MINGZE CHEN

MINGZE CHEN

Mingze Chen is a Ph.D. scholar at The University of British Columbia (UBC) and the founder (Leader) of Nature AI Lab. His research focuses on the interdisciplinary application of big data and machine learning technologies in urban nature analytics. He completed the MArch in machine learning urbanism at University College London (UCL), UK. He used to work as a researcher at UCL Urban Lab and as an architect in Shanghai for the past decade. Mingze’s research interests include Human-nature interaction and well-being, Urban Vitality and Environmental Justice, Computational Design and Data visualization.

Research Theme

  • Human Behavior and Well-being in Natural Areas
    Applying sensor and vision-based technologies to understand human volumes, trajectories, and activities in urban, regional, and national parks. I focus on the primary data collection to explore the relationship between the human behaviour and health.
  • Urban Nature Vitality and Environmental Justice
    Using big data (Points of Interest, Street View Imagery, Social-economic data, Social media data), machine learning (Computer vision), and tools (GIS, Smartphone GPS, Sensor, Unmanned Aerial Vehicle), to evaluate diversity, preference, and distribution in human-nature interaction.
  • Computational Design and Data Visualization
    Investigating the Rhino-Grasshopper/Python/HTML-CSS-JS/GIS-based working flow efficient parametric design and readable data visualization method.

Peer – Review Paper

Peer-reviewed Articles

  1. Chen, Mingze., Zhang, Yang., Yang, Yubing., Fang, Zhiguo. Application of data visualization in urban design based on GrasshopperLandscape Architecture Academic Journal 2022, 39(5), 44-51. (in Chinese)| https://doi.org/10.12193/j.laing.2022.05.0044.006陈铭泽,张洋,杨玉冰,方智果.基于Grasshopper平台的数据可视化在城市设计中的研究与实践[J].园林,2022,39(05):44-51.
  2. SCI: Shen, Xiwei., Chen, Mingze*, Ge Mengting*, Padua, Mary G. Examining the Conceptual Model of Potential Urban Development Patch (PUDP), VOCs, and Food Culture in Urban Ecology: A Case in Chengdu, China. Atmosphere 2022, 13, 1369. | https://doi.org/10.3390/atmos13091369.
  3. SCI: Wang, Ling., Ding, Jiahui.; Chen, Mingze., Sun, Yuan., Tang, Xueyun., Ge, Mengting*. Exploring Tourists’ Multilevel Spatial Cognition of Historical Town Based on Multi-Source Data—A Case Study of Feng Jing Ancient Town in Shanghai. Buildings 2022, 12, 1833. | https://doi.org/10.3390/buildings12111833
  4. SCI: Zhang, Yang., Li, Xiaowei., Jiang, Qingrui., Chen, Mingze*., Liu, Lunyuan*. Quantify the Spatial Association between the Distribution of Catering Business and Urban Spaces in London Using Catering POI Data and Image Segmentation. Atmosphere 2022, 13, 2128. | https://doi.org/10.3390/atmos13122128.
  5. SCI: Qiao, Renlu, Zhiqaing Wu, Shuo Gao, Qingrui Jiang, Xiaochang Liu, Chenyu Huang, Li Xia, and Chen, Mingze. Towards inclusive underground public transportation: Gender differences on thermal comfort. Building and Environment 2023 Jul 5:110569. | https://doi.org/10.1016/j.buildenv.2023.110569.
  6. SCI / SSCI: Ge, Mengting., Kong, Jie., Yang, Qiuyi., Chen, Mingze*., Wang, Wenji*. Examine an Intelligence Education Framework of Landscape Architecture (EFLA) Based on Network Model of Technology in Landscape Architecture (NMTLA). Sustainability 2023 | https://doi.org/10.3390/su151411277
  7. SSCI: Priya Rajendran*., Raúl Leal., Chen, Mingze., Juan Carlos, Guerrero Andrade., Rakib, Akhtar., Lazaro, Eliyah Mngumi., Sheeba, Chander., Sudhan, Srinivas., Maria, Rinya Roy. The ‘Peri-Urban Turn’: A systems thinking approach for a paradigm shift in reconceptualising urban-rural futures in the global South. Habitat International 2024| https://doi.org/10.1016/j.habitatint.2024.103041
  8.  SCI: He, Wei., Chen, Mingze*. Advancing Urban Life: A Systematic Review of Emerging Technologies and AI in Urban Design and Planning.  Buildings | https://doi.org/10.3390/buildings14030835
  9. SCI: Shen, Xiwei., Chen, Mingze., Li, Xiaowei*., Yang, Qiuyi., Sun, Qingqing., Gao, Shu. Advancing climate resilience through a geo‑design framework: strengthening urban and community forestry for sustainable environmental design. Journal of  Forestry Research | https://doi.org/10.1007/s11676-024-01772-0
  10. SCI/SSCI: Zhang, Kaiqi., Chen, Mingze*. Multi-method analysis of urban green space accessibility: Influences of land use, greenery types, and individual characteristics factors. Urban Forestry & Urban Greening  | https://doi.org/10.1016/j.ufug.2024.128366.
  11. SCI/SSCI: Chen, Mingze., Cai, Yuxuan., Guo, Shuying., Sun, Ruilin., Shen, Xiwei*. Evaluating implied urban nature vitality in San Francisco: An interdisciplinary approach combining census data, street view images, and social media analysis. Urban Forestry & Urban Greening 2024 | https://doi.org/10.1016/j.ufug.2024.128289
  12.  SCI: Sun, Pingyao., Chen, Mingze*., Jingyi, Chen*. The “Blue” Habitat of Urban & Suburban Areas and approaches for its
    biodiversity research: A scoping review. Journal of Environmental Managementhttps://doi.org/10.1016/j.jenvman.2024.123567.
  13. SCI: Luo, Tianze., Chen, Mingze*. Advancements insupervised machine learning foroutdoor thermal comfort: Acomprehensive systematic review ofscales, applications, and data types. Energy & Buildingshttps://doi.org/10.1016/j.enbuild.2024.115255.
  14. SCI: Fan, Yuan., Chen, Mingze*. A systematic review of measurement tools and senior engagement in urban nature: Health benefits and behavioral patterns analysis. Health and Place | https://doi.org/10.1016/j.healthplace.2024.103410.

