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Geographical Information Systems (GIS) and their role in sustainable planning : a case study from a Local Government Area (LGA) in Australia

Versace, Vincent L., Monk, Jacquomo, Salzman, Scott and Laurenson, Laurie 2011, Geographical Information Systems (GIS) and their role in sustainable planning : a case study from a Local Government Area (LGA) in Australia, in ACIS 2011 : Proceedings of the 22nd Australasian Conference on Information Systems : Identifying the Information Systems Discipline, AIS, [Sydney, N. S. W.], pp. 1-9.

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Title Geographical Information Systems (GIS) and their role in sustainable planning : a case study from a Local Government Area (LGA) in Australia
Author(s) Versace, Vincent L.
Monk, Jacquomo
Salzman, Scott
Laurenson, Laurie
Conference name Australasian Conference on Information Systems (22nd : 2011 : Sydney, N. S. W.)
Conference location Sydney, N. S. W.
Conference dates 29 Nov.-2 Dec. 2011
Title of proceedings ACIS 2011 : Proceedings of the 22nd Australasian Conference on Information Systems : Identifying the Information Systems Discipline
Editor(s) [Unknown]
Publication date 2011
Conference series Australasian Conference on Information Systems
Start page 1
End page 9
Publisher AIS
Place of publication [Sydney, N. S. W.]
Keyword(s) planning
sustainability
tourism
NRM
policy
Summary A case study is used to demonstrate the application of Geographical Information Systems (GIS) to inform sustainable development. The suitability of the landscape to support tourism accommodation in a Local Government Area (LGA) is modelled by integrating existing datasets, including conservation areas, residential zones, major roads and known locations of tourism operators into a logistic regression framework. By using a data-driven approach an indication of the relative importance of each explanatory variable can be accounted for, therefore informing planners of the importance of different assets. In a region where tourism is reliant upon natural features, this use of information systems in conjunction with quantitative statistical modelling can value-add to existing datasets. The provision of this kind of knowledge is important as it would otherwise not factor into the decision-making process had the datasets been considered independently of each other – a concept that applies to both the public and private sectors.
Notes Reproduced with the kind permission of the copyright owner.
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
HERDC collection year 2011
Copyright notice ©2011, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30042269

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