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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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Royal Society
2023
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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 |
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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 |
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