18 research outputs found
Crime and the NTE: multi-classification crime (MCC) hot spots in time and space
This paper examines crime hot spots near licensed premises in the night-time economy (NTE) to investigate whether hot spots of four different classification of crime and disorder co-occur in time and place, namely violence, disorder, drugs and criminal damage. It introduces the concept of multi-classification crime (MCC) hot spots; the presence of hot spots of more than one crime classification at the same place. Furthermore, it explores the temporal patterns of identified MCC hot spots, to determine if they exhibit distinct spatio-temporal patterns. Getis Ord (GI*) hot spot analysis was used to identify locations of statistically significant hot spots of each of the four crime and disorder classifications. Strong spatial correlations were found between licensed premises and each of the four crime and disorder classifications analysed. MCC hot spots were also identified near licensed premises. Temporal profiling of the MCC hot spots revealed all four crime types were simultaneously present in time and place, near licensed premises, on Friday through Sunday in the early hours of the morning around premise closing times. At other times, criminal damage and drugs hot spots were found to occur earlier in the evening, and disorder and violence at later time periods. Criminal damage and drug hot spots flared for shorter time periods, 2–3 h, whereas disorder and violence hot spots were present for several hours. There was a small spatial lag between Friday and Saturday, with offences occurring approximately 1 h later on Saturdays. The implications of these findings for hot spot policing are discussed
A new genus and three new species of Pangoniini (Diptera: Tabanidae) from Bolivia
The genus Boliviamyia gen. nov. and it’s type species fairchildi sp. nov. are described. Two new species of Esenbeckia (Esenbeckia), griseipleura sp. nov. and gracilipalpis sp. nov. are described. Esenbeckia (Esenbeckia) planaltina Fairchild is recorded from Bolivia
Applying machine learning to criminology: semi-parametric spatial-demographic Bayesian regression
Street-Level Spatiotemporal Crime Analysis: Examples from Bronx County, NY (2006–2010)
Use of Geographically Weighted Regression on Ecology of Crime, Response to Hurricane in Miami, Florida
Crime concentration theory
A range of concepts and lexicon of terms denote crime’s tendency to concentrate. The most established are repeat offending, repeat and near repeat victimization, geographical hotspots, and hot products. Complementary terms include hot dots, hot places, hot targets, super-targets, risky facilities, risky routes, crime sprees and spates. This study charts the relationships, offers a potentially unifying concept and examines the causal mechanisms by which crime becomes concentrated. It is concluded that further effort to integrate concepts and explanations relating to concentrations of crime may provide insights useful to theory, policy and practice
Investigating the association between weather conditions, calendar events and socio-economic patterns with trends in fire incidence: An Australian case study
Fires in urban areas can cause significant economic, physical and psychological damage. Despite this, there has been a comparative lack of research into the spatial and temporal analysis of fire incidence in urban contexts. In this paper, we redress this gap through an exploration of the association of fire incidence to weather, calendar events and socio-economic characteristics in South-East Queensland, Australia using innovative technique termed the quad plot. Analysing trends in five fire incident types, including malicious false alarms (hoax calls), residential buildings, secondary (outdoor), vehicle and suspicious fires, results suggest that risk associated with all is greatly increased during school holidays and during long weekends. For all fire types the lowest risk of incidence was found to occur between one and six a. m. It was also found that there was a higher fire incidence in socially disadvantaged neighbourhoods and there was some evidence to suggest that there may be a compounding impact of high temperatures in such areas. We suggest that these findings may be used to guide the operations of fire services through spatial and temporal targeting to better utilise finite resources, help mitigate risk and reduce casualties