Modelling gambling time and economic assignments to weekly trip behaviour to gambling venues?

The study of gambling and its socio-economic structures should be an area of growing interest to a society-relevant geography. In Australia, electronic gaming machines (EGMs) have dominated recent gambling industry growth. As EGMs have diffused through the urban hierarchy, there is a growing recognition that EGM distribution often correlates with levels of socio-economic status. Marshall and Baker (2002) showed that a similar EGM socio-economic assignment model evolved in the capital cities of Sydney and Melbourne, Australia, even though these cities have substantially different historical and legislative EGM environments. This paper looks at a related space–time model in the context of trip-making to gaming venues, relative to an Index of Economic Resources from the Australian Bureau of Statistics. A simulation of the model predicts different types of gambling behaviour. It also shows that venue hours can affect time–economic trip behaviour. The model is then applied to EGM gambling data gathered in an urban hierarchy on the north coast of New South Wales, Australia. The results define a gaussian-type low involvement ‘recreational random’ gambling for patrons, whereas for more involved gamblers (in terms of time spent gambling), there are discrete behavioural periods over the week for a wider economic cohort. This leads to the possibility of a spectrum of time–economic EGM gambling assignments for participating households in metropolitan and non-metropolitan areas.