Gregory Erhardt

Gregory Erhardt is an Associate Professor at the University of Kentucky's Stanley and Karen Pigman College of Engineering. His research focuses on advancing transportation forecasting through evidence-based policy decisions, integrating big data and activity-based models to address challenges in transit investment and emerging mobility technologies.

• Research Interests: Activity-Based Travel Models, Big Data Applications, Forecast Accuracy Assessment
• Email: greg.erhardt@uky.edu

Erhardt's work spans the intersection of transportation infrastructure, data science, and policy analysis. He specializes in developing modeling tools to predict the effects of transit projects, evaluating ride-hailing impacts, and improving forecasting methodologies.

Recent publications highlight trends in transportation network companies (TNCs), activity-based modeling frameworks, and transit ridership dynamics. His research explores ride-hailing driver participation, multi-modal optimization, and the relationship between microtransit and congestion patterns.

Key themes include the integration of longitudinal datasets, bias mitigation in TNC data analysis, and evaluating the accuracy of traffic forecasting systems. His work provides actionable insights for policymakers in a rapidly evolving transportation landscape.