معرفی
Guang Tian, Ph.D., is an Assistant Professor of City and Metropolitan Planning at the University of Utah and a faculty member at the Scientific Computing and Imaging Institute. His research bridges land use-transportation planning, travel behavior, and urban data science, with a focus on sustainability, climate adaptation, and equitable transit-oriented development. He previously founded the Center for Equitable Transit-Oriented Communities at the University of New Orleans as an Associate Professor.
- Education: Ph.D. in City & Metropolitan Planning (University of Utah, 2016)
- Professional Affiliations: Faculty, Scientific Computing and Imaging Institute (2025–present)
His research leverages machine learning and GIS to analyze VMT reduction, active transportation, and the built environment’s impact on mobility. Key findings include the superior performance of random forest models over traditional methods in predicting mode choice and the role of polycentric urban structures in reducing auto dependency.
Scientific Awards:
- Rising Scholar Award (2024, Association of Collegiate Schools of Planning)
Grants include funding from the US Department of Transportation for equitable transit communities and multiple Louisiana Transportation Research Center projects on VMT modeling, rail infrastructure, and truck parking efficiency. His teaching centers on GIS applications in urban planning and transportation analysis.
