Using GIS to Derive Region-Wide Patterns of Quality of Urban Life Dimensions: Illustrated with Data from the Brisbane-SEQ Region

  • Prem ChhetriEmail author
  • Robert Stimson
  • John Western
Part of the Social Indicators Research Series book series (SINS, volume 45)


The chapter demonstrates how statistical analysis and GIS tools are used to derive spatially generalized patterns of subjective assessments of aspects of QOL dimensions. Data collected in the 2003 Brisbane-Southeast Queensland (SEQ) QOL survey are used in the analysis. One approach demonstrates the use of an “ordered weighted average” nonlinear aggregation technique to derive generalized patterns of subjective assessments of QOUL dimensions across subregions. Another approach demonstrates how patterns of underlying dimensions of attractiveness of neighborhood attributes affecting peoples’ choices in where to live may be simulated and mapped using the “neighborhood operation” function in GIS.


Geographic Information System Ordered Weighted Average Statistical Local Area Residential Location Choice Neighborhood Operation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This chapter is based on research funded by the Australian Research Council Discovery, project # DP0209146.


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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.School of Business IT and LogisticsRMIT UniversityMelbourneAustralia
  2. 2.Australian Urban Research Infrastructure Network (AURIN), Faculty of Architecture, Building and PlanningUniversity of MelbourneMelbourneAustralia
  3. 3.School of Social ScienceThe University of QueenslandBrisbaneAustralia

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