Analysis of the temporal distribution of pedestrian robberies in urban areas: the case of Porto Alegre
The aim of this paper is to analyze the temporal distribution of pedestrian robberies in Porto Alegre over a period of six years, in different months, days of the week and periods of the day. Data were collected from the Department of Public Security of Rio Grande do Sul for the period from January...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | Brasil |
| Institución: | Fórum Brasileiro de Segurança Pública (FBSP) |
| Repositorio: | Revista Brasileira de Segurança Pública (Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.revista.forumseguranca.org.br:article/1690 |
| Acceso en línea: | https://revista.forumseguranca.org.br/rbsp/article/view/1690 |
| Access Level: | acceso abierto |
| Palabra clave: | Urban areas Pedestrian Robberies Temporal Distribution of Robberies Distribución temporal de los robos Robos a peatones Zonas urbanas Distribuição temporal de roubos Roubos a pedestres Áreas urbanas |
| Sumario: | The aim of this paper is to analyze the temporal distribution of pedestrian robberies in Porto Alegre over a period of six years, in different months, days of the week and periods of the day. Data were collected from the Department of Public Security of Rio Grande do Sul for the period from January 2013 to December 2018. Data were analyzed through the frequencies of temporal distributions of robberies and presented numerically and through graphics. The results reveal, for example, that the night period is that with the highest concentration of pedestrian robberies, regardless of the month and day of the week, while, in all months, the periods with the lowest amounts of pedestrian robberies tend, clearly, to alternate between dawn from Monday to Friday and the period between 8am and until 12pm on Saturdays and Sundays. Thus, these and other results of this study contribute to the existing knowledge about the temporal distribution of pedestrian robberies in urban areas. |
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