A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Sustainability Quantification and Valuation. I: Definitions, Metrics, and Valuations for Decision Making
The term sustainability has many definitions in varied contexts. The development of metrics requires an examination of these definitions and other related concepts in terms of their hierarchical and nesting relationships. An understanding of these relationships could offer a basis for introducing requirements and ultimately the adoption of working sustainability definitions for construction and manufacturing. A comparative examination of these definitions resulted in recommended general and construction-centric definitions. Sustainability definitions that meet a set of requirements offer appropriate bases for developing metrics and valuations methods. Classification of sustainability indicators follows naturally from its definition. A probabilistic quantification framework is proposed to produce a rational indicator set. Converting indicators to a probability of meeting or exceeding sustainability needs incorporates uncertainty explicitly and puts the quantification method into a well-established mathematical framework. Using simulation, full statistical and probabilistic analyses are available for use on the results in characterizing the uncertainty in the results. The concept of consequences resulting from sustainability impacts establishes economic valuation. Each indicator level has a corresponding loss or gain that can be monetized into an economic consequence. A simulation method is developed that allows for uncertainty characterization under a wide range of dependency assumptions. Indicator levels are simulated and the probability of meeting or exceeding sustainability needs is calculated along with corresponding consequence values. Then, a final need probability and consequence value for the entire structure or manufacturing process is obtained. The complete result can be analyzed using any statistical or economic techniques desired including benefit-cost, trade-offs, directional cosines, or sensitivity analysis.
Sustainability Quantification and Valuation. I: Definitions, Metrics, and Valuations for Decision Making
The term sustainability has many definitions in varied contexts. The development of metrics requires an examination of these definitions and other related concepts in terms of their hierarchical and nesting relationships. An understanding of these relationships could offer a basis for introducing requirements and ultimately the adoption of working sustainability definitions for construction and manufacturing. A comparative examination of these definitions resulted in recommended general and construction-centric definitions. Sustainability definitions that meet a set of requirements offer appropriate bases for developing metrics and valuations methods. Classification of sustainability indicators follows naturally from its definition. A probabilistic quantification framework is proposed to produce a rational indicator set. Converting indicators to a probability of meeting or exceeding sustainability needs incorporates uncertainty explicitly and puts the quantification method into a well-established mathematical framework. Using simulation, full statistical and probabilistic analyses are available for use on the results in characterizing the uncertainty in the results. The concept of consequences resulting from sustainability impacts establishes economic valuation. Each indicator level has a corresponding loss or gain that can be monetized into an economic consequence. A simulation method is developed that allows for uncertainty characterization under a wide range of dependency assumptions. Indicator levels are simulated and the probability of meeting or exceeding sustainability needs is calculated along with corresponding consequence values. Then, a final need probability and consequence value for the entire structure or manufacturing process is obtained. The complete result can be analyzed using any statistical or economic techniques desired including benefit-cost, trade-offs, directional cosines, or sensitivity analysis.
Sustainability Quantification and Valuation. I: Definitions, Metrics, and Valuations for Decision Making
Webb, David (author) / Ayyub, Bilal M. (author)
2016-11-16
Article (Journal)
Electronic Resource
Unknown
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