{"id":18678,"date":"2026-04-08T16:34:40","date_gmt":"2026-04-08T08:34:40","guid":{"rendered":"https:\/\/cde.nus.edu.sg\/nuscities\/?page_id=18678"},"modified":"2026-08-13T16:33:06","modified_gmt":"2026-08-13T08:33:06","slug":"nus-cities-research-urban-digital-platforms","status":"publish","type":"page","link":"https:\/\/cde.nus.edu.sg\/nuscities\/nus-cities-research-urban-digital-platforms\/","title":{"rendered":"NUS Cities Research | Urban Digital Platforms"},"content":{"rendered":"\n<h2 id=\"undergraduate\">\n\t\t\tUrban Digital Platforms\t<\/h2>\n\t\t\t\t\t<ul id=\"menu-nus-cities-research-urban-digital-platforms\"><li id=\"menu-item-18684\"><a aria-expanded=\"false\" href=\"https:\/\/cde.nus.edu.sg\/nuscities\/nus-cities-research-urban-digital-platforms\/#projects\">Projects<\/a>\n<ul>\n\t<li id=\"menu-item-18692\"><a href=\"https:\/\/cde.nus.edu.sg\/nuscities\/nus-cities-research-urban-digital-platforms\/#csac\">Centre for Sustainable Asian Cities (CSAC)<\/a><\/li>\n\t<li id=\"menu-item-18688\"><a href=\"https:\/\/cde.nus.edu.sg\/nuscities\/nus-cities-research-urban-digital-platforms\/#ucdl\">Urban Climate Design Lab (UCDL)<\/a><\/li>\n<\/ul>\n<\/li>\n<li id=\"menu-item-18686\"><a aria-expanded=\"false\" href=\"https:\/\/cde.nus.edu.sg\/nuscities\/nus-cities-research-urban-digital-platforms\/#publications\">Publications<\/a>\n<ul>\n\t<li id=\"menu-item-18691\"><a href=\"https:\/\/cde.nus.edu.sg\/nuscities\/nus-cities-research-urban-digital-platforms\/#nus-cities-pubs\">NUS Cities<\/a><\/li>\n\t<li id=\"menu-item-18687\"><a href=\"https:\/\/cde.nus.edu.sg\/nuscities\/nus-cities-research-urban-digital-platforms\/#ual\">Urban Analytics Lab (UAL)<\/a><\/li>\n\t<li id=\"menu-item-18987\"><a href=\"https:\/\/cde.nus.edu.sg\/nuscities\/nus-cities-research-urban-digital-platforms\/#ucdl-pubs\">Urban Climate Design Lab (UCDL)<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\t\n\t<h2 id=\"projects\">\n\t\t\tProjects\t<\/h2>\n<h2 id=\"csac\">\n\t\t\tCentre for Sustainable Asian Cities (CSAC)\t<\/h2>\n\t<p><strong>Decoding Vernacular Architecture by Guiding Human Intuition with Deep Learning<\/strong><\/p>\n<p>Heng Chye Kiang, Li Jiali, Chang T C, Xue Xuan, Yang Yaotian, Tian Zihui<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/05\/Decoding-Vernacular-Architecture-by-Guiding-Human-Intuition-with-Deep-Learning-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/cde.nus.edu.sg\/csac\/research\/decoding-vernacular-architecture-by-guiding-human-intuition-with-deep-learning\/\">Read more\u2192<\/a><\/p>\n\t<p><strong>Urban Transport Modelling<\/strong><\/p>\n<p>Lee Der-Horn<\/p>\n<p><a href=\"https:\/\/cde.nus.edu.sg\/csac\/research\/urban-transport-modelling\/\">Read more \u2192<\/a><\/p>\n\t<p><a href=\"https:\/\/cde.nus.edu.sg\/nuscities\/nus-cities-research-towns-and-communities\/#header\">Back to Top \u2191<\/a><\/p>\n<h2 id=\"ucdl\">\n\t\t\tUrban Climate Design Lab (UCDL)\t<\/h2>\n\t<p><strong>GIS-Based Analytical Model (Urban Scale)<\/strong><\/p>\n<p>Urban Climate Design Lab<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/05\/GIS-Based-Analytical-Model-Urban-Scale-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/cde.nus.edu.sg\/csac\/research\/loveable-singapore-project\/\">Read more\u2192<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n\t<p><strong>Computational Parametric Study (Building Scale)<\/strong><\/p>\n<p>Urban Climate Design Lab<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/05\/Computational-Parametric-Study-Building-Scale-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/cde.nus.edu.sg\/arch-ucdl\/researches\/street-canyon-temperature-due-to-ac-building-scale\/\">Read more\u2192<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n\t<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/cde.nus.edu.sg\/nuscities\/nus-cities-research-urban-digital-platforms\/#header\">Back