Suppr超能文献

将斯塔福德和沃尔对威慑理论的重新概念化应用于毒驾:它能预测那些可能犯罪的人吗?

Applying Stafford and Warr's reconceptualization of deterrence theory to drug driving: can it predict those likely to offend?

机构信息

Centre for Accident Research and Road Safety - Queensland, Queensland University of Technology, K Block, 130 Victoria Park Road, Kelvin Grove, QLD, 4059, Australia.

出版信息

Accid Anal Prev. 2010 Mar;42(2):452-8. doi: 10.1016/j.aap.2009.09.007. Epub 2009 Oct 3.

Abstract

In December 2007, random roadside drug testing commenced in Queensland, Australia. Subsequently, the aim of this study was to explore the preliminary impact of Queensland's drug driving legislation and enforcement techniques by applying Stafford and Warr's [Stafford, M.C., Warr, M., 1993. A reconceptualization of general and specific deterrence. Journal of Research in Crime and Delinquency, 30, 123-135] reconceptualization of deterrence theory. Completing a comprehensive drug driving questionnaire were 899 members of the public, university students, and individuals referred to a drug diversion program. Of note was that approximately a fifth of participants reported drug driving in the past six months. Additionally, the analysis indicated that punishment avoidance and vicarious punishment avoidance were predictors of the propensity to drug drive in the future. In contrast, there were indications that knowing of others apprehended for drug driving was not a sufficient deterrent. Sustained testing and publicity of the legislation and countermeasure appears needed to increase the deterrent impact for drug driving.

摘要

2007 年 12 月,澳大利亚昆士兰州开始进行随机路边毒品检测。随后,本研究旨在通过应用斯塔福德和沃尔(Stafford and Warr)[Stafford, M.C., Warr, M., 1993. A reconceptualization of general and specific deterrence. Journal of Research in Crime and Delinquency, 30, 123-135]的威慑理论重构来探讨昆士兰州的毒驾立法和执法技术的初步影响。共有 899 名公众、大学生和被转介到毒品转移项目的个人完成了一份全面的毒驾问卷。值得注意的是,大约五分之一的参与者报告在过去六个月中有过毒驾行为。此外,分析表明,避免惩罚和替代性避免惩罚是未来毒驾倾向的预测因素。相比之下,有迹象表明,知道他人因毒驾被捕并不能起到足够的威慑作用。似乎需要持续测试和宣传立法和对策,以增加毒驾的威慑效果。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验