TY - JOUR
T1 - Modelling gambling time and economic assignments to weekly trip behaviour to gambling venues
AU - Baker, R. G.V.
AU - Marshall, D. C.
PY - 2005/12
Y1 - 2005/12
N2 - 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.
AB - 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.
KW - Gambling behaviour
KW - Gambling involvement
KW - Memoryless distributions
KW - Time-economic modelling
KW - Venue hours
UR - http://www.scopus.com/inward/record.url?scp=33644746357&partnerID=8YFLogxK
U2 - 10.1007/s10109-005-0003-8
DO - 10.1007/s10109-005-0003-8
M3 - Article
SN - 1435-5930
VL - 7
SP - 381
EP - 402
JO - Journal of Geographical Systems
JF - Journal of Geographical Systems
IS - 3-4
ER -