Dr Pengyuan Liu

  • Lecturer in Digital Planning (Urban Studies & Social Policy)

Biography

My name is Pengyuan Liu, and currently, I am working as a Lecturer (Assistant Prof) in Digital Planning at the University of Glasgow. My expertise lies in the field of quantitative urban geography, where I specialised in GeoAI and urban digital twin research. I hold a PhD in Geography from the University of Leicester, UK. Before joining the University of Glasgow, I was a Senior Postdoctoral Researcher and Coordinator at Future Cities Laboratory, Singapore-ETH Centre. In 2023, I contributed as a Lecturer in Human Geography and Urban Planning at Nanjing University of Information Science and Technology. My journey also includes valuable postdoctoral research experiences at the NUS Urban Analytics Lab and the University of Helsinki.

I am passionate about integrating Geospatial Analytics, Artificial Intelligence, and Digital Twins into urban studies. My work focuses on developing theories, algorithms, and models that advance this integration. Additionally, I am an advocate for the open data initiative in academia, demonstrated by my role in organising international academic conferences for OpenStreetMap, including the 2022 State of the Map (Academic Track) and 2023 OSMScience. My aim is to foster innovation in urban studies through cutting-edge research and collaboration, contributing to the development of smarter, more sustainable urban environments.

I am always keen to explore collaborative opportunities and welcome inquiries from prospective Ph.D. students who are passionate about pushing the boundaries of Urban Science and GeoAI. Please feel free to contact me via Pengyuan.Liu@glasgow.ac.uk for any collaboration, discussion of ideas, or Ph.D. student opportunities. I’m always happy to start a conversation over a coffee break!

Please check my Google Scholar and ResearchGate for my previous publications, and follow my LinkedIn and personal website for my recent activities.

Research interests

  • Geospatial Data Science and Spatially-Explicit GeoAI
  • Explainable AI in Urban Science
  • Urban Analytics and Digital Twin
  • Urban Sensing and Digital Geographies
  • Urban Sustainability and Micro-climate Studies
  • Urban Justice and Human-Environment Interaction

Research groups

Publications

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Jump to: 2025
Number of items: 1.

2025

Liu, Pengyuan ORCID logoORCID: https://orcid.org/0000-0002-5443-5910, Wang, Yuan, De Sabbata, Stef, Lei, Binyu, Biljecki, Filip, Tang, Jing and Stouffs, Rudi (2025) Living upon networks: a heterogeneous graph neural embedding integrating waterway and street systems for urban form understanding. Environment and Planning B: Urban Analytics and City Science, (doi: 10.1177/23998083251358527) (Early Online Publication)

This list was generated on Thu Jul 31 15:27:56 2025 BST.
Jump to: Articles
Number of items: 1.

Articles

Liu, Pengyuan ORCID logoORCID: https://orcid.org/0000-0002-5443-5910, Wang, Yuan, De Sabbata, Stef, Lei, Binyu, Biljecki, Filip, Tang, Jing and Stouffs, Rudi (2025) Living upon networks: a heterogeneous graph neural embedding integrating waterway and street systems for urban form understanding. Environment and Planning B: Urban Analytics and City Science, (doi: 10.1177/23998083251358527) (Early Online Publication)

This list was generated on Thu Jul 31 15:27:56 2025 BST.

Prior publications

Article

Siyu Li, Pengyuan Liu, Rudi Stouffs (2025) Fine-grained local climate zone classification using graph networks: A building-centric approach Building and Environment Crossref. (doi: 10.1016/j.buildenv.2025.112928)

Yuan Wang, Pengyuan Liu, Rudi Stouffs (2025) Revealing the impact of 2D/3D urban morphology on spatial heterogeneity of diurnal and nocturnal UHI through X-GeoAI driven analytics Crossref. (doi: 10.5194/icuc12-888)

Sijie Yang, Adrian Chong, Pengyuan Liu, Filip Biljecki (2025) Thermal comfort in sight: Thermal affordance and its visual assessment for sustainable streetscape design Building and Environment Crossref. (doi: 10.1016/j.buildenv.2025.112569)

Binyu Lei, Pengyuan Liu, Xiucheng Liang, Yingwei Yan, Filip Biljecki (2025) Developing the urban comfort index: Advancing liveability analytics with a multidimensional approach and explainable artificial intelligence Sustainable Cities and Society Crossref. (doi: 10.1016/j.scs.2024.106121)

