Sustainability has been an important topic of study for several decades; however, its importance has escalated with the signing of the Paris Agreement. One issue that has always hindered implementing sustainability research in practice has been the difficulty in measuring performance. While methods such as life-cycle assessment are available to enable a comparison with alternatives, sustainable performance cannot be related to larger environmental goals. Additionally, such methods often omit uncertainty considerations. The proposed research herein provides foundational measurement science and metrics to bridge the gap between the theories of sustainability and the application. The metrics enable tracking of measurable progress in all aspects of sustainability within a risk-based framework.
This dissertation opens by reviewing and analyzing the literature on sustainability definitions and existing metrics in order to determine the current state of the practice, and to inform the development of the proposed metrics. Next, in order to demonstrate the capacity of risk-based approaches in measuring sustainability performance, a methodology is proposed to calculate the probability of a structure or product meeting sustainability requirements.
Last, the methodology is validated using the National Institute of Standards and Technology’s Building Industry Reporting and Design for Sustainability. The validation procedure demonstrated that the methodology was capable of reproducing results from a well-vetted database. The proposed methodology serves as the first step in a “sustainability reliability” metric that is practical, accurate and comprehensive in its coverage.
|Advisor:||Ayyub, Bilal M.|
|Commitee:||Herrmann, Jeffrey, Kearney, Michael, Modarres, Mohammad, Sandborn, Peter|
|School:||University of Maryland, College Park|
|School Location:||United States -- Maryland|
|Source:||DAI-A 77/09(E), Dissertation Abstracts International|
|Subjects:||Industrial engineering, Sustainability|
|Keywords:||Risk modeling, Sustainability, Uncertainty|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be