Zicheng Fan

Zicheng Fan

PhD Researcher

National University of Singapore

Zicheng Fan is a PhD candidate in the Urban Analytics Lab. He holds masters’ degree in space syntax theory and spatial data science. His research interest lies in the intersection of urban morphology, spatial perception, and machine learning. Zicheng has experience in investigating Covid-19’s impact on noise complaints in London, with time-series clustering and multiple machine learning methods. He has also contributed to investigating and simulating pedestrians’ visual interest in 3D built environments via isovist, street view images and gaze analysis. In UAL, Zicheng hopes to explore the wide application of 3D GIS and digital twins in revealing various people-space interactions in 3D built environment and urban dynamic scenarios.

Interests
  • 3D GIS
  • Geographic data science
Education
  • Master of Research, Spatial Data Science and Visualisation (Distinction), 2022

    University College London

  • Master of Science, Space Syntax - Architecture and Cities (Distinction), 2021

    University College London

  • BSc Urban and Rural Planning, 2020

    Soochow University

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