Green-Blue Space Planning using AI and Urban Sensing Techniques

Both the pandemic and climate challenges have brought mental and physical stress to urban life. Utilizing big data, such as cell phone data and social media data, informs us about how people use urban green spaces or how spaces work for people. We are planning "people-oriented" cities for the people who live here - people's cities are built by the people. 

Projects

Urban ecology, urban design and international comparison of Suzhou Creek

Urban ecology, urban design and international comparison of Suzhou Creek

Publications

  1. Ren, X., Guan, C.*, Chen, S., You, M., Li, Y., & Huang, K. (2025) Planning for Rhythmized Urban Parks: Temporal Park Classification and Modes of Action. Journal of the American Planning Association, 1–20.(SSCI) https://doi.org/10.1080/01944363.2025.2523604
  2. Chen, S., Feng, Y., Guan, C.*, Xu, Y., Tan, Q., Li, Y., & Yang, X. (2025) Machine learning approaches to predicting urban park attractiveness: Insights from Shanghai and Tokyo. Urban Forestry & Urban Greening, 112, 128921.(SCIE&SSCI) https://doi.org/https://doi.org/10.1016/j.ufug.2025.128921 
  3. Wang X , Guan C.*(2025) Assessing green space exposure in high density urban areas: A deficiency-sufficiency framework for Shanghai. Ecological Indicators, 175.(SCIE ) https://doi.org/10.1016/j.ecolind.2025.113494
  4. Xiong, Y., Liang, J. & Guan, C.*(2025) Decoding public sentiment topics in google map reviews on urban infrastructure development of belt and road initiative. Scientific Report 15, 21363.  (SCI) https://doi.org/10.1038/s41598-025-06451-6
  5. Guan, C.* , & Zhou, Y.  (2024). Exploring environmental equity and visitation disparities in peri-urban parks: A mobile phone data-driven analysis in Tokyo. Landscape and Urban Planning, 248, 11, 105104. (SCIE&SSCI) https://doi.org/10.1016/j.landurbplan.2024.105104 
  6. Ren, X., Chow, J. , & Guan, C.* (2024). Mobility service design with equity-aware choice-based decision-support tool: New York case study. Transportation Research Part D-Transport and Environment, 132, 20, 104255. (SCIE&SSCI) https://doi.org/10.1016/j.trd.2024.104255 
  7. Zhou, Y., Guan, C.*, Wu, L.*, Li, Y., Nie, X., Song, J., Kim, S., & Akiyama, Y. (2024). Visitation-based classification of urban parks through mobile phone big data in Tokyo. Applied Geography, 167, 12, 103300. (SSCI) https://doi.org/10.1016/j.apgeog.2024.103300 
  8. Ren, X., Guan, C.*. (2022) Evaluating geographic and social inequality of urban parks in Shanghai through mobile phone-derived human activities. In special issue - Inequalities of infrastructure in the context of healthy and resilient cities. Urban Forestry & Urban Greening 76, 127709. (SCI & SSCI) https://doi.org/10.1016/j.ufug.2022.127709
  9. Ren, X., Guan, C.*, Wang, D, Yang, J., Keith, M. (2022) Exploring land use functional variance using mobile phone derived human activity data in Shanghai. Environment and Planning B: Urban Analytics and City Science. (SSCI) https://doi.org/10.1177/23998083221103261
  10. You, M., Guan, C.*, Lai, R. (2022) Spatial structure of an urban park system based on fractal theory: A case study of Fuzhou, China. Remote Sensing 14, 2144 (SCIE) https://doi.org/10.3390/rs14092144
  11. Hong, A., Baker, L., Curiel, R., Duminy, J, Buswala, B., Guan, C., Ravindranath, D. (2022) Reconciling big data and thick data to advance the new urban science and smart city governance. Journal of Urban Affairs (SSCI) https://doi.org/10.1080/07352166.2021.2021085
  12. Guan, C., Song, J., Keith, M., Zhang, B., Akiyama Y., Da, L., Shibasaki R., Sato, T. (2021) Seasonal variations of park visitor volume and park service area in Tokyo: A mixed-method approach combining big data and field observations. Urban Forestry & Urban Greening, 58, 126973 (SCIE & SSCI) https://doi.org/10.1016/j.ufug.2020.126973
  13. Tan, J., Guan, C.* (2021) Are people happier in locations of high property value? Spatial temporal analytics of activity frequency, public sentiment and housing price using Twitter data. Applied Geography 132, 102474 (SSCI) https://doi.org/10.1016/j.apgeog.2021.102474
  14. Guan, C.*, Song, J., Keith, M., Akiyama Y., Shibasaki R., Sato, T. (2020) Delineating urban park catchment areas using mobile phone data: A case study of Tokyo. Computers, Environment and Urban Systems, 81, 101474. (SSCI) https://doi.org/10.1016/j.compenvurbsys.2020.101474