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Applications: Human Movement, Sentiment Analysis, Transportation, Urban Dynamics, Wayfinding Methodologies: Agent-based Modeling, Econometrics, Forecasting, Geographical Information Science, Spatiotemporal Modeling Connections: Association of American Geographers, Association of Pedestrian and Bicycle Professionals

Greg Rybarczyk

Associate Professor, Earth and Resource Science

Using GIS, visual analytics, and spatiotemporal modeling, Dr. Rybarczyk examines the utility of Big Data for gaining insight into the causal mechanisms that influence travel patterns and urban dynamics. In particular, his research sets out to provide a fuller understanding of “what” and “where” micro-scale conditions affect human sentiment and hence wayfinding ability, movement patterns, and travel mode-choices.

Recent works: Rybarczyk, G. and S. Banerjee. (2015) Visualizing active travel sentiment in an urban context, Journal of Transport and Health, 2(2): 30