to Top \u2191<\/a><\/p>\n<h2 id=\"publications\">\n\t\t\tPublications\t<\/h2>\n<h2 id=\"nus-cities-pubs\">\n\t\t\tNUS Cities\t<\/h2>\n\t<p><strong>Distilling actionable insights from big travel demand datasets for city planning<\/strong><\/p>\n<p>Alvin Chua, Serene Ow, Kevin Hsu, Wang Yazhe, Michael Chirico, Huang Zhongwen<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/04\/Distilling-actionable-insights-from-big-travel-demand-datasets-for-city-planning-300x210.png\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0739885920300469\">Read more\u2192<\/a><\/p>\n<p>Chua, A., Ow, S., Hsu, K., Yazhe, W., Chirico, M., &amp; Zhongwen, H. (2020). Distilling actionable insights from big travel demand datasets for city planning. Research in Transportation Economics, Thredbo 16 Conference, 83, 100850. https:\/\/doi.org\/10.1016\/j.retrec.2020.100850<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n\t<p><a href=\"https:\/\/cde.nus.edu.sg\/nuscities\/nus-cities-research-towns-and-communities\/#header\">Back to Top \u2191<\/a><\/p>\n<h2 id=\"ual\">\n\t\t\tUrban Analytics Lab (UAL)\t<\/h2>\n\t<p><strong>A graph neural network for small-area estimation: integrating spatial regularisation, heterogeneous spatial units, and Bayesian inference<\/strong><\/p>\n<p>Pengyuan Liu, Yang Chen, Xiucheng Liang, Hao Li, Filip Biljecki, Rudi Stouffs<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/04\/A-graph-neural-network-for-small-area-estimation-integrating-spatial-regularisation-heterogeneous-spatial-units-and-Bayesian-inference-300x210.png\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2026-ijgis-gnn\/\">Read more\u2192<\/a><\/p>\n<p>Liu, P., Chen, Y., Liang, X., Li, H., Biljecki, F., &amp; Stouffs, R. (2025). A graph neural network for small-area estimation: Integrating spatial regularisation, heterogeneous spatial units, and Bayesian inference. International Journal of Geographical Information Science, 0(0), 1-39. https:\/\/doi.org\/10.1080\/13658816.2025.2597971<\/p>\n\t<p><strong>GeoAI: Beyond mapping earth and cities through explainability, adaptability, and sustainability<\/strong><\/p>\n<p>Yongze Song, Filip Biljecki, Gustau Camps-Valls, Peter M. Atkinson<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/04\/GeoAI-Beyond-mapping-earth-and-cities-through-explainability-adaptability-and-sustainability-300x210.png\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2026-iscience-geoai\/\">Read more\u2192<\/a><\/p>\n<p>Song, Y., Biljecki, F., Camps-Valls, G., &amp; Atkinson, P. M. (2026). GeoAI: Beyond mapping earth and cities through explainability, adaptability, and sustainability. iScience, 29(1). https:\/\/doi.org\/10.1016\/j.isci.2025.114407<\/p>\n\t<p><strong>The Cool, Quiet City machine learning competition: Overview and results<\/strong><\/p>\n<p>C Miller, M Ibrahim, I S Akbar, B Picchetti, Y X Chua, Mario Frei, Filip Biljecki, A Chong, Matias Quintana, C Fu<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/04\/The-Cool-Quiet-City-machine-learning-competition-Overview-and-results-300x210.png\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2025-cisbat-coolquiet\/\">Read more\u2192<\/a><\/p>\n<p>Miller, C., Ibrahim, M., Akbar, I. S., Picchetti, B., Chua, Y. X., Frei, M., Biljecki, F., Chong, A., Quintana, M., &amp; Fu, C. (2025). The Cool, Quiet City machine learning competition: Overview and results. Journal of Physics: Conference Series, 3140(11), 112017. https:\/\/doi.org\/10.1088\/1742-6596\/3140\/11\/112017<\/p>\n\t<p><strong>Enhancing urban digital twin interfaces to support thermal comfort planning<\/strong><\/p>\n<p>D Wang, J Lim, Marcel Ignatius, Kunihiko Fujiwara, B G Gottkehaskamp, Filip Biljecki, N H Wong, C