Conference 

  • Chen, Mingze., Huang, Yongming., Zheng, Yuqiao., Du, Jiani., Park, Keunhyun. Defining Urban Vitality Using Text-based, Image-based, and GPS Data2024 ACSP (Association of Collegiate Schools of Planning) Individual Paper Presentation (Accepted)
  • Zhou, Xuanyu., Chen, Mingze. Greening the Gap: Examining Urban Greenery Equity in Shrinking Cities2024 ACSP (Association of Collegiate Schools of Planning) Individual Paper Presentation (Accepted)
  • Chen, Mingze., Huang, Yongming*., Zheng, Yuqiao., Du, Jiani. Evaluating Urban Vitality with Big Data across 10 Global Cities2024 IFLA (International Federation of Landscape Architects) Conference Abstract (Accepted)
  • Chen, Mingze., Huang, Yongming., Zheng, Yuqiao., Du, Jiani. Evaluating Urban Vitality with Big Data: Insights from Social Media and GPS Data across 10 Global Cities | 2024 EDRA (Environmental Design Research Association) Conference Abstract (Accepted)
  • Zhou, Xuanyu., Chen, Mingze. Using Sensor and Vision-Based Technologies to Examine the Quality Transformation of Green Space in Multi-Shrinking Cities2024 EDRA (Environmental Design Research Association) Conference Abstract (Accepted)
  • Chen, Mingze., Park, Keunhyun. Vision-based and sensor-based technologies in monitoring human behaviours in natural areas: A scoping review2024 CELA (Council of Educators in Landscape Architecture) Conference Abstract (Accepted)
  • Luo, Tianze., Chen, Mingze. Smart Canopies: Optimizing Tree Layouts for Enhanced Thermal Comfort — An Edinburgh Case Study2024 IUFRO (International Union of Forest Research Organizations) Conference Abstract (Accepted)
  • Wang, Yuxi.,  Wang, Xinyi.,  Shen, Xiwei., Chen, Mingze. Unmasking Human Impact on Panda Habitats and Orchestrating Sustainable Forestry Futures: A systematic review2024 IUFRO (International Union of Forest Research Organizations) Conference Abstract (Accepted)
  • Chen, Mingze., Liu, Yuxuan., Chadha, Trishla. A Comprehensive Model for Pedestrian-Scale Evaluation of Linear Greenery Visibility2023 IFLA (International Federation of Landscape Architects) Conference Abstract (Accepted)
  • Xiwei Shen., Chen, Mingze. Examine an Intelligence Education Framework of Landscape Architecture (EFLA)2023 IFLA (International Federation of Landscape Architects) Conference Abstract (Accepted)
  • Shen, Xiwei., Chen, Mingze. Examine an Intelligence Education Framework of Landscape Architecture (EFLA) Based on Network Model of Technology in Landscape Architecture (NMTLA) in 21st Century2023 ECLAS (European Council of Landscape Architecture Schools) Conference (Accepted) 
  • Chen, Mingze. Using big data and machine learning to quantify urban green space equality by ethnicity, gender, income, and age | 2022 IFLA (International Federation of Landscape Architects) Conference Abstract (Accepted)
  • Chen, Mingze., Yu, Yingwen., Wang, Yaxin., Sun, Ruilin. Touching the intangible landscape heritage: revive urban lifestyles based on virtual and augmented reality technologies | 2022 IFLA (International Federation of Landscape Architects) Conference Abstract (Accepted)
  • Chen, Mingze., Sun, Ruilin., Wang, Yaxin, Yu, Yingwen. Using the data-driven method to explore the ambiguous urban landscape heritage –100 urban open space cases in Milan, Italy | 2022 IFLA (International Federation of Landscape Architects) Conference Abstract (Accepted)
  • Shen, Xiwei., Padua, Mary., Chen, Mingze. Themes in Digital Landscape Architecture: Techniques or Technologies? | 2022 CELA (Council of Educators in Landscape Architecture) Conference Abstract

Book 

  1. Agro-Matrix. In M.Arch. UD 2021-2022 (pp. 148–159). Bartlett School of Architecture, UCL.
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