Zicheng Fan

Zicheng Fan

Urban Researcher

Posts by Collection

portfolio

publications

EXPLORING THE LINKAGE BETWEEN SPACE SYNTAX AND VISUAL IMPRESSION OF ARCHITECTURAL SPACES: A case study of the Japanese streetscapes during moments of ‘Oku’

EXPLORING THE LINKAGE BETWEEN SPACE SYNTAX AND VISUAL IMPRESSION OF ARCHITECTURAL SPACES: A case study of the Japanese streetscapes during moments of ‘Oku’

Published in 14th International Space Syntax Symposium, 2024

Extend Visibility Graph Analysis (VGA) to 3D.

Recommended citation: Law, S., Kahlon, Y., Fan, Z., Gath-Morad, M., Hu, D., Shen, Y., Oki, T., Nguyen-Tran, Y.K., Murata, R., Marsatyasti, N., Fujii, H., 2024. EXPLORING THE LINKAGE BETWEEN SPACE SYNTAX AND VISUAL IMPRESSION OF ARCHITECTURAL SPACES: A case study of the Japanese streetscapes during moments of 'Oku', in: 14th International Space Syntax Symposium, SSS 2024. Presented at the 14th International Space Syntax Symposium, SSS 2024, Space Syntax Network / Sejong University Press.
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ZenSVI: An open-source software for the integrated acquisition, processing and analysis of street view imagery towards scalable urban science

ZenSVI: An open-source software for the integrated acquisition, processing and analysis of street view imagery towards scalable urban science

Published in Computers, Environment and Urban Systems, 2025

An open-source Python package that integrates the entire process of SVI analysis.

Recommended citation: Ito, K., Zhu, Y., Abdelrahman, M., Liang, X., Fan, Z., Hou, Y., Zhao, T., Ma, R., Fujiwara, K., Ouyang, J., Quintana, M., Biljecki, F., 2025. ZenSVI: An open-source software for the integrated acquisition, processing and analysis of street view imagery towards scalable urban science. Computers, Environment and Urban Systems 119, 102283. https://doi.org/10.1016/j.compenvurbsys.2024.102283
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Image-based Visibility Analysis Replacing Line-of-Sight Simulation: An Urban Landmark Perspective

Image-based Visibility Analysis Replacing Line-of-Sight Simulation: An Urban Landmark Perspective

Published in Under Review, 2025

Can images be quantitatively applied to replace traditional LoS-based analysis, to investigate the visibility of urban objects at a large scale?

Recommended citation: Fan, Z., Fujiwara, K., Liu, P., Zhang, F., Biljecki, F., 2025. Image-based Visibility Analysis Replacing Line-of-Sight Simulation: An Urban Landmark Perspective. arXiv preprint arXiv:2505.11809. https://doi.org/10.48550/arXiv.2505.11809
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Three Dimensional Street Scene Representation Learning for Street Frontage Classification

Three Dimensional Street Scene Representation Learning for Street Frontage Classification

Published in The 19th International Conference on Computational Urban Planning and Urban Management (CUPUM), 2025

Can we use 3D street morphology to infer street attributes

Recommended citation: Fan, Z., Law, S., Biljecki, F. (2025). Three Dimensional Street Scene Representation Learning for Street Frontage Classification. In The 19th International Conference on Computational Urban Planning and Urban Management (CUPUM), London, UK.
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VoxCity: A seamless framework for open geospatial data integration, grid-based semantic 3D city model generation, and urban environment simulation

VoxCity: A seamless framework for open geospatial data integration, grid-based semantic 3D city model generation, and urban environment simulation

Published in Computers, Environment and Urban Systems, 2025

A Python package for 3D city model generation and environment simulations worldwide.

Recommended citation: Fujiwara, K., Tsurumi, R., Kiyono, T., Fan, Z., Liang, X., Lei, B., Yap, W., Ito, K., Biljecki, F., 2026. VoxCity: A seamless framework for open geospatial data integration, grid-based semantic 3D city model generation, and urban environment simulation. Computers, Environment and Urban Systems 123, 102366. https://doi.org/10.1016/j.compenvurbsys.2025.102366
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talks

teaching

Teaching Assistant - DEP5111 Planning Technologies

Postgraduate course, Department of Architecture, National University of Singapore, 0202

This graduate course is intended to MUP and Architecture students and others at the College of Design and Engineering who aspire to learn about data science in general and in the urban context, and attain basic programming skills in R. Much of it is focused on urban data and applications in the urban context. This course is composed of lectures and computer labs, providing hands-on the state of the art tools, datasets, and methods to manipulate, analyse, and visualise data. The course focuses on urban problems, but it is taught in a sufficiently generic manner so the knowledge can be transferrable to other domains.

Teaching Assistant - CDE2212 AI for Design

Undergraduate course, Department of Architecture, National University of Singapore, 2024

This module introduces you to applications of Artificial Intelligence (AI), especially with respect to the design of our environment. Application spaces may include buildings, public spaces, landscapes, dwellings, transportation nodes, and recreational areas. AI can support the designer in the design decision making process, through both analysis and synthesis. In this module you will be presented with an overview of different kinds of AI applications for design, with a partial focus on the application of an AI-based methodology for design exploration with respect to selected performance indicators, and another on the application of image-based AI techniques supporting design space interpretation.

Teaching Assistant - CDE2215 Introduction to GIS

UNdergraduate course, Department of Architecture, National University of Singapore, 2025

This course focuses on the important concepts and the practical use of Geographic Information System (GIS) in problem solving in both the social and physical sciences. Topics to be covered include vector and raster data formats and their analytical functions. This course is designed as learning through practicing, so practical laboratory excises utilising GIS software such as ArcGIS will be major classroom activities. This course is mounted for students throughout NUS with interests in GIS applications in sciences, social sciences, engineering and business analysis.