Miller<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/04\/The-Cool-Quiet-City-machine-learning-competition-Overview-and-results-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2025-cisbat-dt-interfaces\/\">Read more\u2192<\/a><\/p>\n<p>Wang, D., Lim, J., Ignatius, M., Fujiwara, K., Gottkehaskamp, B. G., Biljecki, F., Wong, N. H., &amp; Miller, C. (2025). Enhancing urban digital twin interfaces to support thermal comfort planning. Journal of Physics: Conference Series, 3140(8), 082017. https:\/\/doi.org\/10.1088\/1742-6596\/3140\/20\/082017<\/p>\n\t<p><strong>VoxCity: A seamless framework for open geospatial data integration, grid-based semantic 3D city model generation, and urban environment simulation<\/strong><\/p>\n<p>Kunihiko Fujiwara, Ryuta Tsurumi, Tomoki Kiyono, Zicheng Fan, Xiucheng Liang, Binyu Lei, Winston Yap, Koichi Ito, Filip Biljecki<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/04\/VoxCity-A-seamless-framework-for-open-geospatial-data-integration-grid-based-semantic-3D-city-model-generation-and-urban-environment-simulation-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2026-ceus-voxcity\/\">Read more\u2192<\/a><\/p>\n<p>Fujiwara, K., Tsurumi, R., Kiyono, T., Fan, Z., Liang, X., Lei, B., Yap, W., Ito, K., &amp; 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<\/p>\n\t<p><strong>OpenFACADES: An open framework for architectural caption and attribute data enrichment via street view imagery<\/strong><\/p>\n<p>Xiucheng Liang, Jinheng Xie, Tianhong Zhao, Rudi Stouffs, Filip Biljecki<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/04\/OpenFACADES-An-open-framework-for-architectural-caption-and-attribute-data-enrichment-via-street-view-imagery-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2025-ijprs-openfacades\/\">Read more\u2192<\/a><\/p>\n<p>Liang, X., Xie, J., Zhao, T., Stouffs, R., &amp; Biljecki, F. (2025). OpenFACADES: An open framework for architectural caption and attribute data enrichment via street view imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 230, 918-942. https:\/\/doi.org\/10.1016\/j.isprsjprs.2025.10.014<\/p>\n\t<p><strong>Evaluating the development of open 3D city models: a multidimensional assessment<\/strong><\/p>\n<p>Binyu Lei, Filip Biljecki<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/04\/Evaluating-the-development-of-open-3D-city-models-a-multidimensional-assessment-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2025-3-dg-3-dindex\/\">Read more\u2192<\/a><\/p>\n<p>Lei, B., &amp; Biljecki, F. (2025). Evaluating the development of open 3D city models: A multidimensional assessment. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-4-W6-2025, 137-144. ISPRS TC IV (WG IV\/1)&lt;br \/&gt;20th 3D GeoInfo Conference &#8211; 2-5 September 2025, Kashiwa, Japan. https:\/\/doi.org\/10.5194\/isprs-annals-X-4-W6-2025-137-2025<\/p>\n\t<p><strong>Can Urban Digital Twins Support the Realization of Sustainable Development Goal 11? Identifying Key Social and Technical Challenges<\/strong><\/p>\n<p>Senqi Yang, Edgardo G. Macatulad, Filip Biljecki, Gamze Dane<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/04\/Can-Urban-Digital-Twins-Support-the-Realization-of-Sustainable-Development-Goal-11-Identifying-Key-Social-and-Technical-Challenges-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2025-sdsc-dt-sdg-11\/\">Read more\u2192<\/a><\/p>\n<p>Yang, S., Macatulad, E. G., Biljecki, F., &amp; Dane, G. (2025). Can Urban Digital Twins Support the Realization of Sustainable Development Goal 11? Identifying Key Social and Technical Challenges. