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Estimating gambling venue catchments for impact assessment using a calibrated gravity model

Markham, Francis, Doran, Bruce and Young, Martin (2014). Estimating gambling venue catchments for impact assessment using a calibrated gravity model. International Journal of Geographical Information Science,28(2):326-342.

Document type: Journal Article
Citation counts: Altmetric Score Altmetric Score is 11
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IRMA ID 75039815xPUB283
Title Estimating gambling venue catchments for impact assessment using a calibrated gravity model
Author Markham, Francis
Doran, Bruce
Young, Martin
Journal Name International Journal of Geographical Information Science
Publication Date 2014
Volume Number 28
Issue Number 2
ISSN 1365-8816   (check CDU catalogue open catalogue search in new window)
Scopus ID 2-s2.0-84888049950
Start Page 326
End Page 342
Total Pages 17
Place of Publication United Kingdom
Publisher Taylor & Francis
HERDC Category C1 - Journal Article (DIISR)
Abstract Gambling using electronic gaming machines (EGMs) has emerged as a significant public health issue. While social impact assessments are required prior to the granting of new gaming machine licenses in Australia, there are a few established techniques for estimating the spatial distribution of a venue’s clientele. To this end, we calibrated a Huff model of gambling venue catchments based on a geocoded postal survey (n = 7040). We investigated the impact of different venue attractiveness measures, distance measures, distance decay functions, levels of spatial aggregation and venue types on model fit and results. We then compared model estimates for different behavioural subgroups. Our calibrated spatial model is a significant improvement on previously published models, increasing R2 from 0.23 to 0.64. Venue catchments differ radically in size and intensity. As different population subgroups are attracted to different venues, there is no single best index of venue attractiveness applicable to all subpopulations. The calibrated Huff model represents a useful regulatory tool for predicting the extent and composition of gambling venue catchments. It may assist in decision-making with regard to new license applications and evaluating the impact of health interventions such as mandated reductions in EGM numbers. Our calibrated parameters may be used to improve model accuracy in other jurisdictions.
Keywords electronic gaming machines
problem gambling
gravity model
gambling venues
venue catchments
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