Cargando…

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

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 objec...

Descripción completa

Detalles Bibliográficos
Autor principal: Castro-Gonzalez, Leonardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154935/
https://www.ncbi.nlm.nih.gov/pubmed/37153368
http://dx.doi.org/10.1098/rsos.221297
_version_ 1785036230259376128
author Castro-Gonzalez, Leonardo
author_facet Castro-Gonzalez, Leonardo
author_sort Castro-Gonzalez, Leonardo
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10154935
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher The Royal Society
record_format MEDLINE/PubMed
spelling pubmed-101549352023-05-04 Understanding the illicit drug distribution in England: a data-centric approach to the County Lines Model Castro-Gonzalez, Leonardo R Soc Open Sci Mathematics 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. The Royal Society 2023-05-03 /pmc/articles/PMC10154935/ /pubmed/37153368 http://dx.doi.org/10.1098/rsos.221297 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Mathematics
Castro-Gonzalez, Leonardo
Understanding the illicit drug distribution in England: a data-centric approach to the County Lines Model
title Understanding the illicit drug distribution in England: a data-centric approach to the County Lines Model
title_full Understanding the illicit drug distribution in England: a data-centric approach to the County Lines Model
title_fullStr Understanding the illicit drug distribution in England: a data-centric approach to the County Lines Model
title_full_unstemmed Understanding the illicit drug distribution in England: a data-centric approach to the County Lines Model
title_short Understanding the illicit drug distribution in England: a data-centric approach to the County Lines Model
title_sort understanding the illicit drug distribution in england: a data-centric approach to the county lines model
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154935/
https://www.ncbi.nlm.nih.gov/pubmed/37153368
http://dx.doi.org/10.1098/rsos.221297
work_keys_str_mv AT castrogonzalezleonardo understandingtheillicitdrugdistributioninenglandadatacentricapproachtothecountylinesmodel