework reveals parking minimums
A project framework for systematic evidence on transportation interventions
What the two-axis framework reveals when you actually try to fill in the table