Urban green and COVID19

The pandemic caused by SARS-CoV-2 (COVID-19) at the beginning of 2020 has restricted the human population indoor with some allowance for recreation in green spaces for social interaction and daily exercise. Understanding and measuring the risk of COVID-19 infection during public urban green spaces (PUGS) visits is essential to reduce the spread of the virus and improve well-being. This study builds a data-fused risk assessment model to evaluate the risk of visiting the PUGS in London.

Maoran Sun has been awarded the highly competitive Turing Enrichment Scheme as a placement student for 2024/25 at the Alan Turing Institute. Maoran's  research interest lies in urban analytics and decaronisation. Maoran’s research takes the approach of applying spatial data science to analyze the building characteristics, occupants’ socioeconomic status, and mobility patterns of HtD buildings. His study aims to build a comprehensive, multi-dimensional understanding of these buildings using publicly available data and advanced deep learning methods.

Haiwei Li (Flora) wins the Best Presentation prize at the Department of Architecture, PhD Conference 2024-25. Her work centres around design research where she intends to develop low cost shading solutions to meet the cliamte related heat stress in resources constraint communities.  

Publications

  • Pan, J. & Bardhan, R. (2022) Evaluating the risk of accessing green spaces in COVID-19 pandemic: A model for public urban green spaces (PUGS) in London. Urban Forestry & Urban Greening, 74(August 2022): 127648. https://doi.org/10.1016/j.ufug.2022.127648
  • Pan, J., Bardhan, R. & Jin, Y. (2021) Spatial Distributive Effects of Public Green Space and COVID-19 Infection in London. Urban Forestry & Urban Greening, 62(July 2021): 127182. https://doi.org/10.1016/j.ufug.2021.127182

Team

Research Associate and PhD Dr Jiayu Pan, University of Cambridge, UK
Principal investigatorDr Ronita Bardhan, University of Cambridge, UK