Geoff Boeing

Geoff Boeing is an Associate Professor in USC’s Department of Urban Planning and Spatial Analysis, the Director of USC’s Urban Data Lab, and a Nonresident Senior Fellow at the Brookings Institution. He received his PhD in City and Regional Planning from the University of California, Berkeley.

His research and teaching focus on geospatial data science, urban networks, and information landscapes. His work has been shortlisted by the Information Is Beautiful Awards and the NetSci Visualization Awards, and covered by numerous media outlets including The Economist, The Guardian, The Atlantic, and The Washington Post. He developed and maintains the OSMnx street network modeling software and has served as a consultant for several planning, policymaking, and public health organizations.

Ph.D., City and Regional Planning, University of California, Berkeley
M.S., Information Management, Arizona State University
B.S., Computer Information Systems, Arizona State University

Boeing, G. 2021. “Street Network Models and Indicators for Every Urban Area in the World.” Geographical Analysis, published online before print.

Boeing, G. 2021. “Off the Grid… and Back Again? The Recent Evolution of American Street Network Planning and Design.” Journal of the American Planning Association, 87 (1), 123-137.

Boeing, G., M. Besbris, A. Schachter, and J. Kuk. 2021. “Housing Search in the Age of Big Data: Smarter Cities or the Same Old Blind Spots?” Housing Policy Debate, 31 (1), 112-126.

Boeing, G. 2021. “Spatial Information and the Legibility of Urban Form: Big Data in Urban Morphology.” International Journal of Information Management, 56, 102013.

Liu, S., C. Higgs, J. Arundel, G. Boeing, N. Cerdera, D. Moctezuma, E. Cerin, D. Adlakha, M. Lowe, and B. Giles-Corti. 2021. “A Generalized Framework for Measuring Pedestrian Accessibility around the World Using Open Data.” Geographical Analysis, published online before print.

Boeing, G., J. Wegmann, and J. Jiao. 2020. “Rental Housing Spot Markets: How Online Information Exchanges Can Supplement Transacted-Rents Data.” Journal of Planning Education and Research, published online before print.

Boeing, G. 2020. “Online Rental Housing Market Representation and the Digital Reproduction of Urban Inequality.” Environment and Planning A, 52 (2), 449-468.

Boeing, G. 2020. “A Multi-Scale Analysis of 27,000 Urban Street Networks: Every US City, Town, Urbanized Area, and Zillow Neighborhood.” Environment and Planning B, 47 (4), 590-608.

Boeing, G. 2020. “The Right Tools for the Job: The Case for Spatial Science Tool-Building.” Transactions in GIS, 24 (5), 1299-1314.

Boeing, G. 2020. “Planarity and Street Network Representation in Urban Form Analysis.” Environment and Planning B, 47 (5), 855-869.

Boeing, G. 2020. “Urban Street Network Analysis in a Computational Notebook.” Region, 6 (3), 39-51.

Kang, W., T. Oshan, L.J. Wolf, G. Boeing, V. Frias-Martinez, S. Gao, A. Poorthuis, and W. Xu. 2019. “A Roundtable Discussion: Defining Urban Data Science.” Environment and Planning B, 46 (9), 1756-1768.

Boeing, G. 2019. “Urban Spatial Order: Street Network Orientation, Configuration, and Entropy.” Applied Network Science, 4 (1), 67.

Padgham, M., G. Boeing, D. Cooley, N. Tierney, M. Sumner, T. Phan, and R. Beare. 2019. “An Introduction to Software Tools, Data, and Services for Geospatial Analysis of Stroke Services.” Frontiers in Neurology, 10, 743.

Boeing, G. 2019. “Street Network Models and Measures for Every U.S. City, County, Urbanized Area, Census Tract, and Zillow-Defined Neighborhood.” Urban Science, 3 (1), 28.

Boeing, G. 2018. “Measuring the Complexity of Urban Form and Design.” Urban Design International, 23 (4), 281-292.