Hanyong Xu

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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]
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.

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