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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...
Autores principales: | Wu, Jiahui, Abrar, Saad Mohammad, Awasthi, Naman, Frias-Martinez, Enrique, Frias-Martinez, Vanessa |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
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 |
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