Kemp, NBreetzke, GDCooper, Antony K2021-01-042021-01-042020-09Kemp, N., Breetzke, G.D., & Cooper, A.K. 2020. Modeling the risk of robbery in the city of Tshwane, South Africa. Cartography and Geographic Information Science, pp. 141523-04061545-0465https://doi.org/10.1080/15230406.2020.1814872DOI: 10.1080/15230406.2020.1814872http://hdl.handle.net/10204/11703Copyright: 2020 Taylor & Francis. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. The definitive version of the work is published in Cartography and Geographic Information Science, pp. 14In this study, we model the risk of robbery in the City of Tshwane in South Africa. We use the collective knowledge of two prominent spatial theories of crime (social disorganization theory, and crime pattern theory) to guide the selection of data and employ rudimentary geospatial techniques to create a crude model that identifies the risk of future robbery incidents in the city. The model is validated using actual robbery incidences recorded for the city. Overall the model performs reasonably well with approximately 70% of future robbery incidences accurately identified within a small subset of the overall model. Developing countries such as South Africa are in dire need of crime risk intensity models that are simple, and not data intensive to allocate scarce crime prevention resources in a more optimal fashion. It is anticipated that this model is a first step in this regard.enModelRisk intensityRobberySocial disorganizationArticleKemp, N., Breetzke, G., & Cooper, A. K. (2020). Modeling the risk of robbery in the city of Tshwane, South Africa. http://hdl.handle.net/10204/11703Kemp, N, GD Breetzke, and Antony K Cooper "Modeling the risk of robbery in the city of Tshwane, South Africa." (2020) http://hdl.handle.net/10204/11703Kemp N, Breetzke G, Cooper AK. Modeling the risk of robbery in the city of Tshwane, South Africa. 2020; http://hdl.handle.net/10204/11703.TY - Article AU - Kemp, N AU - Breetzke, GD AU - Cooper, Antony K AB - In this study, we model the risk of robbery in the City of Tshwane in South Africa. We use the collective knowledge of two prominent spatial theories of crime (social disorganization theory, and crime pattern theory) to guide the selection of data and employ rudimentary geospatial techniques to create a crude model that identifies the risk of future robbery incidents in the city. The model is validated using actual robbery incidences recorded for the city. Overall the model performs reasonably well with approximately 70% of future robbery incidences accurately identified within a small subset of the overall model. Developing countries such as South Africa are in dire need of crime risk intensity models that are simple, and not data intensive to allocate scarce crime prevention resources in a more optimal fashion. It is anticipated that this model is a first step in this regard. DA - 2020-09 DB - ResearchSpace DP - CSIR KW - Model KW - Risk intensity KW - Robbery KW - Social disorganization LK - https://researchspace.csir.co.za PY - 2020 SM - 1523-0406 SM - 1545-0465 T1 - Modeling the risk of robbery in the city of Tshwane, South Africa TI - Modeling the risk of robbery in the city of Tshwane, South Africa UR - http://hdl.handle.net/10204/11703 ER -