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-4-W7-2025, 129-136. ISPRS TC IV (WG IV\/1)&lt;br \/&gt;9th International Conference on Smart Data and Smart Cities (SDSC) &#8211; 2-5 September 2025, Kashiwa, Japan. https:\/\/doi.org\/10.5194\/isprs-annals-X-4-W7-2025-129-2025<\/p>\n\t<p><strong>Can a Large Language Model Assess Urban Design Quality? Evaluating Walkability Metrics Across Expertise Levels<\/strong><\/p>\n<p>Chenyi Cai, Kosuke Kuriyama, Youlong Gu, Filip Biljecki, Pieter Herthogs<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/04\/featured_hu_acca4fe791a800ba-300x244.webp\" alt=\"\" width=\"300\" height=\"244\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2025-sdsc-llm-walkability\/\">Read more\u2192<\/a><\/p>\n<p>Cai, C., Kuriyama, K., Gu, Y., Biljecki, F., &amp; Herthogs, P. (2025). Can a Large Language Model Assess Urban Design Quality? Evaluating Walkability Metrics Across Expertise Levels. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-4-W7-2025, 1-8. ISPRS TC IV (WG IV\/1)&lt;br \/&gt;9th International Conference on Smart Data and Smart Cities (SDSC) &#8211; 2-5 September 2025, Kashiwa, Japan. https:\/\/doi.org\/10.5194\/isprs-annals-X-4-W7-2025-1-2025<\/p>\n\t<p><strong>GeoAI and Urban Geography<\/strong><\/p>\n<p>Pengyuan Liu, Yujun Hou, Binyu Lei, Xiucheng Liang, Filip Biljecki<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/05\/GeoAI-and-Urban-Geography-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2025-geoai-urbangeo\/\">Read more\u2192<\/a><\/p>\n<p>Liu, P., Hou, Y., Lei, B., Liang, X., &amp; Biljecki, F. (2025). GeoAI and Urban Geography. In X. Huang, S. Wang, J. Wilson, &amp; P. Kedron (Eds.), GeoAI and Human Geography: The Dawn of a New Spatial Intelligence Era (pp. 251-266). Springer Nature Switzerland. https:\/\/doi.org\/10.1007\/978-3-031-87421-5_18<\/p>\n\t<p><strong>RooFormer: Reconstructing detailed 3D roof models from high-resolution remote sensing imagery using transformer<\/strong><\/p>\n<p>Dayu Yu, Fan Ye, Peng Yue, Min Chen, Filip Biljecki<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/05\/RooFormer-Reconstructing-detailed-3D-roof-models-from-high-resolution-remote-sensing-imagery-using-transformer-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2025-ijprs-rooformer\/\">Read more\u2192<\/a><\/p>\n<p>Yu, D., Ye, F., Yue, P., Chen, M., &amp; Biljecki, F. (2025). RooFormer: Reconstructing detailed 3D roof models from high-resolution remote sensing imagery using transformer. ISPRS Journal of Photogrammetry and Remote Sensing, 227, 745-758. https:\/\/doi.org\/10.1016\/j.isprsjprs.2025.06.010<\/p>\n\t<p><strong>Bi-directional mapping of morphology metrics and 3D city blocks for enhanced characterisation and generation of urban form<\/strong><\/p>\n<p>Chenyi Cai, Biao Li, Qiyan Zhang, Xiao Wang, Filip Biljecki, Pieter Herthogs<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/05\/Bi-directional-mapping-of-morphology-metrics-and-3D-city-blocks-for-enhanced-characterisation-and-generation-of-urban-form-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2025-scs-bidirectional\/\">Read more\u2192<\/a><\/p>\n<p>Cai, C., Li, B., Zhang, Q., Wang, X., Biljecki, F., &amp; Herthogs, P. (2025). Bi-directional mapping of morphology metrics and 3D city blocks for enhanced characterisation and generation of urban form. Sustainable Cities and Society, 129, 106441. https:\/\/doi.org\/10.1016\/j.scs.2025.106441<\/p>\n\t<p><strong>Texture2LoD3: Enabling LoD3 Building Reconstruction With Panoramic Images<\/strong><\/p>\n<p>Wenzhao Tang, Weihang Li, Xiucheng Liang, Olaf Wysocki, Filip Biljecki, Christoph Holst, Boris Jutzi<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/05\/Texture2LoD3-Enabling-LoD3-Building-Reconstruction-With-Panoramic-Images-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2025-cvprw-texture-2-lod-3\/\">Read more\u2192<\/a><\/p>\n<p>Tang, W., Li, W., Liang, X., Wysocki, O., Biljecki, F., Holst, C., &amp; Jutzi, B. (2025). Texture2LoD3: Enabling LoD3 Building Reconstruction With Panoramic