Research
Our research focuses on quantitative analysis of urban morphology, spatial structure, and urban evolution. We utilize advanced data analysis, simulation, and modeling techniques to explore how cities grow and transform, aiming to provide support for sustainable urban development and planning.
Main research directions include:
- Urban Morphology & Urban Activities
- Human-Perceived Urban Space
- AI for Urban Evaluation & Redevelopment
All
2025
Formalising the urban pattern language: A morphological paradigm towards understanding the multi-scalar spatial structure of cities
Cities
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01 Jun 2025
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doi:10.1016/j.cities.2025.105854
2024
‘Local Hubs and Global Gateways’: Understanding the impact of Singapore’s master plan on urban polycentricity
Environment and Planning B: Urban Analytics and City Science
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09 Aug 2024
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doi:10.1177/23998083241267070
Machine learning-based characterisation of urban morphology with the street pattern
Computers, Environment and Urban Systems
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01 Apr 2024
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doi:10.1016/j.compenvurbsys.2024.102078
Mapping Street Patterns with Network Science and Supervised Machine Learning
ISPRS International Journal of Geo-Information
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28 Mar 2024
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doi:10.3390/ijgi13040114
Humans As Sensors in Urban Digital Twins
Lecture Notes in Geoinformation and Cartography
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01 Jan 2024
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10.1007/978-3-031-43699-4_42
Humans As Sensors in Urban Digital Twins
2022
Identifying Urban Functional Regions from High-Resolution Satellite Images Using a Context-Aware Segmentation Network
Remote Sensing
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17 Aug 2022
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doi:10.3390/rs14163996
2021
Simulating the urban spatial structure with spatial interaction: A case study of urban polycentricity under different scenarios
Computers, Environment and Urban Systems
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01 Sep 2021
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doi:10.1016/j.compenvurbsys.2021.101677