2017
DOI: 10.1017/pls.2017.6
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Communities ready for takeoff

Abstract: Although much of the social science literature supports the importance of community assets for success in many policy areas, these assets are often overlooked when selecting communities for new infrastructure facilities. Extensive collaboration is crucial for the success of environmental and economic projects, yet it often is not adequately addressed when making siting decisions for new projects. This article develops a social asset framework that includes social, creative, and human capital to inform site-sel… Show more

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Cited by 8 publications
(16 citation statements)
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“…DSTs have been frequently used for facility siting, with much literature in biofuels applying various models to aid biorefinery site selection (see Stewart and Lambert 2011;Zhang et al, 2011;Perimenis et al, 2011;Martinkus et al, 2017;Martinkus et al, 2018;Ghose et al, 2019). A noted issue in the biofuel site selection literature is how to effectively combine social, economic, and environmental criteria in DSTs as many social criteria are qualitative in nature and thus difficult to adapt to quantitative models (Martinkus et al, 2014;Martinkus et al, 2017;Rijkhoff et al, 2017;Martinkus et al, 2019). Noting several limitations in how social criteria were initially incorporated in past studies, Rijkhoff et al (2017) used Emery and Flora's Community Capitals Framework (CCF) to identify community assets necessary for successful development and implementation of complex projects and developed the Community Assets and Attributes Model (CAAM).…”
Section: Literature Reviewmentioning
confidence: 99%
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“…DSTs have been frequently used for facility siting, with much literature in biofuels applying various models to aid biorefinery site selection (see Stewart and Lambert 2011;Zhang et al, 2011;Perimenis et al, 2011;Martinkus et al, 2017;Martinkus et al, 2018;Ghose et al, 2019). A noted issue in the biofuel site selection literature is how to effectively combine social, economic, and environmental criteria in DSTs as many social criteria are qualitative in nature and thus difficult to adapt to quantitative models (Martinkus et al, 2014;Martinkus et al, 2017;Rijkhoff et al, 2017;Martinkus et al, 2019). Noting several limitations in how social criteria were initially incorporated in past studies, Rijkhoff et al (2017) used Emery and Flora's Community Capitals Framework (CCF) to identify community assets necessary for successful development and implementation of complex projects and developed the Community Assets and Attributes Model (CAAM).…”
Section: Literature Reviewmentioning
confidence: 99%
“…A noted issue in the biofuel site selection literature is how to effectively combine social, economic, and environmental criteria in DSTs as many social criteria are qualitative in nature and thus difficult to adapt to quantitative models (Martinkus et al, 2014;Martinkus et al, 2017;Rijkhoff et al, 2017;Martinkus et al, 2019). Noting several limitations in how social criteria were initially incorporated in past studies, Rijkhoff et al (2017) used Emery and Flora's Community Capitals Framework (CCF) to identify community assets necessary for successful development and implementation of complex projects and developed the Community Assets and Attributes Model (CAAM). The CAAM quantified three social assets-social, cultural, and human capitals-to include in U.S.based decision support tools.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…While livelihoods and well-being are often conceptualized as outcomes of the FEW nexus, CCF explicitly frames capitals as both drivers and outcomes. For example, Schirmer et al (2015) operationalize the capitals and interpret the capitals as determinants of human well-being, while Rijkhoff et al (2017) and Martinkus et al (2017) utilize the CCF to inform decisions about site selection for bio-fuel development. Donoghue and Sturtevant (2007) describe how various projects have used community capitals indicators to estimate community capacity and resilience in towns and cities of the western United States (for related work see Haynes et al, 1996;Harris et al, 2000).…”
Section: Metricsmentioning
confidence: 99%