Images (arXiv:2504.05249). arXiv. https:\/\/doi.org\/10.48550\/arXiv.2504.05249<\/p>\n\t<p><strong>Quantifying seasonal bias in street view imagery for urban form assessment: A global analysis of 40 cities<\/strong><\/p>\n<p>Tianhong Zhao, Xiucheng Liang, Filip Biljecki, Wei Tu, Jinzhou Cao, Xiaojiang Li, Shengao Yi<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/05\/Quantifying-seasonal-bias-in-street-view-imagery-for-urban-form-assessment-A-global-analysis-of-40-cities-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2025-ceus-svi-seasonality\/\">Read more\u2192<\/a><\/p>\n<p>Zhao, T., Liang, X., Biljecki, F., Tu, W., Cao, J., Li, X., &amp; Yi, S. (2025). Quantifying seasonal bias in street view imagery for urban form assessment: A global analysis of 40 cities. Computers, Environment and Urban Systems, 120, 102302. https:\/\/doi.org\/10.1016\/j.compenvurbsys.2025.102302<\/p>\n\t<p><strong>ZenSVI: An open-source software for the integrated acquisition, processing and analysis of street view imagery towards scalable urban science<\/strong><\/p>\n<p>Koichi Ito, Yihan Zhu, Mahmoud Abdelrahman, Xiucheng Liang, Zicheng Fan, Yujun Hou, Tianhong Zhao, Rui Ma, Kunihiko Fujiwara, Jiani Ouyang, Matias Quintana, Filip Biljecki<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/05\/ZenSVI-An-open-source-software-for-the-integrated-acquisition-processing-and-analysis-of-street-view-imagery-towards-scalable-urban-science-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2025-ceus-zensvi\/\">Read more\u2192<\/a><\/p>\n<p>Ito, K., Zhu, Y., Abdelrahman, M., Liang, X., Fan, Z., Hou, Y., Zhao, T., Ma, R., Fujiwara, K., Ouyang, J., Quintana, M., &amp; 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.2025.102283<\/p>\n\t<p><strong>What is a Digital Twin anyway? Deriving the definition for the built environment from over 15,000 scientific publications<\/strong><\/p>\n<p>Mahmoud Abdelrahman, Edgardo G. Macatulad, Binyu Lei, Matias Quintana, Clayton Miller, Filip Biljecki<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/05\/What-is-a-Digital-Twin-anyway-Deriving-the-definition-for-the-built-environment-from-over-15000-scientific-publications-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2025-bae-dt-definition\/\">Read more\u2192<\/a><\/p>\n<p>Abdelrahman, M., Macatulad, E., Lei, B., Quintana, M., Miller, C., &amp; Biljecki, F. (2025). What is a Digital Twin anyway? Deriving the definition for the built environment from over 15,000 scientific publications. Building and Environment, 274, 112748. https:\/\/doi.org\/10.1016\/j.buildenv.2025.112748<\/p>\n\t<p><strong>Coverage and bias of street view imagery in mapping the urban environment<\/strong><\/p>\n<p>Zicheng Fan, Chen-Chieh Feng, Filip Biljecki<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/05\/Coverage-and-bias-of-street-view-imagery-in-mapping-the-urban-environment-300x210.jpg\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/ual.sg\/publication\/2025-ceus-svi-coverage\/\">Read more\u2192<\/a><\/p>\n<p>Fan, Z., Feng, C.-C., &amp; Biljecki, F. (2025). Coverage and bias of street view imagery in mapping the urban environment. <em>Computers, Environment and Urban Systems<\/em>, <em>117<\/em>, 102253. https:\/\/doi.org\/10.1016\/j.compenvurbsys.2025.102253<\/p>\n<h2 id=\"ucdl-pubs\">\n\t\t\tUrban Climate Design Lab (UCDL)\t<\/h2>\n\t<p><strong>High-resolution pedestrian-level air temperature evaluation in tropical high-density cities-Using machine learning and point\u2011based morphology<\/strong><\/p>\n<p>Yilu Luo, Do Phuong Tung Bui, Chao Yuan<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/07\/High-resolution-pedestrian-level-air-temperature-evaluation-in-tropical-high-density-cities-Using-machine-learning-and-point\u2011based-morphology-300x210.png\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0360132326001800\">Read