• Skip to primary navigation
  • Skip to main content
  • Skip to footer
UMTRI – University of Michigan Transportation Research Institute
  • Contact
  • Give

Search

  • About
    • Mission, Vision and Values
    • History
    • Visit
    • Connect with UMTRI
    • News and Information
  • Research
    • Expertise
      • Connected and Automated Research
      • Crash and Driving Data Analysis
      • Driver Behavior
      • Human Computational Modeling
      • Legislation and Safety Programs
      • Injury Biomechanics and Ergonomics
      • Occupant Restraint Systems
      • Vulnerable Road Users and Occupants
      • Traffic Modeling
    • Groups
      • Engineering Systems
      • Biosciences
      • CMISST
      • Human Factors
      • Behavioral Sciences
    • Services
    • Projects
      • Pedestrian safety
      • Human shape modeling
      • Aging Drivers (LongROAD)
      • Michigan Traffic Crash Facts
      • Center for Connected and Automated Transportation
      • Evaluation of Motion Sickness
      • Connected vehicle testing
      • Safety technology opportunities (UTMOST)
      • Wheelchair tiedown system
    • Facilities and Labs
  • Education
    • Experiential Learning
      • Master Student Projects
      • Multidisciplinary Design Program (MDP)
    • Courses
      • Foundations of Mobility
      • Academic Courses
      • Short Courses
    • Patricia F. Waller Scholarship
  • People
  • Opportunities
    • Partners
    • Students
    • Employment
    • Participate in Research
    • Donations
    • Diversity, Equity, and Inclusion
    • Contact
    • Give
Tayo Fabusuyi

Tayo Fabusuyi

home_outline/People/Faculty/Core Faculty/Tayo Fabusuyi

Assistant Research Scientist, Human Factors

Contact

fabusuyi@umich.edu(734) 647-8442

Location

University of Michigan Transportation Research Institute, Room 308 2901 Baxter Rd. Ann Arbor, MI 48109

fax (734) 647-3330

Education/Training

  • PhD, Engineering & Public Policy, Carnegie Mellon University

Research Interests

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.

Service

Member, TRB of the National Academies, Emerging and Innovative Public Transportation and Technology Committee (AP020) 2019 – 2022

Additional Information

ORCID: 0000-0002-5828-1912


Footer

  • Contact
  • Give
  • UM Engineering Home
  • Strategic Vision
  • Graduate and Professional
  • Undergraduate
  • U-M Engineering Research News

© 2021 The Regents of the University of Michigan Ann Arbor, MI 48109 USA

Privacy Policy | Non-Discrimination Policy | Campus Safety