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Predicting the spatial distribution of gambling harm in remote contexts



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8 November 2010

The authors have recently developed a method for predicting gambling venue catchments using a GIS-based application of gravity modelling. When combined with the socioeconomic status of local areas, this approach has enabled us to predict the spatial distribution of gambling-related harm at a range of spatial scales. However, the accuracy of these models has to date remained untested. In this talk we will present our progress on an Australian Research Council Linkages grant (LP0990584) that is designed to calibrate, or ‘ground-truth’, our predictive models. Specifically, we will present the methods we have been trialling, including geo-coded household surveys and cognitive mapping, designed to measure the remote area catchments of gambling venues. We discuss the utility of adjusted models in terms of their applicability to regulation and licensing of gambling venues in remote contexts.

Dr Martin Young (CDU) and Dr Bruce Doran (ANU)