Dr. Encarnación’s research focuses on developing econometric, analytical, and statistical methods to support decision-making in complex supply chain environments, with emphasis on last-mile distribution, disaster response, and sustainability. She also explores human behavior through experimental research and leverages emerging data sources to improve operational effectiveness. Prior to her academic career, she worked in industry for close to a decade, as a consultant and holding management positions in Business Analytics.
Education
Ph.D. Transportation Engineering, Rensselaer Polytechnic Institute, 2019
M.E. Industrial and Management Engineering, Rensselaer Polytechnic Institute, 2017
M.S. Scientific Computing, University of Puerto Rico at Mayaguez, 2006
B.S. Systems Engineering and Computer Science Cum Laude, Pontificia Universidad Católica Madre y Maestra, Dominican Republic, 2002
Selected Recent Publications
Encarnación, T. (2025). Econometric estimation of deprivation cost functions for emergency medical services. Socio-Economic Planning Sciences, 101, 102273.
Encarnación, T., & Amaya, J. (2025). Determinants of parcel locker adoption for last‐mile deliveries in urban and suburban areas. Transportation Journal, 64(1), 55–72.
Amaya, J., Encarnación, T., & Cantillo, V. (2025). Sustainable last mile delivery alternatives: Influencing factors and willingness to use. Transportation Research Part D: Transport and Environment, 139, 104574
Holguín-Veras, J., Ramirez-Rios, D., & Encarnación, T. (2025). The responsibilities of freight carriers and other agents in the generation of freight externalities: Implications for addressing climate change. Transportation Research Part A: Policy and Practice, 199, 104573.
Amaya, J., Encarnación, T., & Delgado-Lindeman, M. (2024). Understanding delivery drivers’ parking preferences in urban freight operations. Transportation Research Part A: Policy and Practice, 176, 103823.
Courses
SCMA 3300 – Business Analytics and Statistics
SCMA 5320 – Supply Chain and Operations Management
SCMA 6395 – Data Visualization for Business Applications
SCMA 7382 – Empirical Research Methods (Doctoral)
