A framework to implement green adaptive reuse for existing buildings in Sri Lanka

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Intelligent Buildings International Pub Date : 2021-04-02 DOI:10.1080/17508975.2021.1906204
W. M. M. Wijesiri, K. Devapriya, P. Rathnasiri, Tharindu Lakruwan Wickremanayake Karunaratne
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引用次数: 4

Abstract

ABSTRACT Application of green adaptive reuse (GAR) is considered to be difficult and lacks the attention in the field of research. The potential of implementing GAR has become uncertain since the way of implementing specific practices is still unknown when the context is different. In Sri Lanka, building professionals are reluctant to use GAR approach due to various obstacles. Specially, due to the scarcity of land, high energy consumption and costs, most of the existing abandoned buildings in Sri Lanka are demolished despite the significant benefits of GAR of buildings. Thus, this research is aimed to develop a framework that could facilitate the implemention of GAR for existing buildings in Sri Lanka. A qualitative research approach was followed for this research with semi-structured interviews. The findings were analyzed using the content analysis method. Significant factors for the implementation of GAR approach were identified mainly under seven criteria including physical, economical, functional, technological, social, legal and political. Further, barriers and strategies for the implementation of GAR for existing buildings in Sri Lanka were revealed. Based on the findings, a framework was developed as a guidance for the implementation of GAR for existing buildings in Sri Lanka which was the key outcome of this study.
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斯里兰卡现有建筑实施绿色适应性再利用的框架
绿色适应性再利用(GAR)的应用被认为是一个难点,在研究领域缺乏重视。实施GAR的潜力已经变得不确定,因为当环境不同时,实施具体实践的方式仍然未知。在斯里兰卡,由于各种障碍,建筑专业人士不愿使用GAR方法。特别是,由于土地稀缺,能源消耗和成本高,斯里兰卡现有的废弃建筑大多被拆除,尽管建筑GAR的效益显著。因此,本研究旨在开发一个框架,可以促进斯里兰卡现有建筑GAR的实施。本研究采用半结构化访谈的定性研究方法。采用内容分析法对调查结果进行分析。主要从物质、经济、功能、技术、社会、法律和政治七个方面确定了实施GAR方法的重要因素。此外,还揭示了斯里兰卡现有建筑实施GAR的障碍和策略。根据研究结果,制定了一个框架,作为斯里兰卡现有建筑GAR实施的指导,这是本研究的主要成果。
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来源期刊
Intelligent Buildings International
Intelligent Buildings International CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
4.60
自引率
4.30%
发文量
8
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