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Predicting the spatial distribution of gambling vulnerability: An application of gravity modeling using ABS Mesh Blocks

dc.contributor.authorDoran, Bruce
dc.contributor.authorYoung, Martin
dc.date.accessioned2015-12-10T22:38:38Z
dc.date.issued2010
dc.date.updated2016-02-24T10:50:35Z
dc.description.abstractTo date, a method for the cost-effective prediction of venue catchments, and hence the spatial distribution of EGM harm, has not been available at the local level. As a first step in developing such a method, we explore the utility of a gravity modeling approach to predict the spatial distribution of venue catchments in a metropolitan region of the Northern Territory, Australia. Key inputs for the model presented include existing venue and recently released ABS Mesh Block data. We subsequently perform a combinatory analysis that integrates the predicted venue catchments with an Australian Bureau of Statistics (ABS) measure of social disadvantage to generate a gambling vulnerability surface. The advantages of this approach are that it allows visualization of catchments for effective communication, is based upon existing and current data that is available publicly through the ABS making it cost-effective, and provides a fine-grained local-level assessment of gambling vulnerability for applied policy purposes. Crown
dc.identifier.issn0143-6228
dc.identifier.urihttp://hdl.handle.net/1885/56818
dc.publisherElsevier
dc.sourceApplied Geography
dc.subjectKeywords: gambling; gravity; metropolitan area; modeling; numerical method; prediction; spatial distribution; visualization; Australasia; Australia; Northern Territory ABS Mesh Blocks; Australia; Catchments; Gambling venues; Gravity models; Northern Territory
dc.titlePredicting the spatial distribution of gambling vulnerability: An application of gravity modeling using ABS Mesh Blocks
dc.typeJournal article
local.bibliographicCitation.lastpage152
local.bibliographicCitation.startpage141
local.contributor.affiliationDoran, Bruce, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationYoung, Martin , Charles Darwin University
local.contributor.authoruidDoran, Bruce, u9904691
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor160403 - Social and Cultural Geography
local.identifier.absfor160499 - Human Geography not elsewhere classified
local.identifier.absseo870105 - Urban Planning
local.identifier.ariespublicationU4279067xPUB376
local.identifier.citationvolume30
local.identifier.doi10.1016/j.apgeog.2009.04.002
local.identifier.scopusID2-s2.0-70649115675
local.identifier.thomsonID000273146100011
local.type.statusPublished Version

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