Research Associate
Center for Urban Transportation Research (CUTR), University of South Florida
Tampa, Florida, United States
Yaye Keita, Ph.D., is a research associate at the Center for Urban Transportation Research (CUTR) at the University of South Florida. She has over 10 years of experience in transportation engineering, planning, and policy. Dr. Keita obtained her Ph.D. from the University of Illinois at Chicago (UIC) and her master’s degree from Brigham Young University (BYU). She has participated in various transportation engineering, planning, and policy efforts, including studies related to traffic signal systems, safety, and equity. Some of her past projects include 1) Developing Crash Modification Factors for Speed Management and Pedestrian Safety, 2) Mitigation for Trespasser and Suicide Fatalities and Injuries, 3) Monitoring Trespassing using Artificial Intelligence and Video-Based Systems, 4) Evaluating the Impact of COVID-19 on Travel Behavior and Shared Mobility Systems, and 5) Analyzing Geographic and Demographic Variation in Mode Choice and Travel Behavior (by considering the role of traditional players and emerging transportation modes). She has also helped to create methods and guides to address the needs of vulnerable transportation users, analyze multimodal transportation issues, and evaluate future risks associated with the transportation systems. Dr. Keita has also provided research support to identify sub-areas in Northern Illinois region with various access to public transportation issues. She is a co-author and author of several published reports and papers.
Disclosure information not submitted.
Arterial TSMO Strategies based on Florida Transportation Agency Survey
Sunday, June 16, 2024
1:15 PM - 2:30 PM ET
Effects of Law Enforcement Presence, Frequency, and Duration on Speeding
Sunday, June 16, 2024
1:15 PM - 2:30 PM ET
Evaluation of Sinusoidal Rumble Strips on Noise Mitigation and Roadway Departure Crash Reduction
Sunday, June 16, 2024
1:15 PM - 2:30 PM ET
Safety Benefits of Parcel Delivery Modes Using Geographically Weighted Negative Binominal Regression
Sunday, June 16, 2024
1:15 PM - 2:30 PM ET