AI Research Catalyst Fund Awardees Virtual Seminar Series

“Spatio-Temporal Modeling of Land-Use Changes Using Big Data”

by Dr. Emre Tepe
Assistant Professor in the Department of Urban and Regional Planning

Wednesday, November 17, 2021

ABSTRACT:

Understanding human activities forming present and past land use patterns is essential to predict future land developments. Extractions of complex relationships involved in land developments are challenging. In this research project, computationally feasible methodological approaches will be developed using Artificial Intelligence and Machine Learning methods in order to track past and present land use patterns in Florida. The developed modeling approaches can be used to simulate future impacts of anticipated changes in land developments. Also, these methods can be easily applied to a wide spectrum of research areas such as: hedonic pricing, traffic forecasting, urban energy consumption, ecological systems, disease spread, trade relations, and business network.

Bio: 

Emre Tepe is an assistant professor in the Department of Urban and Regional Planning at University of Florida. His primary expertise is in spatial econometrics and urban modeling. His current research interests focus on spatio-temporal modeling of urban development dynamics working with big data. He was awarded a Fulbright Doctoral Scholarship to study at the Ohio State University and also received Patricia Burgess Award for the Best Dissertation. Prior to beginning his position at University of Florida, he worked as an assistant professor at Gebze Technical University, Turkey. He teaches Quantitative Data Analysis for Planners, Urban Spatial Analysis, Urban Economy and Urban Planning Project courses in URP department.

Wednesday, November 17, 2021
12:00PM – 1:00PM
Via Zoom

RSVP below. Instructions to attend talk via Zoom will be emailed to you.