Title

Measuring the Transition to Sustainability: From Simple Diagnosis to Data-driven Interventions

Abstract

The development of metrics based on quality data that track the state of physical, economic, and social systems— particularly in response to interventions designed to increase sustainability—is a necessary (though not sufficient) condition for intelligent decision making. Thus far, efforts to measure progress towards sustainability goals have focused at geographical and temporal scales that are not always suitable for quantifying community-level processes or assessing the efficacy of community-level interventions. Furthermore, they typically emphasize economic and biophysical attributes and fail to adequately capture critical social dimensions that may drive the other processes. We report here on initial efforts to develop and validate community-level sustainability metrics that emphasize the crucial role of social factors in driving the transition to sustainability.

Publisher

Solutions

Publication Date

1-1-2014

Publication Title

Solutions

Department

Psychology

Additional Department

Environmental Studies

Document Type

Article

Notes

Record for C. Frantz. Additional records for M. Shammin: https://digitalcommons.oberlin.edu/faculty_schol/2628/; J. Petersen: https://digitalcommons.oberlin.edu/faculty_schol/3760/

Language

English

Format

text

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