Zhenqi Zhou
Education:
ME: Landscape Architecture, 2021, Nanjing Forestry University
BA: Landscape Gardening, 2018, Zhejiang A&F University, China
Research Interests:
GeoAI, Disaster Resilience, Public Health, Urban Analytics, and Human Mobility
Grants and Awards:
2024, CESASC Scholarship, by Chinese-American Engineers and Scientists Association of Southern California (CESASC)
2024, Michael Trapasso Climate Impacts Award, by Department of Geography at the University at Buffalo - SUNY
2024, Hugh W. Calkins Applied GIS Award, by Department of Geography at the University at Buffalo - SUNY
2023, Travel Award, by 2023 NSF I-GUIDE Summer School Program
2023, Hugh W. Calkins Applied GIS Award, by Department of Geography at the University at Buffalo - SUNY
2022, NSF Research Experience for Graduates (REG) Grant, by Human-Environment and Geographical Sciences (HEGS) program in the National Science Foundation (NSF), Student PI
Recent Courses Taught:
Teaching Assistant, GEO 481/506 Geographical Information Systems Lab
Publications:
Zhou R.Z., Hu Y., Zou L., Cai H., & Zhou B. (2024): Understanding the disparate impacts of the 2021 Texas winter storm and power outages through mobile phone location data and nighttime light images. International Journal of Disaster Risk Reduction, 103, 104339. https://doi.org/10.1016/j.ijdrr.2024.104339
Tirabassi, J. N., Wang, J., Zhou, R. Z., & Hu, Y. (2024): Human mobility data demonstrates increase in park visitation since start of COVID-19 pandemic in Buffalo, New York. Preventive Medicine Reports, 102650. https://doi.org/10.1016/j.pmedr.2024.102650
Sun K., Hu Y., Lakhanpal, G., & Zhou, R.Z. (2023): Spatial cross-validation for GeoAI. Handbook of Geospatial Artificial Intelligence, Taylor & Francis Group.
Hu, Y., Mai, G., Cundy, C., Choi, K., Lao, N., Liu, W., Lakhanpal, G., Zhou, R.Z., & Joseph, K. (2023): Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. International Journal of Geographical Information Science, 1-30. https://doi.org/10.1080/13658816.2023.2266495
Sun K., Hu Y., Ma Y., Zhou R. Z., & Zhu Y. (2023): Conflating point of interest (POI) data: A systematic review of matching methods. Computers, Environment and Urban Systems, 103, 101977. https://doi.org/10.1016/j.compenvurbsys.2023.101977
Zhou R.Z., Hu Y., Tirabassi J.N, Ma Y., & Xu Z. (2022): Deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data for enhancing obesity estimation. International Journal of Health Geographics, 21, 22. https://doi.org/10.1186/s12942-022-00321-4
Yue M., Hu Y., Moncrieff G.R., Slingsby J.A., Wilson A.M., Maitner B., & Zhou R.Z. (2022): Forecasting vegetation dynamics in an open ecosystem by integrating deep learning and environmental variables. International Journal of Applied Earth Observation and Geoinformation, 114, 103060. https://doi.org/10.1016/j.jag.2022.103060
Zhou R.Z., Xu Z., Liu A., Zhou S., Mu L., & Zhang X. (2021): Mapping the accessibility of medical facilities of Wuhan during the COVID-19 pandemic. International Journal of Geo-Information, 10(5), 318. https://doi.org/10.3390/ijgi10050318
Zhou R.Z. & Xu Z. (2020): Detecting the pedestrian shed and walking route environment of urban parks with open-source data: a case study in Nanjing, China. International Journal of Environmental Research and Public Health, 17(13), 4826. https://doi.org/10.3390/ijerph17134826
Liu A., Kelobonye K., Zhou R.Z., Xu Q., Xu Z., & Han L. (2020): School commuting mode shift: a scenario analysis for active school commuting using GIS and online map API. International Journal of Geo-Information, 9(9), 520. https://doi.org/10.3390/ijgi9090520
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