Weekly Crime Concentration
Objectives Examine and visualise the temporal concentration of different crime types and detect if their intensity varies through distinct moments of the week. Methods The “heartbeat of the crime signal” is constructed by overlapping the weekly time they were suffered. This study is based on more th...
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Tipo de documento: | Electrónico Artículo |
Lenguaje: | Inglés |
Publicado: |
2023
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En: |
Journal of quantitative criminology
Año: 2023, Volumen: 39, Número: 1, Páginas: 97-124 |
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Volltext (kostenfrei) Volltext (kostenfrei) |
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520 | |a Objectives Examine and visualise the temporal concentration of different crime types and detect if their intensity varies through distinct moments of the week. Methods The “heartbeat of the crime signal” is constructed by overlapping the weekly time they were suffered. This study is based on more than 220,000 crimes reported to the Mexico City Police Department between January 2016 and March 2020 to capture the day and time of crimes and detect moments of the week in which the intensity exceeds the average frequency. A new metric for the temporal concentration of crime is constructed for different types of crime and regions of the city based on the corresponding heartbeats. Results The temporal concentration of crime is a stable signature of different types of crime. The intensity of robberies and theft is more homogeneous from Monday to Sunday, but robberies of a bank user are highly concentrated in a week, meaning that few hours of the week capture most of the burning moments. The concentration is not homogeneously distributed in the city, with some regions experiencing a much higher temporal concentration of crime. Conclusions Crime is highly concentrated when observed in its weekly patterns, but different types of crime and regions exhibit substantially distinct concentration levels. The temporal trace indicates specific moments for the burning times of different types of crime, which is a critical element of a policing strategy. | ||
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773 | 0 | 8 | |i Enthalten in |t Journal of quantitative criminology |d New York, NY [u.a.] : Springer Science + Business Media B.V., 1985 |g 39(2023), 1, Seite 97-124 |h Online-Ressource |w (DE-627)320578003 |w (DE-600)2017241-2 |w (DE-576)104082321 |x 1573-7799 |7 nnas |
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