Understanding the illicit drug distribution in England: a data-centric approach to the County Lines Model

Author:

Castro-Gonzalez Leonardo12ORCID

Affiliation:

1. Department of Economics, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK

2. Public Policy Programme, The Alan Turing Institute, British Library, 96 Euston Road, London NW1 2DB, UK

Abstract

The County Lines Model (CLM) is a relatively new illicit drugs distribution method found in Great Britain. The CLM has brought modern slavery and public health issues, while challenging the law-enforcement capacity to act, as coordination between different local police forces is necessary. Our objective is to understand the territorial logic behind the line operators when establishing a connection between two places. We use three different spatial models (gravity, radiation and retail models), as each one of them understands flow from place i to j in a different way. Using public data from the Metropolitan Police of London, we train and cross-validate the models to understand which of the different physical and socio-demographic variables are considered when establishing a connection. We analyse hospital admissions by drugs, disposable household income, police presence and knife crime events, in addition to the population of a particular place and the distance and travel times between two different locations. Our results show that knife crime events and hospital admissions by misuse of drugs are the most important variables. We also find that London operators distribute to the territory known as the ‘south’ of England, as negligible presence of them is observed outside of it.

Funder

Engineering and Physical Sciences Research Council

Publisher

The Royal Society

Subject

Multidisciplinary

Reference34 articles.

1. National Crime Agency Home Office (UK). 2019 Intelligence assessment: county lines drug supply vulnerability and harm 2018 . See: https://www.nationalcrimeagency.gov.uk/who-we-are/publications/257-county-lines-drug-supply-vulnerability-and-harm-2018/file (cited 1 September 2022).

2. Black C Home Office (UK). 2020 Review of drugs: evidence relating to drug use supply and effects including current trends and future risks . See: https://www.gov.uk/government/publications/review-of-drugs-phase-one-report (cited 1 September 2022).

3. Andell P Pitts J. 2018 The end of the line? The impact of county lines drug distribution on youth crime in a target destination. Youth & Policy 26 January 2018. See: https://www.youthandpolicy.org/articles/the-end-of-the-line/ (cited 1 September 2022).

4. Working County Lines: Child Criminal Exploitation and Illicit Drug Dealing in Glasgow and Merseyside

5. Child Criminal Exploitation: ‘County Lines’, Trafficking and Cuckooing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3