Sangam: A Confluence of Knowledge Streams

A Framework for Integrating Value and Uncertainty in the Sustainable Options Analysis in Real Estate Investment

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dc.contributor Architecture and Design Research
dc.contributor Jones, James R.
dc.contributor Muldavin, Scott R.
dc.contributor Auchey, Flynn L.
dc.contributor Grant, Elizabeth J.
dc.contributor Pearce, Annie R.
dc.creator Bozorgi, Alireza
dc.date 2014-03-14T20:07:53Z
dc.date 2014-03-14T20:07:53Z
dc.date 2012-02-27
dc.date 2012-02-29
dc.date 2012-04-10
dc.date 2012-04-10
dc.date.accessioned 2023-02-28T18:22:01Z
dc.date.available 2023-02-28T18:22:01Z
dc.identifier etd-02292012-140834
dc.identifier http://hdl.handle.net/10919/26333
dc.identifier http://scholar.lib.vt.edu/theses/available/etd-02292012-140834/
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/269772
dc.description Real estate professionals, such as investors, owner-occupants, and lenders who are involved in the investment decision-making process are increasingly interested in sustainability and energy efficiency investment. However, current tools and techniques, both technical and financial, typically used for assessing sustainability on their own are unable to provide comprehensive and reliable financial information required for making high-quality investment decisions. Sustainability investment often includes non-cost benefits, value implications, as well as substantial risk and uncertainty that current methods do not simultaneously incorporate in their assessment process. Through a combined quantitative and qualitative approach, this research creates a new systematic assessment process to consider both cost and non-cost savings and therefore the true financial performance of a set of sustainable options in the context of value and risk, while explicitly deriving and including various uncertainties inherent in the process. The framework integrates assessment tools of technical decision-makers with those of investment decision-makers into a single platform to improve the quality of financial performance projections, and therefore, investment decisions concerning sustainable options in real estate. A case study is then conducted to test and demonstrate the numeric application of the proposed framework in the context of a non-green office building. The case study presents how to connect the technical outcomes to financial inputs, present the information, and estimate the true financial performance of a green retrofit option, where incremental value and uncertainty have been modeled and included. Three levels of financial analysis are performed to estimate the distribution of financial outcomes including: 1) Cost-based level-1: only energy related costs savings were considered; 2) Cost-based level-2: the non-energy cost savings, including heath and productivity, were also considered; and 3) Value-based level: the value implications of the green retrofit option were considered in addition to items in level 2. As a result of applying the proposed framework when evaluating sustainability investment options, many investment opportunities that were otherwise ignored may be realized, and therefore, the breadth and depth of sustainability investment in real estate will increase.
dc.description Ph. D.
dc.format application/pdf
dc.publisher Virginia Tech
dc.relation Bozorgi_A_D_2012.pdf
dc.rights In Copyright
dc.rights http://rightsstatements.org/vocab/InC/1.0/
dc.subject cost-based analysis
dc.subject financial performance
dc.subject investment decision-making
dc.subject building performance
dc.subject green retrofit options
dc.subject sustainable features
dc.subject uncertainty
dc.subject risk
dc.subject value-based analysis
dc.title A Framework for Integrating Value and Uncertainty in the Sustainable Options Analysis in Real Estate Investment
dc.type Dissertation


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