Spatiotemporal Association Between Temperature and Assaults: A Generalized Linear Mixed-Model Approach

We aim to analyze the association between temperature and assault at highly disaggregated spatial units with great temporal resolution to investigate their spatiotemporal dynamics. We applied generalized linear mixed models (GLMMs) to assault and weather data from 2015, aggregated weekly at 424 subd...

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Detalles Bibliográficos
Autor principal: Jung, Yeondae (Autor)
Otros Autores: Kim, Dohyeong ; Piquero, Alex R.
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2020
En: Crime & delinquency
Año: 2020, Volumen: 66, Número: 2, Páginas: 277-302
Acceso en línea: Volltext (Resolving-System)
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Palabras clave:
Crime
South Korea
Spatiotemporal context
Weather
Descripción
Sumario:We aim to analyze the association between temperature and assault at highly disaggregated spatial units with great temporal resolution to investigate their spatiotemporal dynamics. We applied generalized linear mixed models (GLMMs) to assault and weather data from 2015, aggregated weekly at 424 subdistricts in Seoul, South Korea, controlling for various socioeconomic and environmental variables. Analyses revealed a positive and significant linear association between temperature and assaults and a few small but significant interaction effects that relate to an increase in assaults. A more enhanced understanding of the spatiotemporal relationship between temperature and crime would provide useful implications for targeted crime prevention and resource allocations.
ISSN:1552-387X
DOI:10.1177/0011128719834555