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Applications: Transportation Research, Urban Planning Methodologies: Data Management, Data Visualization, Geographic Information Systems, Network Analysis, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical 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