Junjie Luo, Pengyuan Liu, Wenhui Xu, Tianhong Zhao, Filip Biljecki (2025) A perception-powered urban digital twin to support human-centered urban planning and sustainable city development Cities Pengyuan Liu. ISSN 0264-2751 (doi: 10.1016/j.cities.2024.105473)

Pengyuan Liu, Binyu Lei, Weiming Huang, Filip Biljecki, Yuan Wang, Siyu Li, Rudi Stouffs (2025) Sensing climate justice: A multi-hyper graph approach for classifying urban heat and flood vulnerability through street view imagery Sustainable Cities and Society Crossref. (doi: 10.1016/j.scs.2024.106016)

Haoran Ma, Yan Zhang, Pengyuan Liu, Fan Zhang, Pengyu Zhu (2024) How does spatial structure affect psychological restoration? A method based on graph neural networks and street view imagery Landscape and Urban Planning Pengyuan Liu. ISSN 0169-2046 (doi: 10.1016/j.landurbplan.2024.105171)

Binyu Lei, Pengyuan Liu, Nikola Milojevic-Dupont, Filip Biljecki (2024) Predicting building characteristics at urban scale using graph neural networks and street-level context Computers, Environment and Urban Systems Pengyuan Liu. ISSN 0198-9715 (doi: 10.1016/j.compenvurbsys.2024.102129)

Pengyuan Liu, Yan Zhang, Filip Biljecki (2024) Explainable spatially explicit geospatial artificial intelligence in urban analytics Environment and Planning B: Urban Analytics and City Science Crossref. (doi: 10.1177/23998083231204689)

Siqin Wang et al. (2024) Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review International Journal of Applied Earth Observation and Geoinformation Pengyuan Liu. ISSN 1569-8432 (doi: 10.1016/j.jag.2024.103734)

Stefano De Sabbata, Pengyuan Liu (2023) A graph neural network framework for spatial geodemographic classification International Journal of Geographical Information Science Pengyuan Liu. ISSN 1362-3087 (doi: 10.1080/13658816.2023.2254382)

Yuhan Chen, Pengyuan Liu, Jiechen Zhao, Kaijian Huang, Qingyun Yan (2023) Shallow-Guided Transformer for Semantic Segmentation of Hyperspectral Remote Sensing Imagery Remote Sensing Crossref. (doi: 10.3390/rs15133366)

Pengyuan Liu, Tianhong Zhao, Junjie Luo, Binyu Lei, Mario Frei, Clayton Miller, Filip Biljecki (2023) Towards Human-centric Digital Twins: Leveraging Computer Vision and Graph Models to Predict Outdoor Comfort Sustainable Cities and Society Crossref. (doi: 10.1016/j.scs.2023.104480)

Yan Zhang, Pengyuan Liu, Filip Biljecki (2023) Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image ISPRS Journal of Photogrammetry and Remote Sensing Crossref. (doi: 10.1016/j.isprsjprs.2023.03.008)

Junjie Luo, Pengyuan Liu, Lei Cao (2022) Coupling a Physical Replica with a Digital Twin: A Comparison of Participatory Decision-Making Methods in an Urban Park Environment ISPRS International Journal of Geo-Information Crossref. (doi: 10.3390/ijgi11080452)

Pengyuan Liu, Filip Biljecki (2022) A review of spatially-explicit GeoAI applications in Urban Geography International Journal of Applied Earth Observation and Geoinformation Crossref. (doi: 10.1016/j.jag.2022.102936)

(2022) Extracting locations from sport and exercise-related social media messages using a neural network-based bilingual toponym recognition model Journal of Spatial Information Science Pengyuan Liu. (doi: 10.5311/JOSIS.2022.24.167)

(2021) A graph-based semi-supervised approach to classification learning in digital geographies Computers, Environment and Urban Systems Pengyuan Liu. (doi: 10.1016/j.compenvurbsys.2020.101583)

Can Chen, Chao Zhou, Pengyuan Liu, Dengyin Zhang (2020) Iterative Reweighted Tikhonov-Regularized Multihypothesis Prediction Scheme for Distributed Compressive Video Sensing IEEE Transactions on Circuits and Systems for Video Technology Crossref. (doi: 10.1109/TCSVT.2018.2886310)

Book

Pengyuan Liu (2022) Proceedings of the Academic Track at State of the Map 2022 Pengyuan Liu. (doi: 10.5281/ZENODO.7004791)

Supervision

  • Jiazhi Zhu: Leveraging GeoAI for Flash Flood Susceptibility Prediction