Yidong Yang is a Master’s student in the College of Communication and Art Design at the University of Shanghai for Science and Technology, specializing in the urban geography, She is also a researcher in (Nature Al Lab). Her research focuses on Urban Green Space Equity, Urban Safety, and Environmental Perception Analysis. By combining GIS-based spatial modeling, environmental data interpretation, and machine learning techniques, she explores how the distribution, visibility, and accessibility of urban greenery influence crime patterns, perceived safety, and social equity within urban spaces.

Her recent work applies these approaches to evaluate how urban park characteristics interact with socio-economic contexts to influence urban crime dynamics. In parallel, she employs street view imagery and interpretable machine learning models to analyze environmental perception and thermal comfort, uncovering how street-level greenery contributes to mitigating urban heat islands and improving public well-being. Ultimately, her research aims to advance data-driven urban green space studies to inform evidence based planning and promote spatial equity in urban environments.