معرفی
Elizabeth Delmelle is Associate Professor and Director of the Master of Urban Spatial Analytics (MUSA) program at the University of Pennsylvania's Weitzman School of Design, Department of City and Regional Planning. Her research integrates geospatial analytics, machine learning, and inferential statistics to study neighborhood change, urban inequality, and transportation impacts. She investigates longitudinal neighborhood trajectories, transit-induced gentrification, and housing dynamics using real estate and lending data.
Education: PhD in Geography and Urban Regional Analysis from the University of North Carolina at Charlotte; MA from SUNY Buffalo; BS from James Madison University.
Research interests focus on spatial dimensions of urban inequality, including poverty suburbanization, eviction patterns linked to transit, and algorithmic analysis of property listings. Her work connects big data with social equity outcomes.
Recent Publications emphasize machine learning applications in urban studies (2021-2025), exploring topics like transport geography gender gaps, light rail economic impacts, racial segregation dynamics, and NLP for housing discrimination.
