Generating meaningful and easy-to-interpret sustainability data to support decision making: a method and a case study
Resumo
Recently many corporations, organizations, and governmental agencies are putting a
greater emphasis on evaluating sustainability of projects and products to help guide
implementation and production. This paper and presentation presents a method to
generate and present sustainability data from Life Cycle Assessments (LCAs) that are
meaningful, easy-to-interpret and simplify decision making. Three key outputs of the
method include (1) a sustainability ranking table that can easily be incorporated into
decision making frameworks, (2) a sustainability probability distribution to examine
uncertainty, and (3) a contribution network to analyze and optimize sustainability. This
paper and presentation showcases the method by applying it to evaluate the sustainability
of remedial options for a coal tar contaminated site.