Prof. Fan ZHANG 張帆


PhD in GeoInformatics
Assistant Professor
Research Area
Research Interests
Urban Informatics
Geographic Information Science
Geospatial Artificial Intelligence
Urban Data Science
Computer Vision

PhD, The Chinese University of Hong Kong

Senior Fellow, Massachusetts Institute of Technology

Postdoc, Peking University


Dr Fan Zhang was formerly a Senior Research Fellow at MIT and the lead of the Urban Visual AI group at the MIT Senseable City Lab. His research lies at the intersection of GIScience, Geospatial Data Science, and Computer Vision. Dr Zhang is currently an associate editor of Transactions in Urban Data, Science, and Technology, a guest editor of ISPRS Journal of Photogrammetry and Remote Sensing, and a reviewer for over 40 SCI journals in GIS and Remote Sensing. He was included in the Stanford's list of world's top 2% scientists in 2022. He was recognized as Geospatial World 50 Rising Stars in 2022 and received the Global Young Scientist Award in Frontier Science and Technology at WGDC 2020.

Selected Publications

Sun, M., Zhang, F.*, Duarte, F., & Ratti, C. (2022). Understanding architecture age and style through deep learning. Cities, 128, 103787.

Zhang, F., Fan, Z., Kang, Y., Hu, Y., & Ratti, C. (2021). “Perception bias”: Deciphering a mismatch between urban crime and perception of safety. Landscape and Urban Planning, 207, 104003.

Kang, Y., Zhang, F.*, Peng, W., Gao, S., Rao, J., Duarte, F., & Ratti, C. (2021). Understanding house price appreciation using multi-source big geo-data and machine learning. Land Use Policy, 111, 104919.

Kang, Y., Zhang, F.*, Gao, S., Peng, W., & Ratti, C. (2021). Human settlement value assessment from a place perspective: Considering human dynamics and perceptions in house price modeling. Cities, 118, 103333.

Fan, Z., Zhang, F., & Loo, B. P. (2021). Rhythm of Transit Stations-Uncovering the Activity-Travel Dynamics of Transit-Oriented Development in the US. IEEE Transactions on Intelligent Transportation Systems.

Zhang, F., Zu, J., Hu, M., Zhu, D., Kang, Y., Gao, S., ... & Huang, Z. (2020). Uncovering inconspicuous places using social media check-ins and street view images. Computers, Environment and Urban Systems, 81, 101478.

Hu, C. B., Zhang, F.*, Gong, F. Y., Ratti, C., & Li, X. (2020). Classification and mapping of urban canyon geometry using Google Street View images and deep multitask learning. Building and Environment, 167, 106424.

Ma, P., Zhang, F.*, & Lin, H. (2020). Prediction of InSAR time-series deformation using deep convolutional neural networks. Remote sensing letters, 11(2), 137-145.

Kang, Y., Zhang, F.*, Gao, S., Lin, H., & Liu, Y. (2020). A review of urban physical environment sensing using street view imagery in public health studies. Annals of GIS, 26(3), 261-275.

Zhu, D., Zhang, F., Wang, S., Wang, Y., Cheng, X., Huang, Z., & Liu, Y. (2020). Understanding place characteristics in geographic contexts through graph convolutional neural networks. Annals of the American Association of Geographers, 110(2), 408-420.

Zhang, F., Zhou, B., Ratti, C., & Liu, Y. (2019). Discovering place-informative scenes and objects using social media photos. Royal Society open science, 6(3), 181375.

Zhang, F., Wu, L., Zhu, D., & Liu, Y. (2019). Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns. ISPRS journal of photogrammetry and remote sensing, 153, 48-58.

Ma, R., Wang, W., Zhang, F.*, Shim, K., & Ratti, C. (2019). Typeface reveals spatial economical patterns. Scientific Reports, 9(1), 1-9.

Zhang, F., Zhang, D., Liu, Y., & Lin, H. (2018). Representing place locales using scene elements. Computers, Environment and Urban Systems, 71, 153-164.

Zhang, F., Zhou, B., Liu, L., Liu, Y., Fung, H. H., Lin, H., & Ratti, C. (2018). Measuring human perceptions of a large-scale urban region using machine learning. Landscape and Urban Planning, 180, 148-160.

Zhang, F., Hu, M., Che, W., Lin, H., & Fang, C. (2018). Framework for virtual cognitive experiment in virtual geographic environments. ISPRS International Journal of Geo-Information, 7(1), 36.

Honors and Awards

Geospatial World 50 Rising Stars (2022)

Runner-up, MIT Water Hackathon (2022)

Global Young Scientist Award in Frontier Science and Technology (2020)

Second Class, Natural Science Award of Jiangxi Province (2019)

Seed Award, Shanghai Open Data Apps (2016)