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

Title:
Measuring the Transition to Sustainability: From Simple Diagnosis to Data-driven Interventions
Authors:
Cook, Thomas B.; Shammin, Md Rumi; Frantz, Cynthia M. ( 0000-0001-9303-3052 ) ; Petersen, John E.
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.
Citation:
Cook, Thomas B., Md Rumi Shammin, Cynthia M. Frantz, and John E. Petersen. 2014. "Measuring the Transition to Sustainability: From Simple Diagnosis to Data-driven Interventions." Solutions 5(1): 70-78.
Publisher:
Solutions
DATE ISSUED:
2014-01
Department:
Environmental Studies
Type:
Article
Additional Links:
http://www.thesolutionsjournal.org/node/237153
PERMANENT LINK:
http://hdl.handle.net/11282/336184

Full metadata record

DC FieldValue Language
dc.contributor.authorCook, Thomas B.en
dc.contributor.authorShammin, Md Rumien
dc.contributor.authorFrantz, Cynthia M.en
dc.contributor.authorPetersen, John E.en
dc.date.accessioned2014-11-26T16:30:46Zen
dc.date.available2014-11-26T16:30:46Zen
dc.date.issued2014-01en
dc.identifier.citationCook, Thomas B., Md Rumi Shammin, Cynthia M. Frantz, and John E. Petersen. 2014. "Measuring the Transition to Sustainability: From Simple Diagnosis to Data-driven Interventions." Solutions 5(1): 70-78.en
dc.identifier.issn2154-0896en
dc.identifier.urihttp://hdl.handle.net/11282/336184en
dc.description.abstractThe 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.en
dc.language.isoen_USen
dc.publisherSolutionsen
dc.relation.urlhttp://www.thesolutionsjournal.org/node/237153en_US
dc.subject.departmentEnvironmental Studiesen_US
dc.titleMeasuring the Transition to Sustainability: From Simple Diagnosis to Data-driven Interventionsen_US
dc.typeArticleen
dc.identifier.journalSolutionsen
dc.identifier.volume5en_US
dc.identifier.issue1en_US
dc.identifier.startpage70en_US
All Items in The Five Colleges of Ohio Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.