Emre Tepe

About Emre Tepe

Emre Tepe, Ph.D., is an assistant professor of urban and regional planning at the University of Florida. His research focuses on developing spatio-temporal urban models using statistical, machine learning, and artificial intelligence methods.

Areas of Expertise

Technology, Society and Analytical Methods, Economic Development, Housing, Land Use Planning and Governance

Selected Publications

Tepe, E., & Safikhani, A. (2023). Spatio-temporal modeling of parcel-level land-use changes using machine learning methods. Sustainable Cities and Society, 90, 104390. https://doi.org/10.1016/j.scs.2023.104390, Tepe, E. (2024). History, neighborhood, and proximity as factors of land-use change: A dynamic spatial regression model. Environment and Planning B: Urban Analytics and City Science, 51(1), 7–22. https://doi.org/10.1177/23998083231164397, Tepe, E., & Guldmann, J.-M. (2020). Spatio-temporal multinomial autologistic modeling of land-use change: A parcel-level approach. Environment and Planning B: Urban Analytics and City Science, 47(3). https://doi.org/10.1177/2399808318786511, Tepe, E. (2023). The impact of built and socio-economic environment factors on Covid-19 transmission at the ZIP-code level in Florida. Journal of Environmental Management, 326(Part B). https://doi.org/10.1016/j.jenvman.2022.116806

Recent Courses Taught

URP6231: Quantitative Data Analysis for Planners, URP6272: Urban Spatial Analysis, URP6042: Urban Economy, URP6341: Urban Planning Project