Modelado y simulación del proceso adaptativo de la población desplazada ubicada en las localidades Kennedy y Ciudad Bolívar en Bogotá D.C.

Abstract

This work addresses the problem of adaptation of the displaced population in the receiving places, specifically the towns of Kennedy and Ciudad Bolívar in Bogotá DC, evaluating labor and educational aspects, these being the most incidents in the conditions of vulnerability of the displaced population defined within multidimensional poverty factors. Data mining tools such as Rapid Miner and implementations of the K-Modes algorithm in Python were used and an agent-based simulation was modeled and developed with the NetLogo tool. It was found that the most incident variables in the problem are the percentage of the minimum wage earned by people in displacement and the education coverage in the receiving places. There is also evidence of a gender gap that as a consequence has a lower adaptation rate in displaced families whose head of household is female.