Assistant Research Scientist, Human Factors
University of Michigan Transportation Research Institute, Room 308 2901 Baxter Rd. Ann Arbor, MI 48109
fax (734) 647-3330
- PhD, Engineering & Public Policy, Carnegie Mellon University
Smart Cities and Policy Implications of Big Data Analytics; Intelligent Transportation Systems (ITS); Emerging Mobility Services; Urban Analytics; Data Science for Public Good; (soft) Operations Research; Cities of the Global South
Tayo Fabusuyi is an assistant research scientist in the Human Factors Group at UMTRI. His research interests are in Urban Systems and Operations Research, specifically designing and implementing initiatives that support sustainable and resilient communities with a focus on efficiency and equity issues. Drawing on both quantitative and qualitative data, Tayo’s research develops and applies hard and soft Operations Research methods to urban systems issues in a manner that emphasizes theory driven solutions with demonstrated value-added. A central theme of his research activities is the use of demand side interventions, via information and pricing strategies in influencing the public’s travel behavior with the objective of achieving more beneficial societal outcomes. Informed by the proliferation of big data and the influence of transportation in the urban sphere, these research activities are categorized broadly into three overlapping and interdependent areas – intelligent transportation systems (ITS), emerging mobility services and urban futures. Before joining the research faculty at UMTRI, Tayo was a Planning Economist at the African Development Bank and an adjunct Economics faculty member at Carnegie Mellon University, where he received his Ph.D. in Engineering and Public Policy.
Member, TRB of the National Academies, Emerging and Innovative Public Transportation and Technology Committee (AP020) 2019 – 2022