more \u2192<\/a><\/p>\n<p>Luo, Y., Bui, D. P. T., &amp; Yuan, C. (2026). High-resolution pedestrian-level air temperature evaluation in tropical high-density cities-Using machine learning and point\u2011based morphology. Building and Environment, 294, 114374. https:\/\/doi.org\/10.1016\/j.buildenv.2026.114374<\/p>\n\t<p><strong>Machine learning-based design optimization of urban greening for cooling in tropical cities<\/strong><\/p>\n<p>Taihan Chen, Xiao Liu , Chao Yuan<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/07\/Machine-learning-based-design-optimization-of-urban-greening-for-cooling-in-tropical-cities-300x210.png\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S036013232600274X\">Read more \u2192<\/a><\/p>\n<p>Chen, T., Liu, X., &amp; Yuan, C. (2026). Machine learning-based design optimization of urban greening for cooling in tropical cities. Building and Environment, 295, 114468. https:\/\/doi.org\/10.1016\/j.buildenv.2026.114468<\/p>\n\t<p><strong>A city-scale mapping tool for assessing effects of urban greenery and morphologies on thermal comfort: A case study in Singapore<\/strong><\/p>\n<p>Taihan Chen, Vivek Kumar Singh, Shuyang Zhang, Liqing Zhang, Chao Yuan<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cde.nus.edu.sg\/nuscities\/wp-content\/uploads\/sites\/36\/2026\/07\/A-city-scale-mapping-tool-for-assessing-effects-of-urban-greenery-and-morphologies-on-thermal-comfort-A-case-study-in-Singapore-300x210.png\" alt=\"\" width=\"300\" height=\"210\" \/><\/p>\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0360132325012302\">Read more \u2192<\/a><\/p>\n<p>Chen, T., Singh, V. K., Zhang, S., Zhang, L., &amp; Yuan, C. (2026). A city-scale mapping tool for assessing effects of urban greenery and morphologies on thermal comfort: A case study in Singapore. Building and Environment, 287, 113760. https:\/\/doi.org\/10.1016\/j.buildenv.2025.113760<\/p>\n\t<p><a href=\"https:\/\/cde.nus.edu.sg\/nuscities\/nus-cities-research-towns-and-communities\/#header\">Back to Top \u2191<\/a><\/p>\n\n","protected":false},"excerpt":{"rendered":"<p>Urban Digital Platforms Projects Centre for Sustainable Asian Cities (CSAC) Urban Climate Design Lab (UCDL) Publications NUS Cities Urban Analytics Lab (UAL) Urban Climate Design Lab (UCDL) Projects Centre for Sustainable Asian Cities (CSAC) Decoding Vernacular Architecture by Guiding Human Intuition with Deep Learning Heng Chye Kiang, Li Jiali, Chang T C, Xue Xuan, Yang [&hellip;]<\/p>\n","protected":false},"author":257,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"rs_blank_template":"","rs_page_bg_color":"","slide_template_v7":"","site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"full-width-container","site-content-style":"unboxed","site-sidebar-style":"unboxed","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-18678","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/cde.nus.edu.sg\/nuscities\/wp-json\/wp\/v2\/pages\/18678","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cde.nus.edu.sg\/nuscities\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cde.nus.edu.sg\/nuscities\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cde.nus.edu.sg\/nuscities\/wp-json\/wp\/v2\/users\/257"}],"replies":[{"embeddable":true,"href":"https:\/\/cde.nus.edu.sg\/nuscities\/wp-json\/wp\/v2\/comments?post=18678"}],"version-history":[{"count":4,"href":"https:\/\/cde.nus.edu.sg\/nuscities\/wp-json\/wp\/v2\/pages\/18678\/revisions"}],"predecessor-version":[{"id":18989,"href":"https:\/\/cde.nus.edu.sg\/nuscities\/wp-json\/wp\/v2\/pages\/18678\/revisions\/18989"}],"wp:attachment":[{"href":"https:\/\/cde.nus.edu.sg\/nuscities\/wp-json\/wp\/v2\/media?parent=18678"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}