Louis A. Merlin, Ph.D., AICP

Merlin

Louis A. Merlin, Ph.D., AICP

Assistant Professor
School of Urban & Regional Planning

Florida Atlantic University
777 Glades Road, SO 284I
Boca Raton, FL 33431

Louis A. Merlin, Ph.D., AICP, is an Assistant Professor in the School of Urban and Regional Planning at Florida Atlantic University.  Dr. Merlin draws upon a strong background in Mathematics and Operations Research as well as experience as a professional urban planner in his teaching and research. Dr. Merlin is particularly interested in developing mathematical models that shed insight into pressing urban policy questions.

Dr. Merlin’s educational background includes a BA in Mathematics with Honors from Yale, and National Science Foundation funded graduate work towards Master’s Degrees in Operations Research and in City and Regional Planning from the Georgia Institute of Technology.  While at Georgia Tech, he was awarded both the Glatting Jackson Student Award and the American Institute of Certified Planners Outstanding Student Award.  After a haitus working in professional practice, , Merlin earned a doctoral degree in City and Regional Planning from the University of North Carolina, with his research work funded by the prestigious Royster Society of Fellows.

Professionally, Dr. Merlin’s first full-time job was working in data-mining for the marketing department of a credit card company.  Later, after earning his Master’s of City and Regional Planning, he worked as an urban planning consultant for EDAW | AECOM, based out of their Atlanta office. His professional engagements focused on comprehensive planning, redevelopment planning, and corridor planning for local and regional governments throughout the southeastern US.  During this time he specialized in data analysis and modeling for EDAW | AECOM, including economic and fiscal impact assessments as well as land use forecasting.

Dr. Merlin’s current research concerns how to better integrate transportation and land use through the development of accessibility-based performance measures and tools, as well as the implications of self-driving cars for the transportation sustainability.