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绿色建筑对减少建筑废弃物的影响:“大数据”与“厚数据”的三角分析。

The effects of green building on construction waste minimization: Triangulating 'big data' with 'thick data'.

机构信息

Department of Real Estate and Construction, Faculty of Architecture, Knowles Building, The University of Hong Kong, Pokfulam, Hong Kong, PR China.

Department of Real Estate and Construction, Faculty of Architecture, Knowles Building, The University of Hong Kong, Pokfulam, Hong Kong, PR China.

出版信息

Waste Manag. 2018 Sep;79:142-152. doi: 10.1016/j.wasman.2018.07.030. Epub 2018 Jul 25.

DOI:10.1016/j.wasman.2018.07.030
PMID:30343740
Abstract

In contrast with the prolific research examining the effects of green building (GB) on property value, energy saving, or indoor air quality, there has been minimal focus on GB's effects on Construction Waste Minimization (CWM), which is also an important aspect of cultivating sustainability in the built environment. To address this significant knowledge gap, this study has two progressive objectives: (1) to ascertain the empirical effects of GB on CWM and; (2) to identify and understand the causes leading to the ascertained effects. This is achieved by triangulating quantitative 'big data' obtained from government agencies with qualitative 'thick data' derived from case studies and interviews. The study found that BEAM Plus, the latest version of the Building Environmental Assessment Method developed by the Hong Kong Green Building Council (HKGBC), gave rise to a 36.19% waste reduction by weight for demolition works, but no statistically significant waste reduction for foundation or building works. It is because CWM, the basis for a demolition project to obtain GB credits, makes up only one of many ways for foundation or building works to earn credits, e.g., site aspects, lighting. In any case, CWM measures typically prove costlier means of acquiring credit, further causing developers to pay less attention to CWM in their GB tactics. The study's results, i.e., CWM in GB significantly influences demolition, but only marginally for foundation and building works, provide useful scientific evidence to inform GB councils and other responsible bodies and encourage continuous improvement in GB practices. While the study in general sheds light on how the triangulation of big, empirical data with conventional, qualitative data, e.g., interviews with GB professionals, helps to better understand the subject of the investigation, i.e., the effects of GB on CWM.

摘要

与大量研究绿色建筑(GB)对物业价值、节能或室内空气质量的影响相比,对 GB 对建筑废物最小化(CWM)的影响关注甚少,而这也是在建筑环境中培养可持续性的一个重要方面。为了解决这一重大知识差距,本研究有两个渐进的目标:(1)确定 GB 对 CWM 的实际影响;(2)确定并理解导致确定影响的原因。这是通过将政府机构获得的定量“大数据”与案例研究和访谈得出的定性“厚数据”三角测量来实现的。研究发现,香港绿色建筑议会(HKGBC)开发的最新版本建筑环境评估方法(BEAM Plus)使拆除工程的废物重量减少了 36.19%,但基础工程或建筑工程的废物没有明显减少。这是因为 CWM 是拆除项目获得 GB 积分的基础,但仅占基础工程或建筑工程获得积分的多种方式之一,例如场地方面、照明。无论如何,CWM 措施通常是获得信用的成本更高的手段,这进一步导致开发商在其 GB 策略中不太关注 CWM。本研究的结果,即 GB 中的 CWM 显著影响拆除工程,但仅对基础和建筑工程产生轻微影响,为 GB 委员会和其他负责机构提供了有用的科学证据,并鼓励不断改进 GB 实践。虽然该研究总体上揭示了如何将大数据与传统定性数据(例如与 GB 专业人士的访谈)三角测量,以帮助更好地理解研究主题,即 GB 对 CWM 的影响。

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