I work at Shanghai University of Sport as a lecturer teaching data science.
I am now working on mega sports events’ sustainability and urban environment for sports and fitness using multi-source data. If you are seeking any form of academic cooperation, please feel free to email me at yusiyi@sus.edu.cn. Students who are interested in data science in sports events and the public service system for sports and fitness are also welcome to apply for a master’s degree.
I received the B.S. and Ph.D. degrees in Cartography and Geographic Information System from East China Normal University, advised by Bailang Yu (余柏蒗) and Jianping Wu (吴健平), respectively.
My research interest includes statistical modelling on spatial data targeting urban issues.
🔥 News
- 2025.04: 🎉🎉 One Paper accepted by JSTARS about Winter Olympic Venues’ post-Game utilization using nighttime light data.
- 2024.05: 🎉🎉 STRing won 1st prize (runner-up) in the 2024 RoboCup China Open in soccer SPL group.
📝 Publications
Siyi YU, Xizhi ZHAO, Jinlong MA, Yujian LIU
- This study employs nighttime light remote sensing data to analyze 209 global Winter Olympic venues’ post-Game activity. Results indicate that 32.06% exhibit a significant increase, while 12.92% experience a significant decline in activity.
- S. Yu, X. Zhao, J. Ma and Y. Liu, Illuminating Legacy: Tracking the Utilization Pattern of Winter Olympic Venues via Nighttime Light Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, doi: 10.1109/JSTARS.2025.3557274.
Siyi YU, Zuoqi CHEN, Bailang YU*, Lei WANG, Bin WU, Jianping WU
- Quantify the three-dimensional urban landscape pattern with landscape metrics. Find out the importance of the 3D landscape pattern to land surface temperature.
- S. Yu, Z. Chen, B. Yu*, L. Wang, B. Wu, J. Wu, Exploring the relationship between 2D/3D landscape pattern and land surface temperature: A case study of Shanghai, China, Science of the total environment, 2020, 725:138229. doi: 10.1016/j.scitotenv.2020.138229
Siyi YU, Bailang YU, Wei SONG, Bin WU, Jianhua ZHOU, Yan HUANG, Jianping WU, Feng ZHAO, Weiqing MAO
- A new indicator named Floor Green View Index (FGVI) is proposed to quantify the visual amenity of urban vegetation, defined as the area of visible urban vegetation observed from a certain floor in a building.
- Yu, S., View-based greenery: A three-dimensional assessment of city buildings’ green visibility using Floor Green View Index, Landscape and Urban Planning,2016, 152: 13-26. doi: 10.1016/j.landurbplan.2016.04.004
🎖 Honors and Awards
- 2024.05 Team Advisor for 2024 RoboCup China Open in soccer SPL group. Provided technical guidance and strategic coaching to a student team that won 1st prize (second place) in a national-level robotics contest.
📖 Educations
- 2013.09 - 2020.06, Doctor of Philosophy, East China Normal University, Shanghai, China.
- 2017.09 - 2019.02, Visiting Scholar, Louisiana State University, Baton Rouge, USA.
- 2009.09 - 2013.06, Undergraduate, East China Normal University, Shanghai, China.
💬 Invited Talks and Conference Presentations
- 2024.10, 数据驱动视角的城市体育资源观察, Shanghai.
- 2018.04, Relationships between three-dimensional landscape pattern metrics and land surface temperature, Annual Meeting of the Association of American Geographers (AAG), New Orleans, Louisiana.
- 2016.04, How much GREEN can U see on a floor - Floor Green View Index: an indicator for quantifying visibility of urban vegetation using remotely sensed images and GIS, Annual Meeting of the Association of American Geographers (AAG), San Francisco, California.
💻 Internships
- 2012.10 - 2012.12, SMG, China.