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Feiyang Sun

Urban Studies and Planning Assistant Teaching Professor

Dr. Sun received his Ph.D. from the Interdisciplinary Ph.D. Program in Urban Design and Planning at the University of Washington in 2021. At the University of Washington, he has taught real estate data modeling and visualization classes in the Runstad Department of Real Estate and infrastructure finance and capstone classes in the Online Master of Infrastructure Planning and Management Program. His research applies economic theories and empirical research methods to address emerging trends and challenges in urban infrastructure and real estate markets. Techniques used in his research include but are not limited to supervised machine learning, spatial regression models, regression trees, and generalized linear models. Such models are applied to large datasets that incorporate observational data on transportation behaviors, design features of the built environment, and real estate prices. Examples of his ongoing research include governance of urban spatial data and surveillance technologies, renewable energy building technologies and incentive policies, economic resilience of small businesses under disruptive events, and economics of mixed-use development. He will offer courses at UCSD on real estate development principles, development process, and real estate data modeling.