A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process
Dates
Year
2009
Citation
Kahraman, C., Kaya, İ., and Cebi, S., 2009, A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process: Energy, v. 34, iss. 10, p. 1603-1616.
Summary
Across the United States, universities are grappling with challenges associated with adopting approaches to more sustainable energy use. One approach has been to develop energy-related projects in their local, host communities. Because host communities can play a major role in the successful planning and implementation of these projects, understanding the factors relating to their support is important. Building on research that suggests that procedural fairness is one such key factor, this study examines community members’ support of six approaches a local university could implement to work towards a goal of carbon neutrality. The results of a mail survey (N=677) found that perceived fairness of campus decision makers was significantly [...]
Summary
Across the United States, universities are grappling with challenges associated with adopting approaches to more sustainable energy use. One approach has been to develop energy-related projects in their local, host communities. Because host communities can play a major role in the successful planning and implementation of these projects, understanding the factors relating to their support is important. Building on research that suggests that procedural fairness is one such key factor, this study examines community members’ support of six approaches a local university could implement to work towards a goal of carbon neutrality. The results of a mail survey (N=677) found that perceived fairness of campus decision makers was significantly related to community support for the proposed approaches; however, beliefs about the efficacy of the different approaches to address challenges associated with climate change had the strongest relationship with support. The results also suggest that residents prefer changes in the energy infrastructure, such as the development of wind power, over the purchase of carbon offsets. We discuss the results in terms of actions that universities may take to foster community engagement in decision-making for university-sponsored sustainable energy projects.
