SHUANG ZHAO is a research specialist with expertise in urban planning and design, focusing on large-scale social-ecological issues. She utilizes machine learning, remote sensing, and quantitative analysis in her work. Shuang holds an MLA degree in nature-based design and has experience in both public and private sectors related to urban planning and forestry. Her current interests include human-nature interaction, data visualization, and environmental governance.
Research Theme
- The Role of Urban Analytics in Informing Environmental Policies
Shuang focuses on the use of machine learning and remote sensing to understand the complex interactions between urban environments and ecological systems. By leveraging these technologies, urban analytics identifies patterns in land use, air quality, and energy consumption, enabling policymakers to make informed decisions that promote sustainability. - Just Approaches to Achieving Environmental Resiliency and Sustainability
Shuang emphasizes analyzing the interconnections among environmental, ecological, and social factors to inform integrated strategies that ensure equitable resource distribution and encourage community participation.
Peer – Review Paper
- SCI: Chengyu, Ran., Junyi, Pan., Yuxin, Lin., Tongyan, Li., Yaling, Huang,. Jingkai, Huang., Shiyuan, Fan., Wenqiang, Fang., Shuang, Zhao.,Yuxiang Liu., Jiali, Jin.,**and Weicong, Fu. Utilizing spontaneous plants for sustainable development in residential green spaces: Insights from environmental drivers and niche analysis in Fuzhou City, China. Journal of Environmental Management | https://10.1016/j.jenvman.2024.122219.
- SCI: Shiyuan, Fan., Jingkai Huang., Chengfei, Gao., Yuxiang, Liu., Shuang, Zhao., Wenqiang, Fang., Chengyu, Ran., Jiali, Jin* and Weicong, Fu*.The Characteristics of Visitor Behavior and Driving Factors in Urban Mountain Parks: A Case Study of Fuzhou, China. Forests | https://doi.org/10.3390/f15091519.