RT Article
T1 Spatiotemporal Association Between Temperature and Assaults: A Generalized Linear Mixed-Model Approach
JF Crime & delinquency
VO 66
IS 2
SP 277
OP 302
A1 Jung, Yeondae
A1 Kim, Dohyeong
A1 Piquero, Alex R. 1970-
LA English
YR 2020
UL https://krimdok.uni-tuebingen.de/Record/1687899347
AB 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.
K1 Weather
K1 Crime
K1 Spatiotemporal context
K1 South Korea
DO 10.1177/0011128719834555