Key informant perspectives on the enforcement of police‐imposed barring notices and prohibition orders in Western Australia
Year: 2023
Type: article
Abstract: INTRODUCTION: Individuals who engage in problematic behaviours within Australian night-time entertainment precincts can be banned from entering certain locations. Bans are expected to deter recipients, and prospective recipients, from further inappropriate behaviours. The collective effect is intended to reduce crime and increase community safety within entertainment precincts. This article explores key informant perspectives regarding the enforcement of two patron banning mechanisms (police barring notices and prohibition orders) used across Western Australia. METHODS: Interviews were conducted with 54 participants, including licensees, venue staff, WA Police officers, ID scanner representatives, and Registered Training Organisations. RESULTS: Few participants opposed patron banning in principle, but most identified limitations within the current operation of both provisions. Concerns were expressed about the effectiveness of enforcement, linked to questions about the way in which banned patron information is currently shared and the practicalities of identifying recipients of bans. Suggestions included improved data-sharing protocols and the wider use of ID scanners. DISCUSSION/CONCLUSION: With improvements to operational processes-particularly more effective sharing of banned patron data, and consideration of networked ID scanners-there is clear potential to improve the enforcement and increase the effectiveness of police barring notices and prohibition orders. This study is part of a wider project which has examined the use and effects of patron banning in WA. Additional findings are presented in further papers.
Source: Drug and Alcohol Review
DOI: 10.1111/dar.13628
Authors: Clare Farmer, Peter G. Miller
Institution: Deakin University
Language: English
Topic: Night-time city culture
Subfield: Urban Studies
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $4,220
Funder: Deakin University
OpenAlex ID: W4322201497
