Hanyong Xu
Nice to meet you!
I am a Ph.D. candidate in Urban Science at the Department of Urban Studies and Planning (DUSP) at MIT, advised by Professor Jinhua Zhao. I am a member of the JTL Urban Mobility Lab (JTL) and affiliated with the Data + Feminism Lab. I seek to leverage the power of data science, algorithms, and visualization to lead to better urban planning, public policy making, and business growth. My current research focuses on:
- responsible data science and AI in urban science;
- platform economy and urban form.
Prior to joining DUSP, I accumulated three years of professional experience as both a data analyst and a GIS specialist at Meituan and CityDNA Technology, orchestrating data science and web-based solutions for decision-makers in urban planning and e-commerce. I hold a Master of Urban Spatial Analytics from the University of Pennsylvania Stuart Weitzman School of Design and an Honors Bachelor of Arts with a double major in Architectural Design and Economics from the University of Toronto.
news
| Jan 14, 2026 | Presented two papers, “Longitudinal Evaluations of the Coverage and Pricing Differences between Transportation Network Companies and Traditional Taxis: A Case Study of New York City” and “Modeling Latent Demand and Reducing Prediction Disparities of Ride-hailing: A Fair Quantile Regression Method”, at Transportation Research Board (TRB) Annual Meeting 2026 in Washington DC, US. [Online Program with Paper and Presentation] |
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| Apr 28, 2025 | Paper “Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study.” was presented at The International Workshop on Spatio-Temporal Data Mining from the Web WebST’25, held in conjunction with the ACM on Web Conference WWW2025 in Sydney, Australia, and received the Best Paper Award. |
| Jan 4, 2025 | Presented “Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study.” at the Transportation Research Board (TRB) Annual Meeting 2025 in Washington DC, US. |
| Oct 23, 2024 | Presented “Navigating Algorithmic Unfairness in Ride-Hailing: Examining Disparate Impacts of Transportation Network Company Algorithms in New York City” at the 2024 INFORMS Annual Meeting in Seattle, US. |
| Sep 4, 2024 | Presented “Large Language Model for Travel Behavior Prediction” at the Conference in Emerging Technologies in Transportation Systems (TRC-30) in Heraklion, Greece. |