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Building Pandemic Resilience in the Design of Complex Public Buildings

Building Pandemic Resilience in the Design of Complex Public Buildings
在复杂公共建筑的设计中建立流行病抵御能力
批准号:
2583148
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --

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中文摘要
翻译
职务名称:在复杂公共建筑设计中建立抗疫能力--从根本上扩展空间配置的图论以防控疾病摘要:COVID-19疫情的爆发对复杂公共建筑的重新开放提出了紧迫的挑战,特别是那些接收大量用户的建筑,如图书馆、博物馆和画廊。创新地测试和扩展Hillier的最新工作,Li和Psarra表明,这些建筑应用重新开放策略的能力受到其布局的空间属性的影响,多样化或限制运动选择(2020)。这表明,实际上需要采取循证办法,采用空间解决方案进行疾病控制。论证了将空间结构与运动的关系建立在坚实科学基础上的理论必要性。空间句法的广泛研究证实了空间结构对运动速率的预测作用。然而,空间语法无法以一种可以使它们具有可比性的方式描述空间结构(Hillier 2019)。这个具有挑战性的项目将通过对疫情之前和期间复杂建筑的计算研究,结合运动行为数据,深入探索管理游客流通的空间策略,从而扩展Hillier的理论。以控制和预防疾病传播为重点,成果将是:a)描述和比较空间结构族的计算模型; B)大流行复原力的空间标准,以帮助现有和新设计在大流行期间适应的能力。
英文摘要
Title: Building Pandemic Resilience in the Design of Complex Public Buildings- Radically Extending Graph Theory of Spatial Configuration for the Control and Prevention of Disease SpreadSummery:The outbreak of COVID-19 pandemic has posed urgent challenges in the reopening of complex public buildings, especially those receiving large numbers of users, such as libraries, museums and galleries. Innovatively testing and extending Hillier's latest work, Li and Psarra showed that the capability of these buildings to apply reopening strategies is influenced by the spatial properties of their layout, diversifying or restricting movement choices (2020). This illustrates the practical need for an evidence-based approach to the adoption of spatial solutions for disease-control. It also demonstrates the theoretical need for placing the relationship between spatial structure and movement on firm scientific foundation. Extensive research by space syntax confirms the predictive role of spatial structure on movement rates. However, space syntax cannot describe spatial structures in a way that can make them comparable (Hillier 2019). This challenging project will extend Hillier's theory through in-depth explorations of spatial strategies for managing visitor circulation by a computational study of complex buildings before and during the pandemic, combined with behavioural data of movement. With a focus on the control and prevention of disease spread, the outcome will be: a) a computational model describing and comparing families of spatial structures; b) spatial standards for pandemic resilience assisting the capability of existing and new designs to adapt during pandemics.
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