Geoff Boeing

Biography

Dr. Boeing received his Ph.D. in City and Regional Planning from the University of California, Berkeley. Prior to joining the Price School, he was an Assistant Professor of Urban Informatics and Planning at Northeastern University’s School of Public Policy and Urban Affairs.

His research revolves around city planning, urban form, data science, and urban informatics. Recent projects have focused on 1) the nature and character of urban street networks around the world, and 2) how spatial technologies and their data shape housing markets and our understanding of affordability. He is published in journals such as Environment and Planning A: Economy and Space; Environment and Planning B: Urban Analytics and City Science; Computers, Environment and Urban Systems; the Journal of Planning Education and Research; Applied Network Science; and Urban Design International.

He has recently presented this research in plenary addresses at the 2019 AAG annual meeting, 2018 Architect of the Future conference and an invited presentation at the 2018 Venice Biennale. His research was shortlisted by the 2018 Information Is Beautiful Awards and the 2019 NetSci Visualization Awards and has been covered by Forbes, Slate, The Washington Post, The San Francisco Chronicle, The Boston Globe, and various other media outlets. He has served as a consultant for several planning, policymaking, and public health organizations.

Selected Publications

• Lore, M., Harten, J. G., & Boeing, G. (2024). A hybrid deep learning method for identifying topics in large-scale urban text data: Benefits and trade-offs. Computers, Environment and Urban Systems, 111, 102131.
• Harten, J. G., & Boeing, G. (2024). Access to the exclusive city: Home Sharing as an affordable housing strategy. Urban Studies. https://doi.org/10.1177/00420980241258297.
• Barthelemy, M., & Boeing, G. (2024). A review of the structure of Street Networks.  Findings. https://doi.org/10.32866/001c.122117.