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Operationalizing sustainable residential development (Florida).

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Operationalizing sustainable residential development (Florida).
作者:	Grosskopf, Kevin Roy.
面頁冊數:	221 p.
附註:	Chair: Charles J. Kibert.
附註:	Source: Dissertation Abstracts International, Volume: 60-02, Section: A, page: 0268.
Contained By:	Dissertation Abstracts International60-02A.
標題:	Architecture.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9919572
ISBN:	0599186798

Operationalizing sustainable residential development (Florida).
Grosskopf, Kevin Roy.

Operationalizing sustainable residential development (Florida). [electronic resource] - 221 p.

Chair: Charles J. Kibert.

Thesis (Ph.D.)--University of Florida, 1998.

Recognizing the linkages between the natural, social, land economic systems in qualitative terms, <italic>life-cycle cost models</italic> assessing the energy and water resource minimization performance and subsequent economic return on investment (ROI) of more than fifty interdependent sustainable alternatives were developed. A range of ROI variance for each alternative was calculated by manipulating projected energy and watergy interest and discount rates. The range of life-cycle ROIs for each alternative was then compared to <italic>market survey assessments</italic>, which modeled the consumer minimal attractive rate of return (MARR). Data sets were generated to compare and contrast the market elasticity for sustainable alternatives, categorized by capital cost recovery (break-even point) at 10, 15, 20 and 25 year intervals and ordered within each category by savings-to-investment ratio (SIR). Finally, a decision analysis matrix was then constructed using the data sets from the life-cycle cost models and market survey assessments to select sustainable alternatives based on regional economic, climatic and demographic criteria. The intent of the decision matrix was to satisfy an industry need for a simple “score-card” that would allow home building professionals to efficiently select marketable alternatives without cost intensive value-engineering analysis.

ISBN: 0599186798Subjects--Topical Terms:

208437
Architecture.

Operationalizing sustainable residential development (Florida).
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520 # $a Recognizing the linkages between the natural, social, land economic systems in qualitative terms, <italic>life-cycle cost models</italic> assessing the energy and water resource minimization performance and subsequent economic return on investment (ROI) of more than fifty interdependent sustainable alternatives were developed. A range of ROI variance for each alternative was calculated by manipulating projected energy and watergy interest and discount rates. The range of life-cycle ROIs for each alternative was then compared to <italic>market survey assessments</italic>, which modeled the consumer minimal attractive rate of return (MARR). Data sets were generated to compare and contrast the market elasticity for sustainable alternatives, categorized by capital cost recovery (break-even point) at 10, 15, 20 and 25 year intervals and ordered within each category by savings-to-investment ratio (SIR). Finally, a decision analysis matrix was then constructed using the data sets from the life-cycle cost models and market survey assessments to select sustainable alternatives based on regional economic, climatic and demographic criteria. The intent of the decision matrix was to satisfy an industry need for a simple “score-card” that would allow home building professionals to efficiently select marketable alternatives without cost intensive value-engineering analysis.
520 # $a The population chosen for this study is owner-occupants of new single-family detached housing constructed since 1990 in Jacksonville, Orlando and Miami, representing “high-growth” regions of north, central, and south Florida. The immediate metropolitan areas of Jacksonville, Orlando and Miami represent 44% of the State's 14.5 million residents and more than 50% of its owner-occupants. Florida is the 4<super>th</super> most populated state with the 2<super>nd</super> highest net growth rate in a nation that represents 5% of the world's population but 20% or more of its resource consumption.<super> 29,41</super> Although the opinions and recommendations of this dissertation can be applied to similar high-growth regions of the developed world, its true intent is to provide the methodology necessary to replicate this study in areas that have experienced comparable population stresses.
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