Measuring the Distribution of Crime and Its Concentration. / Prieto Curiel, Rafael; Collignon, Sofia; Bishop, Stephen Richard.

In: Journal of Quantitative Criminology, Vol. 34, No. 3, 09.2018, p. 775-803.

Research output: Contribution to journalArticle

Published

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Measuring the Distribution of Crime and Its Concentration. / Prieto Curiel, Rafael; Collignon, Sofia; Bishop, Stephen Richard.

In: Journal of Quantitative Criminology, Vol. 34, No. 3, 09.2018, p. 775-803.

Research output: Contribution to journalArticle

Harvard

Prieto Curiel, R, Collignon, S & Bishop, SR 2018, 'Measuring the Distribution of Crime and Its Concentration', Journal of Quantitative Criminology, vol. 34, no. 3, pp. 775-803. https://doi.org/10.1007/s10940-017-9354-9

APA

Prieto Curiel, R., Collignon, S., & Bishop, S. R. (2018). Measuring the Distribution of Crime and Its Concentration. Journal of Quantitative Criminology, 34(3), 775-803. https://doi.org/10.1007/s10940-017-9354-9

Vancouver

Prieto Curiel R, Collignon S, Bishop SR. Measuring the Distribution of Crime and Its Concentration. Journal of Quantitative Criminology. 2018 Sep;34(3):775-803. https://doi.org/10.1007/s10940-017-9354-9

Author

Prieto Curiel, Rafael ; Collignon, Sofia ; Bishop, Stephen Richard. / Measuring the Distribution of Crime and Its Concentration. In: Journal of Quantitative Criminology. 2018 ; Vol. 34, No. 3. pp. 775-803.

BibTeX

@article{4a25269f7ba4424aa4560333d19cc2f0,
title = "Measuring the Distribution of Crime and Its Concentration",
abstract = "ObjectivesGenerally speaking, crime is, fortunately, a rare event. As far as modelling is concerned, this sparsity of data means that traditional measures to quantify concentration are not appropriate when applied to crime suffered by a population. Our objective is to develop a new technique to measure the concentration of crime which takes into account its low frequency of occurrence and its high degree of concentration in such a way that this measure is comparable over time and over different populations.MethodsThis article derives an estimate of the distribution of crime suffered by a population based on a mixture model and then evaluates a new and standardised measurement of the concentration of the rates of suffering a crime based on that distribution.ResultsThe new measure is successfully applied to the incidence of robbery of a person in Mexico and is able to correctly quantify the concentration crime in such a way that is comparable between different regions and can be tracked over different time periods.ConclusionsThe risk of suffering a crime is not uniformly distributed across a population. There are certain groups which are statistically immune to suffering crime but there are also groups which suffer chronic victimisation. This measure improves our understanding of how patterns of crime can be quantified allowing us to determine if a prevention policy results in a crime reduction rather than target displacement. The method may have applications beyond crime science.",
author = "{Prieto Curiel}, Rafael and Sofia Collignon and Bishop, {Stephen Richard}",
note = "Curiel, R. P., Delmar, S. C., & Bishop, S. R. (2017). Measuring the distribution of crime and its concentration. Journal of Quantitative Criminology, 1-29.",
year = "2018",
month = "9",
doi = "10.1007/s10940-017-9354-9",
language = "English",
volume = "34",
pages = "775--803",
journal = "Journal of Quantitative Criminology",
issn = "1573-7799",
publisher = "Springer",
number = "3",

}

RIS

TY - JOUR

T1 - Measuring the Distribution of Crime and Its Concentration

AU - Prieto Curiel, Rafael

AU - Collignon, Sofia

AU - Bishop, Stephen Richard

N1 - Curiel, R. P., Delmar, S. C., & Bishop, S. R. (2017). Measuring the distribution of crime and its concentration. Journal of Quantitative Criminology, 1-29.

PY - 2018/9

Y1 - 2018/9

N2 - ObjectivesGenerally speaking, crime is, fortunately, a rare event. As far as modelling is concerned, this sparsity of data means that traditional measures to quantify concentration are not appropriate when applied to crime suffered by a population. Our objective is to develop a new technique to measure the concentration of crime which takes into account its low frequency of occurrence and its high degree of concentration in such a way that this measure is comparable over time and over different populations.MethodsThis article derives an estimate of the distribution of crime suffered by a population based on a mixture model and then evaluates a new and standardised measurement of the concentration of the rates of suffering a crime based on that distribution.ResultsThe new measure is successfully applied to the incidence of robbery of a person in Mexico and is able to correctly quantify the concentration crime in such a way that is comparable between different regions and can be tracked over different time periods.ConclusionsThe risk of suffering a crime is not uniformly distributed across a population. There are certain groups which are statistically immune to suffering crime but there are also groups which suffer chronic victimisation. This measure improves our understanding of how patterns of crime can be quantified allowing us to determine if a prevention policy results in a crime reduction rather than target displacement. The method may have applications beyond crime science.

AB - ObjectivesGenerally speaking, crime is, fortunately, a rare event. As far as modelling is concerned, this sparsity of data means that traditional measures to quantify concentration are not appropriate when applied to crime suffered by a population. Our objective is to develop a new technique to measure the concentration of crime which takes into account its low frequency of occurrence and its high degree of concentration in such a way that this measure is comparable over time and over different populations.MethodsThis article derives an estimate of the distribution of crime suffered by a population based on a mixture model and then evaluates a new and standardised measurement of the concentration of the rates of suffering a crime based on that distribution.ResultsThe new measure is successfully applied to the incidence of robbery of a person in Mexico and is able to correctly quantify the concentration crime in such a way that is comparable between different regions and can be tracked over different time periods.ConclusionsThe risk of suffering a crime is not uniformly distributed across a population. There are certain groups which are statistically immune to suffering crime but there are also groups which suffer chronic victimisation. This measure improves our understanding of how patterns of crime can be quantified allowing us to determine if a prevention policy results in a crime reduction rather than target displacement. The method may have applications beyond crime science.

U2 - 10.1007/s10940-017-9354-9

DO - 10.1007/s10940-017-9354-9

M3 - Article

VL - 34

SP - 775

EP - 803

JO - Journal of Quantitative Criminology

JF - Journal of Quantitative Criminology

SN - 1573-7799

IS - 3

ER -