Anthony A. Braga and David L. Weisburd
Is it Important to Examine Crime Trends at a Local “Micro” Level?: A Longitudinal Analysis of Street to Street Variability in Crime Trajectories
Elizabeth R. Groff, David Weisburd and Sue-Ming Yang
Over the last 40 years, the question of how crime varies across places has gotten greater attention. At the same time, as data and computing power have increased, the definition of a ‘place’ has shifted farther down the geographic cone of resolution. This has led many researchers to consider places as small as single addresses, group of addresses, face blocks or street blocks. Both cross-sectional and longitudinal studies of the spatial distribution of crime have consistently found crime is strongly concentrated at a small group of ‘micro’ places. Recent longitudinal studies have also revealed crime concentration across micro places is relatively stable over time. A major question that has not been answered in prior research is the degree of block to block variability at this local ‘micro’ level for all crime. To answer this question, we examine both temporal and spatial variation in crime across street blocks in the city of Seattle Washington. This is accomplished by applying trajectory analysis to establish groups of places that follow similar crime trajectories over 16 years. Then, using quantitative spatial statistics, we establish whether streets having the same temporal trajectory are collocated spatially or whether there is street to street variation in the temporal patterns of crime. In a surprising number of cases we find that individual street segments have trajectories which are unrelated to their immediately adjacent streets. This finding of heterogeneity suggests it may be particularly important to examine crime trends at very local geographic levels. At a policy level, our research reinforces the importance of initiatives like ‘hot spots policing’ which address specific streets within relatively small areas.
The Concentration and Stability of Gun Violence at Micro Places in Boston, 1980–2008
Anthony A. Braga, Andrew V. Papachristos and David M. Hureau
Boston, like many other major U.S. cities, experienced an epidemic of gun violence during the late 1980s and early 1990s that was followed by a sudden large downturn in gun violence in the mid 1990s. The gun violence drop continued until the early part of the new millennium. Recent advances in criminological research suggest that there is significant clustering of crime in micro places, or “hot spots,” that generate a disproportionate amount of criminal events in a city. In this paper, we use growth curve regression models to uncover distinctive developmental trends in gun assault incidents at street segments and intersections in Boston over a 29-year period. We find that Boston gun violence is intensely concentrated at a small number of street segments and intersections rather than spread evenly across the urban landscape between 1980 and 2008. Gun violence trends at these high-activity micro places follow two general trajectories: stable concentrations of gun assaults incidents over time and volatile concentrations of gun assault incidents over time. Micro places with volatile trajectories represent less than 3% of street segments and intersections, generate more than half of all gun violence incidents, and seem to be the primary drivers of overall gun violence trends in Boston. Our findings suggest that the urban gun violence epidemic, and sudden downturn in urban gun violence in the late 1990s, may be best understood by examining highly volatile micro-level trends at a relatively small number of places in urban environments.
Activity Fields and the Dynamics of Crime: Advancing Knowledge About the Role of the Environment in Crime Causation
Per-Olof H. Wikström, Vania Ceccato, Beth Hardie and Kyle Treiber
Our current understanding of the role of the social environment in crime causation is at best rudimentary. Guided by the theoretical framework of Situational Action Theory, and using data from the ESRC financed Peterborough Adolescent and Young Adult Development Study (PADS+), this paper aims to propose how we can better theorise and study the role of the social environment, particularly the person and place interaction, in crime causation. We will introduce, and illustrate the usefulness of, a space–time budget methodology as a means of capturing people’s exposure to settings and describing their activity fields. We will suggest and demonstrate that, combined with a small area community survey and psychometric measures of individual characteristics, a space–time budget is a powerful tool for advancing our knowledge about the role of the social environment, and its interaction with people’s crime propensity, in crime causation. Our unique data allows us to study the convergence in time and space of crime propensity, criminogenic exposure and crime events. As far as we are aware, such an analysis has never before been carried out. The findings show that there are (a) clear associations between young people’s activity fields and their exposure to criminogenic settings, (b) clear associations between their exposure to criminogenic settings and their crime involvement, and, crucially, (c) that the influence of criminogenic exposure depends on a person’s crime propensity. Having a crime-averse morality and strong ability to exercise self-control appears to make young people practically situationally immune to the influences of criminogenic settings, while having a crime-prone morality and poor ability to exercise self-control appears to make young people situationally vulnerable to the influences of criminogenic settings.
Permeability and Burglary Risk: Are Cul-de-Sacs Safer?
Shane D. Johnson and Kate J. Bowers
That crime is concentrated in space is now accepted as commonplace. Explanations for why it clusters at particular locations are various reflecting the range of factors which are held to influence crime placement. In this article, we focus on the role of the permeability of the street network on the location of crime. We first review the research conducted hitherto, summarising the different approaches to analysis and the findings that have so far emerged. Then we present original analyses conducted at the street segment level to examine the issues at hand. In contrast to much of the prior research, in this study we examine the patterns for a large study area in which there is considerable variation in street network configuration. Moreover, and in contrast to all of the previous research, the approach to analysis takes into account the multi-level structure of the data analysed. The findings demonstrate that increased permeability is associated with elevated burglary risk, that burglary risk is lower on cul-de-sacs (particularly those that are sinuous in nature), and that the risk of burglary is higher on more major roads and those street segments that are connected to them. In the conclusion of the paper we outline an agenda for future research.
Modeling Micro-Level Crime Location Choice: Application of the Discrete Choice Framework to Crime at Places
Wim Bernasco
Discrete choice recently emerged as a new framework for analyzing criminal location decisions, but has thus far only been used to study the choice amongst large areas like census tracts. Because offenders also make target selection decisions at much lower levels of spatial aggregation, the present study analyzes the location choices of offenders at detailed spatial resolutions: the average unit of analysis is an area of only 18 residential units and 40 residents. This article reviews the discrete choice and spatial choice literature, justifies the use of geographic units this small, and argues that because small spatial units depend strongly on their environment, models are needed that take into account spatial interdependence. To illustrate these points, burglary location choice data from the Netherlands are analyzed with discrete choice models, including the spatial competition model.
Assessing the Spatial–Temporal Relationship Between Disorder and Violence
Sue-Ming Yang
The relationship between disorder and violence has generated much debate in the field of criminology. While advocates of the broken windows thesis believe disorder is the root cause of crime, other researchers view both disorder and crime as analogous behaviors resulting from the breakdown of collective efficacy. Scholars from both sides of this debate, however, assume a long-term correlation between disorder and crime at places. This assumption has not been tested with a longitudinal dataset at a relatively small geographic unit of analysis. The current study used data collected in Seattle, Washington and utilized Group-based Trajectory Analysis and Joint Trajectory Analysis to explore the longitudinal relationship between disorder and violence. The results showed that disorder, just like crime, concentrates in a few “hot spots.” Additionally, the results showed that while the lack of disorder problems guarantees places to be violence free, having high levels of disorder predicts having violence problems only about 30% of time. As such, these findings point out the need for future theorization efforts on the disorder-violence nexus to include contextual factors which could explain this imperfect association between the two.
Journal of Quantitative Criminology, March 2010: Volume 26, Issue 1
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