RT Article
T1 Sizing up Crime and Weather Relationships in a Small Northern City
JF Canadian journal of criminology and criminal justice
VO 65
IS 1
SP 60
OP 79
A1 Castle, Ysabel
A2 Kovacs, John
LA English
YR 2023
UL https://krimdok.uni-tuebingen.de/Record/1869025652
AB Small study areas are vastly underrepresented in the criminological literature, including the literature on the relationship between crime and weather. North Bay, ON (population 50,000) provides a useful study area in which to begin to address this lack. Using five years of police call for service data (2015-2019), negative binomial regression models were used to assess the relationships between weather variables and assaults, break and enters, domestic disputes, and thefts. For each crime type, the resulting models were compared based on their Aikake information criteria (AICs) to determine which performed the best. Significant relationships were found to differ between crime types. Temperature played a significant role in determining the temporal distribution of thefts, while for break and enters a model without weather variables performed best, even though both are property crimes. Similarly, for violent crimes, assaults were found to be positively correlated to temperature, while domestic disputes depended mainly on day of the week.
K1 Crime
K1 météo
K1 petite ville
K1 saison
K1 season
K1 small city
K1 Weather
DO 10.3138/cjccj.2022-0037