The purpose of this paper is to present a review of existing models and tools for evaluating the adaptability of buildings. A baseline of the current state of the art in adaptability evaluation and adaptation decision support is established; from this baseline, gaps for future research are recommended.
A literature review was conducted to identify papers describing adaptability models and tools. The identified models were characterized based on their focus (new buildings, existing buildings, building life cycle), considered variables (physical and/or context features) and degree/type of validation.
Models can be grouped as those focusing on: evaluating adaptation decisions for existing buildings; the design of new buildings for future adaptation; and understanding adaptation throughout a building life cycle. Models focusing on existing building evaluation are further in development and validation than the other model types; as such, they are more suitable for use by practitioners. Another finding is that modeling of adaptability in buildings is still in its nascent stage and that data-driven quantitative modeling is a prime area for future research.
This paper is the first comprehensive review of models and tools for evaluating adaptability. Other works have evaluated the topic of adaptability more broadly, but this is the first paper to systematically characterize existing models and tools. Based on the review future, research topics are recommended.
The authors of this paper were supported by a grant (No. 1553565) from the National Science Foundation (NSF) in the USA titled Quantifying the Adaptability of Building Structures, Envelopes, and Foundations. Dr Nashieli Mercano from Clemson University Libraries is acknowledged for her assistance in compiling resources for this review.
Rockow, Z., Ross, B. and Black, A. (2019), "Review of methods for evaluating adaptability of buildings", International Journal of Building Pathology and Adaptation, Vol. 37 No. 3, pp. 273-287. https://doi.org/10.1108/IJBPA-01-2018-0013Download as .RIS
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