Enhancing short-term crime prediction with human mobility flows and deep learning architectures

Place-based short-term crime prediction models leverage the spatio-temporal patterns of historical crimes to predict aggregate volumes of crime incidents at specific locations over time. Under the umbrella of the crime opportunity theory, that suggests that human mobility can play a role in crime ge...

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Detalles Bibliográficos
Autores principales: Wu, Jiahui, Abrar, Saad Mohammad, Awasthi, Naman, Frias-Martinez, Enrique, Frias-Martinez, Vanessa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640891/
https://www.ncbi.nlm.nih.gov/pubmed/36406335
http://dx.doi.org/10.1140/epjds/s13688-022-00366-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640891/
https://www.ncbi.nlm.nih.gov/pubmed/36406335
http://dx.doi.org/10.1140/epjds/s13688-022-00366-2

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