Pan Jiayu, Bardhan Ronita, Jin Ying
The Martin Centre for Architecture, Department of Architecture, University of Cambridge, Cambridge, CB2 1PX, UK.
Urban For Urban Green. 2021 Jul;62:127182. doi: 10.1016/j.ufug.2021.127182. Epub 2021 May 13.
While public green spaces (PGS) are opined to be central in the pandemic recovery, higher accessibility to PGS also mean a higher risk of infection spread from the raised possibility of people encountering each other. This study explores the distributive effects of accessibility of PGS on the COVID-19 cases distribution using a geo-spatially varying network-based risk model at the borough level in London. The coupled effect of social deprivation with accessibility of the PGS was used as an adjustment factor to identify vulnerability. Results indicate that highly connected green spaces with high choice measure were associated with high risk of infection transmission. Socially deprived areas demonstrated higher possibility of infection spread even with moderate connectivity of the PGS. The study demonstrated that only applying a uniform social distancing measure without characterising the infrastructure and social conditions may lead to higher infection transmission.
虽然公共绿地被认为在疫情恢复中至关重要，但公共绿地的高可达性也意味着由于人们相互接触的可能性增加，感染传播的风险更高。本研究使用基于网络的地理空间可变风险模型，在伦敦行政区层面探讨公共绿地可达性对新冠病例分布的分布效应。将社会剥夺与公共绿地可达性的耦合效应作为识别脆弱性的调整因素。结果表明，具有高选择度的高度连通绿地与高感染传播风险相关。即使公共绿地的连通性一般，社会剥夺地区的感染传播可能性也更高。该研究表明，仅采用统一的社交距离措施而不考虑基础设施和社会条件，可能会导致更高的感染传播。
