Journal article
Integrating planning support systems and multicriteria evaluation for energy facility site suitability evaluation
URISA Journal, Vol.26(1), pp.13-24
2015
Abstract
Suitability modeling seeks to identify the continuum of best or worst sites for a facility, development, activity, or particular use based on site characteristics and preference assessments. The purpose of this paper is to assess the quality of a planning support system-based suitability model through presentation of an energy infrastructure development case study. The presentation of the case includes the suitability model and a contrasting approach, the Kepner-Tregoe problem solving and decision analysis framework. The suitability model is presented within the context of the methods, assumptions and best practices of multicriteria evaluation and weighted linear combination modeling. The primary finding of this research is the CommunityViz planning support system suitability model is a valid tool for spatial multicriteria evaluation and demonstrably effective at producing trusted outcomes. The contributions of this paper are an evaluation of the scientific rigor of the CommunityViz suitability model as well as discussion of planning support system -based interactive and iterative model development within a multicriteria evaluation process.
Details
- Title
- Integrating planning support systems and multicriteria evaluation for energy facility site suitability evaluation
- Authors
- Scott Lieske (Author) - University of the Sunshine Coast - Faculty of Arts and BusinessJ D Hamerlinck (Author) - University of Wyoming, United States
- Publication details
- URISA Journal, Vol.26(1), pp.13-24
- Publisher
- Urban and Regional Information Systems Association
- Date published
- 2015
- ISSN
- 1045-8077
- Copyright note
- Copyright © 2015 by the Urban and Regional Information Systems Association. Reproduced here in accordance with the publisher's copyright policy.
- Organisation Unit
- School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland; Sustainability Research Cluster
- Language
- English
- Record Identifier
- 99448870802621
- Output Type
- Journal article
Metrics
1109 File views/ downloads
1548 Record Views