Dominique de Andrade1,2, Cheneal Puljević3,4, Peter G Miller1,5,6, Nicholas Taylor1, Ashlee Curtis1, Jason Ferris3. 1. School of Psychology, Deakin University, Geelong, Australia. 2. School of Psychology, University of Queensland, Brisbane, Australia. 3. Centre for Health Services Research, The University of Queensland, Brisbane, Australia. 4. School of Public Health, The University of Queensland, Brisbane, Australia. 5. National Drug Research Institute, Curtin University, Perth, Australia. 6. Menzies School of Health Research, Darwin, Australia.
Abstract
INTRODUCTION AND AIMS: Networked identification (ID) scanner technology is a novel approach to collecting licensed venue attendance data, and potentially reducing alcohol-related violence by detecting banned patrons. Using ID scanner data from three Queensland entertainment precincts (Safe Night Precincts; SNPs), we aim to: (i) examine patterns in patron attendance to licensed venues; and (ii) examine patterns in the detection of banned patrons. DESIGN AND METHODS: We conducted descriptive analyses of licensed venue patron entries between 1 October 2017 and 30 June 2019. Scans during high alcohol hours (Friday and Saturday, 20:00-06:00) were stratified by patron sex and key age groups. We described scans associated with a detected banning notice issued by venues, courts or police across all Queensland SNPs and three key SNPs. RESULTS: ID scanner data showed similar attendance trends across SNPs. The peak licensed venue entry hour was 23:00-23:59, with Saturday being the peak day. Approximately two-thirds of scanned patrons were male, and patrons had a mean age of 25.8 years (SD = 8.80). Scanners detected 48 657 attempted entries by banned patrons, with the majority of attempts made by males (85%) aged 18-24 years (61%). DISCUSSION AND CONCLUSIONS: This study adds to the limited evidence on the use of ID scanners in the night-time economy and highlights the feasibility of ID scanner use in this setting. Results demonstrate the value of scanners to passively collect data on patrons, identify banned patrons and assist in the enforcement of bans.
INTRODUCTION AND AIMS: Networked identification (ID) scanner technology is a novel approach to collecting licensed venue attendance data, and potentially reducing alcohol-related violence by detecting banned patrons. Using ID scanner data from three Queensland entertainment precincts (Safe Night Precincts; SNPs), we aim to: (i) examine patterns in patron attendance to licensed venues; and (ii) examine patterns in the detection of banned patrons. DESIGN AND METHODS: We conducted descriptive analyses of licensed venue patron entries between 1 October 2017 and 30 June 2019. Scans during high alcohol hours (Friday and Saturday, 20:00-06:00) were stratified by patron sex and key age groups. We described scans associated with a detected banning notice issued by venues, courts or police across all Queensland SNPs and three key SNPs. RESULTS: ID scanner data showed similar attendance trends across SNPs. The peak licensed venue entry hour was 23:00-23:59, with Saturday being the peak day. Approximately two-thirds of scanned patrons were male, and patrons had a mean age of 25.8 years (SD = 8.80). Scanners detected 48 657 attempted entries by banned patrons, with the majority of attempts made by males (85%) aged 18-24 years (61%). DISCUSSION AND CONCLUSIONS: This study adds to the limited evidence on the use of ID scanners in the night-time economy and highlights the feasibility of ID scanner use in this setting. Results demonstrate the value of scanners to passively collect data on patrons, identify banned patrons and assist in the enforcement of bans.