Predicting property crime risk: an application of risk terrain modeling in Vancouver, Canada
Research on the spatial dimension of crime has developed significantly over the past few decades. An important aspect of this research is the visualization of this dimension and its underlying risk across space. However, most methods of such visualization, and subsequent analyses, only consider crim...
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| Tipo de documento: | Electrónico Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| En: |
European journal on criminal policy and research
Año: 2018, Volumen: 24, Número: 4, Páginas: 373-392 |
| Acceso en línea: |
Volltext (Publisher) |
| Journals Online & Print: | Gargar...
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| Verificar disponibilidad: | HBZ Gateway |
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| Sumario: | Research on the spatial dimension of crime has developed significantly over the past few decades. An important aspect of this research is the visualization of this dimension and its underlying risk across space. However, most methods of such visualization, and subsequent analyses, only consider crime data or, perhaps, a population at risk in a crime rate. Risk terrain modeling (RTM) provides an alternative to such methods and can incorporate the entire environmental backcloth, data permitting. To date, the RTM literature has dominantly focused on violent crime in the United States. In this paper, we apply RTM to property crime victimization (residential burglary) in Vancouver, Canada. We are able to show that not only does RTM have applicability in a Canadian context but provides insight into nonviolent victimization. |
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| ISSN: | 1572-9869 |
| DOI: | 10.1007/s10610-018-9386-1 |