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Socio-Ecological Visual Analytics Environment “SEVA”: A novel visual analytics environment for interdisciplinary decision-making linking human biometrics and environmental data
IOP Conference Series: Earth and Environmental Science Pub Date : 2020-11-21 , DOI: 10.1088/1755-1315/588/3/032062
M Aly Etman 1 , N Keena 1 , A Dyson 1
Affiliation  

Current architectural design practice is limited in its consideration and understanding of life-cycle energy flows which comprise multiple phases, from material resource extraction, construction, building occupation within the built environment, and after demolition. Furthermore, bioclimatic environmental flows interact with the buildings, particularly at the building envelope, making it a rich interface for shaping energy flows towards buildings that are energy self-sufficient with clean on-site energy resources. The buildings we inhabit directly affect the greater built environment which is an inherent part local ecosystems that compose part of larger ecologies at global scales, ultimately affecting the overall biosphere. As a result, the buildings we construct, directly and indirectly, affect our economies, the health, and well-being of our societies and our natural environments. This paper explores the development of a computational framework that allows designers to visualize, understand and evaluate their design choices in terms of their environmental implications and ecological efficacy. The framework for design analysis offers a more comprehensive ecological analysis than existing sustainability assessment tools by collecting live environmental and human biometrics towards considering the entire comfort cycle. Working with SEVA, Socio-Ecological Visual Analytics, platform a web tool designed to allow for interactive feedback in real-time. This research is proposing to investigate the visualization of human data as a metric to analyze the well-being of the environment, which is an inversion of received perspectives. This paper will use a case study, assessing a built environment unit tracking the environmental conditions, building systems performance and the user human biometrics, demonstrating the qualitative and quantitative environmental impacts of the building design on the users.



中文翻译:

社会生态视觉分析环境“SEVA”:一种新颖的视觉分析环境,用于连接人类生物特征和环境数据的跨学科决策

当前的建筑设计实践在考虑和理解包括多个阶段的生命周期能量流方面受到限制,从材料资源提取、施工、建筑环境中的建筑占用以及拆除后。此外,生物气候环境流与建筑物相互作用,特别是在建筑围护结构处,使其成为形成能源流向建筑物的丰富界面,这些建筑物具有清洁的现场能源资源,能源自给自足。我们居住的建筑物直接影响更大的建筑环境,这是当地生态系统的固有部分,构成全球范围内更大生态系统的一部分,最终影响整个生物圈。因此,我们建造的建筑物直接和间接地影响着我们的经济、健康、以及我们社会和自然环境的福祉。本文探讨了一个计算框架的开发,该框架允许设计师根据环境影响和生态功效来可视化、理解和评估他们的设计选择。设计分析框架通过收集实时环境和人类生物特征来考虑整个舒适周期,提供比现有可持续性评估工具更全面的生态分析。与 SEVA、Socio-Ecological Visual Analytics 合作,该平台是一个旨在允许实时交互式反馈的网络工具。这项研究提议将人类数据的可视化作为分析环境福祉的指标进行调查,这是对已接受观点的反转。本文将使用案例研究,

更新日期:2020-11-21
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