Seasonality and Crime in Orlando Neighbourhoods

Abstract The current study examines seasonality by modelling crime in small spatial units while accounting for numerous land uses (e.g. hotel, store, school and industrial) and sociodemographic characteristics. We estimate logistic regression models that predict the probability of a crime occurring...

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Bibliographic Details
Published in:British journal of criminology 2022-01, Vol.62 (1), p.124-144
Main Authors: Kim, Young-An, Wo, James C
Format: Article
Language:English
Subjects:
Crime
Land use
Logistic regression analysis
Neighborhoods
Social aspects
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Summary:Abstract The current study examines seasonality by modelling crime in small spatial units while accounting for numerous land uses (e.g. hotel, store, school and industrial) and sociodemographic characteristics. We estimate logistic regression models that predict the probability of a crime occurring in our sample of blocks in Orlando, FL over the 52 weeks of the year (i.e. block-weeks). In addition, we examined interaction terms between each land use measure and a set of measures for weeks of the year to assess seasonal effects on neighbourhood crime. Our findings reveal a (nonlinear) seasonal effect in which the risk of neighborhood crime peaks during the summer weeks and the effect of certain land uses systematically varies across weeks of the year.
ISSN:0007-0955
1464-3529
DOI:10.1093/bjc/azab048