Critical review on multi-criteria decision-making for multi-species buiding envelope design has been published
We are excited to share our critical literature review on multi-criteria decision-making toward multi-species building envelope designs. This paper contributes to the ECOLOPES project, which aims to introduce a multi-species approach to building envelope design. This article reviewed multi-criteria decision-making applications within architecture and ecological planning and highlights core aspects for holistic ecology-integrated architectural design.
Here is the paper's abstract:
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 envelope 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 publications 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 collaboration. Finally, we discuss future developments using hybrid multi-criteria decision-making to facilitate better architectural and ecological computer-aided design.