期刊
BUILDING AND ENVIRONMENT
卷 231, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2023.110006
关键词
Multi criteria; Design decision-making; Multi-species; Building envelope; Sustainability
Rapid urbanization has negative impacts on the built and biotic environment, requiring interdisciplinary mitigation strategies. Current nature-based solutions integrated into building envelope design have proven beneficial, but they often overlook the potential to support other living organisms. A multi-species approach is envisioned to facilitate more holistic envelope-design solutions.
Rapid urbanization negatively affects the built and biotic environment, necessitating interdisciplinary mitigation strategies. Current nature-based solutions that are integrated into building envelope design have proved to be beneficial. These solutions, however, are primarily anthropocentric and often overlook the potential to support other living organisms, such as animals and microbiota. Thus, a multi-species approach is envisioned to facilitate more holistic envelope-design solutions. While integrating ecological knowledge into architectural design often introduces decision-making complexity, multi-criteria decision-making can support multi-species building en-velope design. This paper reviews such decision-making applications in two domains: building envelope design and ecological planning design. Using a systematic literature review methodology to compile relevant publica-tions for full-text analysis, the results show significant disparities between the two domains. This is primarily driven by decision-making applications, the scale of analysis, criteria typology and external decision-maker engagement. However, we identified opportunities to sequentially employ multi-objective optimization and multi-attribute decision-making to mitigate the technical differences and facilitate interdisciplinary collabora-tion. Finally, we discuss future developments using hybrid multi-criteria decision-making to facilitate better architectural and ecological computer-aided design.
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