Urban quality of life is usually measured by either subjective indicators using surveys of residents' perceptions, evaluations and satisfaction with urban living or by objective indicators using secondary data and relative weights for objective indicators of the urban environment. However, rarely are subjective and objective indicators of urban quality of life related to each other. In this paper, these two types of indicators were linked using Geographical Information Systems (GIS) to both locate respondents to the B2003 Survey of Quality of Life in South East Queenslandâ nd also to gather objective indicators about their urban environment within the region with regard to services, facilities and overcrowding. Using Structural Equation Modelling (SEM), the strength of the relationships between these objective indicators and subjective indicators was examined. The results show that relationships between objective and subjective indicators of urban QOL can be weak, and suggests care should be taken when making inferences about improvements in subjective urban QOL based on improvements in objective urban QOL. However, further research is needed into the links between objective and subjective indicators of urban QOL including examining other aspects of the urban environment, non-linear relationships, and moderating effects for individual differences.
Numerous theories apply to fear of crime and each are associated with different kinds of variables. Most studies use only one theory, though this study examines the relative importance of different kinds of variables across a number of theories. The study uses data from a survey of residents in Brisbane, Australia to examine the relative importance of individual attributes, neighbourhood disorder, social processes and neighbourhood structure in predicting fear of crime. Individual attributes and neighbourhood disorder were found to be important predictors of fear of crime, while social processes and neighbourhood structure were found to be far less important. The theoretical implications are that the vulnerability hypothesis and the incivilities thesis are most appropriate for investigating fear of crime, though social disorganization theory does provide conceptual support for the incivilities thesis. Although social processes are less important in predicting fear of crime than neighbourhood incivilities, they are still integrally related to fear of crime: they explain how incivilities arise, they buffer against fear of crime, and they are affected by fear of crime.
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