A Spatial Clustering Approach Analyzing Types of Objective Quality of Urban Life Using Spatial Data for Survey Respondents: South East Queensland, Australia

Abstract

This chapter shows how an integrated approach using spatial objective data and subjective survey data can be used to develop a statistical model analyzing objective quality of urban life {(QOUL).} Ten broad dimensions of the urban environment are identified, four relating to the physical environment and six to the social environment. The analysis uses spatial clustering of objective {QOUL} for the {Brisbane-South} East Queensland {(SEQ)} region in Australia to identify different types of {QOUL} dimensions associated with the residential location of respondents to a 2003 {SEQQOL} survey. {GIS} tools are used to integrate the survey data with spatial objective data, and cluster analysis is used to derive the typologies of objective {QOUL.}