Predicting criminal behavior with Lévy flights using real data from Bogotá
I use residential burglary data from Bogota, Colombia, to fit an agent-based model following truncated L´evy flights (Pan et al., 2018) elucidating criminal rational behavior and validating repeat/near-repeat victimization and broken windows effects. The estimated parameters suggest that if an avera...
- Autores:
-
Rubio, Mateo
- Tipo de recurso:
- Work document
- Fecha de publicación:
- 2019
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/41075
- Acceso en línea:
- http://hdl.handle.net/1992/41075
- Palabra clave:
- Criminal behavior
Crime prediction model
Machine learning
Agent-based model
K42, H39, C53, C63
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/