Designing data-driven tools for fairer urban futures.

I am Xuanyu Zhou, a Master of City Planning student at the University of Pennsylvania. Before Penn, I studied Urban and Rural Planning at Zhejiang University and spent an exchange semester at UC Berkeley CED. My work brings together urban equity, mobility, resilience, remote sensing, and machine learning, with a growing interest in how LLMs and Urban AI can support planning practice.

• fig.a built environment & equity — green space, thermal exposure & street-level conditions across communities, via remote sensing, LiDAR & imagery
• fig.b mobility systems — simulation-first frameworks for Urban Air Mobility & shared mobility in real metropolitan conditions
• fig.c resilience & health — geospatial ML connecting urban form with post-pandemic recovery, vitality & public health