Unique ID: WB37
| Division: | T&ICT |
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| Issue Date: | February 13th 2019 |
| Last modified: | February 22nd 2019 |
Evaluation of Crime and Infrastructure using Bayesian Maximum Entropy and Risk Terrain Modeling approaches in Bogotá, Colombia, 2008 - 2013
Evaluation of Crime and Infrastructure using Bayesian Maximum Entropy and Risk Terrain Modeling approaches in Bogotá, Colombia, 2008 - 2013
Using rich and robust data we intend to quantify the association of crime with specific built environment characteristics measured through street audits as well as using existing infrastructure information. Using Bayesian Maximum Entropy (BME) and Risk Terrain Modeling (RTM) we will quantify with incidence rate ratios, what specific features of the environment are associated with 6 different crimes (two against persons and four against property), as well as describe the temporal and spatial features of areas with high crime and predict which areas of the city are more likely to experience crime in the future.
Project Sources
| Type Of Institution: | international organization |
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| Region: | Latin America & the Caribbean |
| Country Area: | Colombia |
| Id Country Regional: | country |
SDG Indicators
| SDG: | 16 - Peace, Justice & Strong Institutions |
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| SDG Comments: | 16.4, 16a, 16.1, 16.2 |
| SDG Relevance: |
Other
| Income Level: | Upper-middle-income |
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| Iso: | CO |
| Timeframe To Produce Indicator: | NA |