Intra-week spatial-temporal patterns of crime

Since its original publication, routine activity theory has proven most instructive for understanding temporal patterns in crime. The most prominent of the temporal crime patterns investigated is seasonality: crime (most often assault) increases during the summer months and decreases once routine activities are less often outside. Despite the rather widespread literature on the seasonality of crime, there is very little research investigating temporal patterns of crime at shorter time intervals such as within the week or even within the day. This paper contributes to this literature through a spatial-temporal analysis of crime patterns for different days of the week. It is found that temporal patterns are present for different days of the week (more crime on weekends, as would be expected) and there is a spatial component to that temporal change. Specifically, aside from robbery and sexual assault at the micro-spatial unit of analysis (street segments) the spatial patterns of crime changed. With regard to the spatial pattern changes, we found that assaults and theft from vehicle had their spatial patterns change in predictable ways on Saturdays: assaults increased in the bar district and theft from vehicles increased in the downtown and recreational car park areas

Is it safer behind the gates? Crime and gated communities in South Africa

Gated communities have long been seen as a rational response to rising crime levels, yet very little is known about the extent to which residing in a gated community actually reduces an individuals’ risk of criminal victimisation. In this study, we use location quotients to compare the extent of burglary in gated communities with burglary across the entire city of Tshwane, South Africa, as well as compare burglary in gated communities with burglary occurring within a series of buffer intervals immediately surrounding these communities. Finally, we identify what physical characteristics of gated communities differentiate between high and low burglary in these enclaves. Prior to expectations, we found that gated communities (and their immediate surrounding areas) are associated with increased levels of burglary. There are, however, a number of physical characteristics of gated communities which are associated with much lower burglary levels. The implications of our work from a crime prevention and development planning perspective are discussed.http://link.springer.com/journal/10901/29/1hb201

The changing demography of academic staff at higher education institutions (HEIs) in South Africa

In this work, we contribute to the debate on the transformation of higher education institutions (HEIs) in post-apartheid South Africa by examining the changing demography of academic staff bodies at 25 South African HEIs from 2005 to 2015. We use empirical data to provide initial insights into the changing racial profiles of academic staff bodies across age, gender and rank and then summarise our findings into a transformation ‘scorecard’ which provides an indication of how all racial groups in the country are performing in terms of their representation in higher education. Initial results indicate that most academics in South Africa are middle-aged (between 35 and 54) but an ageing trend is evident, particularly among white academics. In terms of gender, males marginally outnumber females, although we estimate an equitable distribution to be attained within the next 5 years. Significantly, the data indicate that there is an upwards trajectory of black African academics across all rankings from 2005 to 2015 and a concomitant downward trajectory of white academics across all rankings. Both Indian and coloured academics most closely represent their national population representation. Our transformation ‘scorecard’ indicates that the demography of academic staff at higher education institutions in South Africa is changing and will continue to change in the future, particularly within the next 20 years if current trends continue.http://link.springer.com/journal/107342019-07-01hj2017Geography, Geoinformatics and Meteorolog