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publications
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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Nighttime Street View Imagery: A new perspective for sensing urban lighting landscape
Published in Sustainable Cities and Society, 2024
To what extent Street View Imagery taken during nighttime can be applied in urban research?
Recommended citation: Fan, Z., Biljecki, F., 2024. Nighttime Street View Imagery: A new perspective for sensing urban lighting landscape. Sustainable Cities and Society 116, 105862. https://doi.org/10.1016/j.scs.2024.105862
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Coverage and bias of street view imagery in mapping the urban environment
Published in Computers, Environment and Urban Systems, 2025
Frequency and completeness of SVI coverage on building facades.
Recommended citation: Fan, Z., Feng, C.-C., Biljecki, F., 2025. Coverage and bias of street view imagery in mapping the urban environment. Computers, Environment and Urban Systems 117, 102253. https://doi.org/10.1016/j.compenvurbsys.2025.102253
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talks
Urban Data, Science and Technology Workshop
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NUS-Tsinghua Joint PhD Symposium
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PhD Oral Qualifying Examination
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teaching
Teaching Assistant - AR5959D Topics in Design Technology 4
Postgraduate course, Department of Architecture, National University of Singapore, 2024
R language, spatial analysis and statistics
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.