Bibhas Dey, PhD

Bibhas has widespread research and project experiences in transportation planning, modeling, engineering, and data analytics. His expertise covers shared mobility demand modeling and forecasting, transportation policy analysis, route choice modeling, travel behavior modeling, transportation infrastructure performance analysis, big data analysis and processing, econometric modeling, statistical analysis, and GIS mapping.  

As part of his PhD research, Bibhas assessed shared economy systems’ (e.g., Airbnb, bikeshare, ride hailing services) demand and destination choice behavior, employing different econometric and machine learning methods and finding significant factors influencing the choice decisions. He was also involved in several projects sponsored by the Florida Department of Transportation. Through these experiences, he is familiar with technical programs such as VISUM, GAUSS, ArcGIS, AutoCAD, SPSS, SAS, RStudio, Python, and C++.