3.8 Review

Review of methods for evaluating adaptability of buildings

出版社

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/IJBPA-01-2018-0013

关键词

Adaptation; Resilience; Framework; Models; Reuse; Demolition

资金

  1. National Science Foundation (NSF) in the USA [1553565]
  2. Div Of Civil, Mechanical, & Manufact Inn
  3. Directorate For Engineering [1553565] Funding Source: National Science Foundation

向作者/读者索取更多资源

Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据