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Producing a GIS based multiple criteria analysis tool for regional sustainability assessment: the problem of weighting

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conference contribution
posted on 2007-01-01, 00:00 authored by Michelle Graymore, Anneke Richards, Anne WallisAnne Wallis
Decision support tools will be useful in guiding regions to sustainability. These need to be simple but effective at identifying, for regional managers, areas most in need of initiatives to progress sustainability. Multiple criteria analysis (MCA) is often used as a decision support tool for a wide range of applications. This method allows many criteria to be considered at one time. It does this by giving a ranking of possible options based on how closely each option meets the criteria. Thus, it is suited to the assessment of regional sustainability as it can consider a number of indicators simultaneously and demonstrates how sustainability can vary at small scales across the region. Coupling MCA with GIS to produce maps, allows this analysis to become visual giving the manager a picture of sustainability across the region. To do this each indicator is standardised to a common scale so that it can be compared to other indicators. A weighting is then applied to each indicator to calculate weighted summation for each area in the region. This paper argues that this is the critical step in developing a useful decision support tool. A study being conducted in south west Victoria demonstrates that the weights chosen can have a dramatic impact on the results of the sustainability assessment. It is therefore imperative that careful consideration be given to determining indicator weights in a way that is objective and fully considers the impact of that indicator on regional sustainability.

History

Pagination

1 - 21

Location

Noosa Lakes, Qld.

Open access

  • Yes

Start date

2007-07-03

End date

2007-07-06

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2007, ANZSEE

Title of proceedings

2007 ANZEE conference: re-inventing sustainability: a climate for change

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