Congcong Miao

Biography

Congcong Miao is an assistant professor specializing in spatial data science and GeoAI. Her research focuses on integrating geographic knowledge and spatial reasoning into artificial intelligence to better understand human mobility and interactions with urban environments. She develops computational methods that capture spatiotemporal dynamics, incorporate human perceptions, and improve model transparency through explainable AI. Her work primarily centers on transportation systems, with broader applications in urban planning, public health, and data-driven policy.

Publications

• Frazier, C., Miao, C., Shalin, S., Jensen, H., & Frazier, E. (2026). A Network-Based Cross-Sectional Study of Geographic Access Disparities to Medicare-Participating Dermatologists in the United States. JAAD International, 24, 70-72. 
• Miao, C., He, S., Li, Y., & Zhang, C. (2025). A Spatially-Adapted SHAP Approach for Interpreting Deep Bike Usage Learning and Prediction. Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, SIGSPATIAL ’25, 1114–1117. 
• Miao, C., Chen, X., & Zhang, C. (2025). Perceived built environment and non-motorist crashes: An exploration with street view imagery. Journal of Transport Geography, 128, 104363. 
• Lyu, W., Chen, X., Miao, C., Lin, Q., Xiang, X., Zhang, G., & Xu, R. (2025). Revisiting the modified Retail Food Environment Index (mRFEI): Examining food access inequities over a decade in the United States. Discover Public Health, 22(1), 318. 
• Miao, C., Chen, X., & Zhang, C. (2024). Assessing network-based traffic crash risk using prospective space-time scan statistic method. Journal of Transport Geography, 119, 103958. 

Education

• PhD, University of Connecticut
• MS, China University of Mining and Technology
• BS, China University of Mining and Technology

Research Profile

• Personal website