Fang-Ying Gong

Fang-Ying’s research focuses on data-driven climate-sensitive urban planning and governance in high-density urban environments. Her research aims to provide scientific urban governance strategies through quantifying the spatio-temporal changes of the streetscape and thermal environments. She developed a street-sensing approach using street-level imagery to accurately quantify 3D urban street physical and thermal environments, and to investigate the impacts on urban socioeconomic development.

Education Experience

• 2014 - 2019, PhD, Sustainable Urban Planning, School of Architecture, The Chinese University of Hong Kong (CUHK)

Work Experience

• 2021.8 - Now, Assistant Professor, Big Data for Governance, Renmin University of China (RUC)
• 2020 - 2021, Research Technician, Division of Geological and Planetary Sciences, California Institute of Technology (Caltech)
• 2017 - 2018, Visiting Scholar, School of Architecture and Planning, Massachusetts Institute of Technology (MIT)

Part-time Job

International Journal Reviewer

Landscape and Urban Planning; Cities; Urban Forestry & Urban Greenery; Building and Environment; Sustainable Cities and Society; ISPRS Journal of Photogrammetry and Remote Sensing; Transportation Research PartC Emerging Technologies; Computers Environment and Urban Systems; Journal of Cleaner Production; Environmental Science and Pollution Research; International Journal of Health Geographics; Environment, Development and Sustainability; Journal of Urbanism; Physical Geography; Wiley Book

Research Expertise

Research Interests

• Urban Environmental Governance
• Climate Adaptation Planning
• Green Infrastructure Planning

Research Projects

• Humanity and Social Science Youth Foundation of Ministry of Education, Research on Quantification and Optimization of Urban Street Thermal Environment based on Steet View Images (22YJZH034), 2023-2025, Ongoing, PI
• Fundamental Research Funds for Central Universities, Research on Big-data Driven Urban Street Thermal Environment Governance (22XNKJ11), 2022-2024, Ongoing, PI
• Research Foundation of Renmin University of China, Research on the Application of Satellite Remote Sensing and Street View Images in Urban Greening Planning and Governance in Beijing (2022B-12), 2022-2023, Ongoing, PI
• Research Foundation of Renmin University of China, Research on the Construction of Interdisciplinary Academic Data Opening Platform (2022JCG028), 2022-2022, Completed, PI

Selected Publications

Selected Journal Publications

• Gong, F.-Y.*, Zeng, Z.-C., Zhang, F., Li, X., Ng, E., & Norford, L. K. (2018). Mapping sky, tree, and building view factors of street canyons in a high-density urban environment. Building and Environment, 134, 155-167. (SCI，IF=7.09)
• Gong, F.-Y.*, Zeng, Z.-C., Ng, E., & Norford, L. K. (2019). Spatiotemporal patterns of street-level solar radiance estimated using Google Street View in a high-density urban environment. Building and Environment, 148, 547-566. (SCI，IF=7.09)
• Gong, F.-Y.*, Zeng, Z.-C., & Ng, E. (2016). Modeling elderly accessibility to urban green space in high-density cities: A case study of Hong Kong. Procedia Environmental Sciences, 36, 90-97.
• Hu, C.-B., Zhang F., Gong, F.-Y., Ratti, C., and Li X. (2020). Classification and Mapping of Urban Canyon Geometry Using Google Street View Images and Deep Multitask Learning. Building and Environment, 167, 106424. (SCI，IF=7.09)
• Zeng, Z.-C., Wang Y., Pongetti, T. J., Gong, F.-Y., Newman, S., Li, Y., Natraj, V., Yung, Y. L., & Stanley P. S. (2020). Tracking the atmospheric pulse of a North American megacity from a mountaintop remote sensing observatory. Remote Sensing of Environment, 248, 112000. (SCI，IF=13.85)
• Wang, H., Gong, F.-Y., Newman, S., & Zeng, Z. C. (2021). Consistent weekly cycles of atmospheric NO2, CO, and CO2 in a North American megacity from ground-based, mountaintop, and satellite measurements. Atmospheric Environment, 118809. (SCI，IF=5.76)[7] Zeng, Z.-C., B. Byrne, Gong, F.-Y., Z. He, & L. Lei, (2021). Correlation between paddy rice growth and satellite-observed methane column abundance does not imply causation. Nature Communications. 12, 1163 (2021). (SCI，IF=17.69)

Selected Awards

• 2018, Postgraduate Research Output Award 2018
• 2017, Global Scholarship Program for Research Excellence for 2017-18
• 2015, Professor Charles K.Kao Student Creativity Awards
• 2012, Outstanding Achievement Award in Macao Research in Humanities and Social Sciences (1st Prize)