Geographies of infections: built environment and COVID-19 pandemic in metropolitan Melbourne.
Geographies of infections: built environment and COVID-19 pandemic in metropolitan Melbourne.
复制标题
DOI：
10.1016/j.scs.2022.103838
复制
发表时间：
2022-06
影响因子：
11.7
通讯作者：
Cobbinah PB
中科院分区：
文献类型：
--
作者：
Gaisie E;Oppong-Yeboah NY;Cobbinah PB
本文使用空间统计技术来反映大都市墨尔本COVID-19感染的地理分布。我们认为，自2020年初以来在墨尔本广泛传播的COVID-19大流行的演变通常通过多种建筑环境属性-多样性，目的地可达性，交通距离，设计和密度进行。传染病的传播在当地社区和邮政编码内制度化，并重塑运动实践，话语和行政政治结构。我们通过强调建筑环境在三波疫情中对COVID-19感染的影响的一致性，展示了对建筑环境空间模式的关注如何为与COVID-19大流行相关的感染传播和更广泛的感染地理学提供信息。对建筑环境影响的关注旨在制定未来的愿景，因为新的变种出现，说明了在全球城市适应“COVID正常”生活时了解感染地理位置的重要性。我们认为，了解城市内感染的地理位置可能是通过包容性紧凑，混合用途开发和安全的公共交通来追求可持续城市发展的跳板。
This paper uses spatial statistical techniques to reflect on geographies of COVID-19 infections in metropolitan Melbourne. We argue that the evolution of the COVID-19 pandemic, which has become widespread since early 2020 in Melbourne, typically proceeds through multiple built environment attributes – diversity, destination accessibility, distance to transit, design, and density. The spread of the contagion is institutionalised within local communities and postcodes, and reshapes movement practices, discourses, and structures of administrative politics. We demonstrate how a focus on spatial patterns of the built environment can inform scholarship on the spread of infections associated with COVID-19 pandemic and geographies of infections more broadly, by highlighting the consistency of built environment influences on COVID-19 infections across three waves of outbreaks. A focus on the built environment influence seeks to enact visions of the future as new variants emerge, illustrating the importance of understanding geographies of infections as global cities adapt to ‘COVID-normal’ living. We argue that understanding geographies of infections within cities could be a springboard for pursuing sustainable urban development via inclusive compact, mixed-use development and safe public transport.
登录
查看更多内容
影响因子：
6.1
作者：
Ahsan MM
通讯作者：
Ahsan MM
影响因子：
11.7
作者：
Frank LD;Wali B
通讯作者：
Wali B
影响因子：
3
作者：
Bhadra A;Mukherjee A;Sarkar K
通讯作者：
Sarkar K
影响因子：
9.1
作者：
Brown, Greg;Schebella, Morgan Faith;Weber, Delene
通讯作者：
Weber, Delene
影响因子：
29.9
作者：
Guan, Dabo;Wang, Daoping;Gong, Peng
通讯作者：
Gong, Peng