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Too close to home? The relationships between residential distance to venue and gambling outcomes

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  • Martin Young
  • Francis Markham
  • Bruce Doran

Abstract

Although gambling accessibility is generally viewed as a multidimensional construct, few studies have successfully untangled the specific role of spatial accessibility in determining gambling outcomes relative to other forms (i.e. temporal, social and psychological). In this paper, we explore the association between gambling outcomes and the distance travelled from a person's home to their most-frequented gambling venue. To this end, we conducted a geocoded mail survey of 7044 households in the Northern Territory of Australia. We employed a geographic information system to calculate the network distance from each household to all visited electronic gaming machine (EGM) venues (n = 64). Multivariate regression modelling revealed that, when adjusted for individual and neighbourhood-level characteristics, frequency of venue visitation and gambling participation were inversely related to residential distance from venue. There was no additional distance effect for problem gambling. Spatial accessibility of EGMs is an important determinant of gambling risk and should be explicitly considered by regulators.

Suggested Citation

  • Martin Young & Francis Markham & Bruce Doran, 2012. "Too close to home? The relationships between residential distance to venue and gambling outcomes," International Gambling Studies, Taylor & Francis Journals, vol. 12(2), pages 257-273, February.
    • Handle: RePEc:taf:intgms:v:12:y:2012:i:2:p:257-273
    DOI: 10.1080/14459795.2012.664159
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    Citations

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    Cited by:

    1. Barry Scholnick & Hyungsuk Byun, 2016. "Do Slot Machines Cause Bankruptcy? A Regulatory Natural Experiment with Exogenous Changes to Slot Locations," ERSA conference papers ersa16p607, European Regional Science Association.
    2. Badji, Samia & Black, Nicole & Johnston, David W., 2023. "Economic, Health and Behavioural Consequences of Greater Gambling Availability," Economic Modelling, Elsevier, vol. 123(C).
    3. Douglas M. Walker & Todd M. Nesbit, 2014. "Casino Revenue Sensitivity to Competing Casinos: A Spatial Analysis of Missouri," Growth and Change, Wiley Blackwell, vol. 45(1), pages 21-40, March.
    4. Maria Anna Donati & Silvia Cabrini & Daniela Capitanucci & Caterina Primi & Roberta Smaniotto & Maurizio Avanzi & Eleonora Quadrelli & Giovanna Bielli & Alfredo Casini & Alessandra Roaro, 2021. "Being a Gambler during the COVID-19 Pandemic: A Study with Italian Patients and the Effects of Reduced Exposition," IJERPH, MDPI, vol. 18(2), pages 1-19, January.
    5. Rimal, Retina & Shepherd, Robin-Marie & Curley, Louise Elizabeth & Sundram, Frederick, 2023. "Perspectives from gambling expert stakeholders in relation to electronic gaming machines in New Zealand," Health Policy, Elsevier, vol. 136(C).
    6. Anna Bussu & Claudio Detotto & Peter Leadbetter, 2019. "Understanding the influence of guilt, loss and self-awareness on gambling behaviour," Economics Bulletin, AccessEcon, vol. 39(1), pages 223-236.
    7. Samia Badji & Nicole Black & David W. Johnston, 2021. "Consequences of Greater Gambling Accessibility," Papers 2021-06, Centre for Health Economics, Monash University.
    8. Ethan Grumstrup & Mark W. Nichols, 2021. "Is video gambling terminal placement and spending in Illinois correlated with neighborhood characteristics?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(2), pages 273-298, October.
    9. Hyungsuk Byun & Barry Scholnick, 2017. "Spatial Commitment Devices and Addictive Goods: Evidence from the Removal of Slot Machines from Bars," Working Papers 17-34, Federal Reserve Bank of Philadelphia.
    10. Giebeler, Constanze & Rebeggiani, Luca, 2019. "Who Loves to Gamble? Socio-Economic Factors Determining Gambling Behaviour in Germany," MPRA Paper 94735, University Library of Munich, Germany.
    11. Markham, Francis & Doran, Bruce & Young, Martin, 2016. "The relationship between electronic gaming machine accessibility and police-recorded domestic violence: A spatio-temporal analysis of 654 postcodes in Victoria, Australia, 2005–2014," Social Science & Medicine, Elsevier, vol. 162(C), pages 106-114.

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