<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel rdf:about="http://hdl.handle.net/1842/2115">
    <title>ERA Collection:</title>
    <link>http://hdl.handle.net/1842/2115</link>
    <description />
    <items>
      <rdf:Seq>
        <rdf:li rdf:resource="http://hdl.handle.net/1842/2116" />
      </rdf:Seq>
    </items>
    <dc:date>2013-05-20T06:02:07Z</dc:date>
  </channel>
  <item rdf:about="http://hdl.handle.net/1842/2116">
    <title>Assessment for National Park Candidate Area Using Multi-Criteria Decision Analysis: A case study from the Argyll Islands and Coast</title>
    <link>http://hdl.handle.net/1842/2116</link>
    <description>Title: Assessment for National Park Candidate Area Using Multi-Criteria Decision Analysis: A case study from the Argyll Islands and Coast
Authors: Garoufalia, Christina
Abstract: This thesis outlines an assessment approach for national park designation purpose using&#xD;
Multi-Criteria Decision Analysis. The case study area is ‘Argyll Islands and Coast’&#xD;
situated in west Scotland. Four different management options are explored and six criteria&#xD;
are identified. The objectives of the analysis are ‘Ecosystem services’ and ‘Viable local&#xD;
communities’. The approach is an illustrative example of how these options can be&#xD;
compared and focuses on the viability of local communities. Scoring of the criteria is&#xD;
realised with the ‘relative preference scales’ method while weighting of the criteria is&#xD;
realised with the ‘swing’ method. The lack of quantitative data results in uncertainties&#xD;
related to scores and weights’ assignment. Moreover, due to time constraint stakeholder&#xD;
participation is not included in the MCDA process. To offset the two latter issues and&#xD;
increase the knowledge on the characteristics and activities taking place in the area, five&#xD;
interviews are carried out. The interviewees are chosen according to their background so&#xD;
that some of the major stakeholder groups are represented in the MCDA. The&#xD;
triangulation method is used to integrate the qualitative data derived from the interviews&#xD;
in the sensitivity analysis. The results indicate the need for more quantitative data to&#xD;
reduce uncertainties and for options which improve the performance on the major&#xD;
criteria.</description>
    <dc:date>2007-01-01T00:00:00Z</dc:date>
  </item>
</rdf:RDF>

