Zicheng Fan

Zicheng Fan

Urban Researcher

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

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
Download Paper

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
Download Paper | Download Bibtex

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
Download Paper

Conference Papers

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.
Download Paper

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.
Download Paper