Unique ID: WB37

Division: T&ICT
Issue Date: February 13th 2019
Last modified: February 22nd 2019
Collaborative

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

SDG: 16 - Peace, Justice & Strong Institutions

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
Project Sources
Type Of Institution: international organization
Region: Latin America & the Caribbean
Country Area: Colombia
Id Country Regional: country
SDG Indicators
SDG Indicators
SDG: 16 - Peace, Justice & Strong Institutions
SDG Comments: 16.4, 16a, 16.1, 16.2
Other
Other
Income Level: Upper-middle-income
Iso: CO
Timeframe To Produce Indicator: NA
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