Associations between violent crime inside and outside, air temperature, urban heat island magnitude and urban green space

There are more incidents of violence in summer and on hot days, a trend likely to be exacerbated by climate change. Urban areas experience additional temperature modulation due to the urban form, however, to date, no studies have considered the effect of the urban heat island (UHI) or green space with respect to the temperature-violence relationship. This study modelled the relationship between the number of daily violent crime incidents that occurred inside or outside between July 2013 and June 2018, and the average surface UHI or percentage greencover (including grasses, shrubs and trees) within each local government area in Greater Sydney, Australia. Panelised negative binomial time series regression models indicated that the violent crime rate was associated with higher surface UHI for crimes committed outside (p = 0.006) but not inside (p = 0.072). Greater percentage of all vegetation was associated with significantly lower rates of violent crime committed outside (p = 0.011) but was not associated with violent crimes committed inside (p = 0.430). More socio-economic disadvantage was associated with higher rates of violent crime committed inside (p = 0.002) but not outside (p = 0.145). Greater temperature was non-linearly associated with higher rates of violent crime committed both inside and outside (p < 0.001). The findings of this study are important because both violence and heat exposure are critical health issues and will be stressed by urbanisation and climate change. The expansion of green space and/or reduction in UHI may mitigate these effects.

Hot and bothered? Associations between temperature and crime in Australia

Temperature and crime is one of the most extreme relationships between the atmospheric environment and human behaviour, yet our knowledge about it is primarily based on Northern Hemisphere research. This study used both temporal and spatial models to investigate the relationship between temperature and crime in New South Wales (NSW), Australia, using an 11-year data set. Results suggested that assault and theft counts were significantly higher in summer than winter (17.8 and 3.7%, respectively), while fraud counts were not significantly different. Using linear and quadratic terms for maximum daily temperature, a linear regression model indicated that daily assault counts significantly increased with rising temperature and the rate of increase slowed as temperatures exceeded 30 °C. Theft counts significantly increased with rising temperature then declined as temperatures exceeded 30°C. Again, there was no evidence of a relationship between temperature and frequency of fraud count. Spatial modelling revealed that 96% of local government areas (LGAs) in NSW had a higher summer assault rate than winter. The findings of this study provide an empirical foundation for understanding crime-temperature relationships in Australia.

Demographic and social factors associated with homophobia and fear of AIDS in a community sample

Examinations of demographic and social factors associated with homophobia and fear of AIDS are limited by the frequent use of homogeneous, college student samples and limited examination of interrelationships among variables. The present study examined community attitudes toward homosexuality and fear of HIV/AIDS as a function of age, education, race/ethnicity, religious affiliation, political party affiliation, and personal contact with homosexual individuals and persons living with HIV/AIDS. A community sample of 463 adults completed standardized measures of homophobia and fear of AIDS as well as demographic and social background items. When examined separately, each demographic and social factor assessed, with the exception of race/ethnicity, was associated with homophobia and all but race/ethnicity and political party affiliation were associated with fear of AIDS. However, when entered into multiple regression analyses, 24% of the variance in homophobia was predicted by a single variable, including only personal contact with homosexual individuals, while 18% of the variance in fear of AIDS was accounted for by five variables, including personal contact with homosexual individuals, religious affiliation, political affiliation, education, and personal contact with someone living with HIV/AIDS. Findings suggest that it is important to consider intercorrelations among social and demographic factors, particularly when considering homophobia.