Mingze Chen is a Ph.D. candidate at UBC and an exchange student at Senseable City Lab, Massachusetts Institute of Technology (MIT). His research focuses on the interdisciplinary application of big data and machine learning technologies in urban nature analytics. He completed the MArch urban design at University College London (UCL), UK. He used to work 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.
Outside work, Mingze is an avid fan of national parks, poems, museums, symphony concerts, traveling, and photography.
Chen, M., Cai, Y., Guo, S., Sun, R., Yang, S., & Shen, X. (2024). 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, 128289. https://doi.org/10.1016/j.ufug.2024.128289
Chen, M., Liu, Y., Liu, F., Chadha, T., & Park, K. (2025). Measuring pedestrian-level street greenery visibility through space syntax and crowdsourced imagery: A case study in London, UK. Urban Forestry & Urban Greening, 128725. https://doi.org/10.1016/j.ufug.2025.128725
Zhang, X., Chen, M., & Huang, Y. (2025). Who gets to use the street? Evaluate the utilization and inclusiveness using crowdsourced videos and vision-language models. Sustainable Cities and Society, 134, 106906. https://doi.org/10.1016/j.scs.2025.106906
Hu, Y., Chen, M., & Cai, Y. (2025). Comparative analysis of greenery inequalities in New York and London: Social-economic and spatial dimensions. Urban Forestry & Urban Greening, 112, 128939. https://doi.org/10.1016/j.ufug.2025.128939
Huang, Y., Du, J., Chen, M., Lin, Y., Huang, S., & Cai, Y. (2026). Evaluating the spatial-temporal impact of urban nature on urban vitality in Vancouver: A social media and GPS data approach. Land Use Policy, 160, 107824. https://doi.org/10.1016/j.landusepol.2025.107824
Luo, T., & Chen, M. (2025). Advancements in supervised machine learning for outdoor thermal comfort: A comprehensive systematic review of scales, applications, and data types. Energy and Buildings, 329, 115255. https://doi.org/10.1016/j.enbuild.2024.115255
Sun, P., Chen, M., & Chen, J. (2025). The “Blue” Habitat of Urban & Suburban Areas and approaches for its biodiversity research: A scoping review. Journal of Environmental Management, 373, 123567. https://doi.org/10.1016/j.jenvman.2024.123567
Yang, J., & Chen, M. (2025). Assessing the impact of urban amenities on people with disabilities in London: A multiscale geographically weighted regression analysis. Habitat International, 161, 103426. https://doi.org/10.1016/j.habitatint.2025.103426
Yuan, F., & Chen, M. (2025). A systematic review of measurement tools and senior engagement in urban nature: Health benefits and behavioral patterns analysis. Health & Place, 91, 103410. https://doi.org/10.1016/j.healthplace.2024.103410
Zhang, K., & Chen, M. (2024). Multi-method analysis of urban green space accessibility: Influences of land use, greenery types, and individual characteristics factors. Urban Forestry & Urban Greening, 96, 128366. https://doi.org/10.1016/j.ufug.2024.128366