Is it Important to Examine Crime Trends at a Local “Micro” Level?: A Longitudinal Analysis of Street to Street Variability in Crime Trajectories

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

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.     

Hot Spots of Juvenile Crime: A Longitudinal Study of Arrest Incidents at Street Segments in Seattle,Washington

Recent studies have shown that crime is concentrated at micro level units of geography defined as hot spots. Despite this growing evidence of the concentration of crime at place, studies to date have dealt primarily with adult crime or have failed to distinguish between adult and juvenile offenses. In this paper, we identify crime incidents in which a juvenile was arrested at street segments in Seattle, Washington, over a 14-year period, to assess the extent to which officially recorded juvenile crime is concentrated at hot spots. Using group-based trajectory analysis, we also assess the stability and variability of crime at street segments over the period of the study. Our findings suggest that officially recorded juvenile crime is strongly concentrated. Indeed, just 86 street segments in Seattle include one-third of crime incidents in which a juvenile was arrested during the study period. While we do observe variability over time in trajectories identified in the study, we also find that high rate juvenile crime street segments remain relatively stable across the 14 years examined. Finally, confirming the importance of routine activity theory in understanding the concentration of juvenile crime in hot spots, we find a strong connection between high rate trajectory groups and places likely to be a part of juvenile activity spaces. Though place-based crime prevention has not been a major focus of delinquency prevention, our work suggests that it may be an area with great promise.     

THE DYNAMICS OF CRIME REGIMES*

Crimes have many features, and the mix of those features can change over time and space. In this article, we introduce the concept of a crime regime to provide some theoretical leverage on collections of crime features and how the collections of features can change. Key tools include the use of principal components analysis to determine the dimensions of crime regimes, visualization methods to help reveal the role of time, summary statistics to quantify crime regime patterns, and permutation procedures to examine the role of chance. Our approach is used to analyze temporal and spatial crime patterns for the city of Los Angeles during an 8‐year period. We focus on the number of violent crimes over time and their potential lethality.     

EXPLAINING JAPAN'S POSTWAR VIOLENT CRIME TRENDS*

Japan has long been recognized for its low rates of violent crime, rates that usually seem to be declining. The most common explanation for postwar rates links unique cultural characteristics to a system of exceptionally effective informal social controls that, at the macro level, suggest low levels of social disorganization. Other common explanations include low levels of economic stress, a small proportion of young males and a criminal justice system that delivers a high certainty of punishment. In this paper we test these four explanations for Japanese trends using both an annual time‐series national analysis (1951 to 2000) and a pooled cross‐sectional time‐series analysis of the 47 Japanese prefectures from 1955 to 2000 (at 5‐year intervals). The results from the two analyses are largely congruent. They show that measures of economic stress, certainty of punishment and age structure are–compared to common social disorganization measures–more consistent predictors of Japanese postwar violent crime trends. Our results suggest that the remarkable strength of the postwar Japanese economy may play a larger role in explaining Japanese violent crime rates than is usually recognized.     

THE LAW OF CRIME CONCENTRATION AND THE CRIMINOLOGY OF PLACE*

According to Laub (2004), criminology has a developmental life course with specific turning points that allow for innovations in how we understand and respond to crime. I argue that criminology should take another turn in direction, focusing on microgeographic hot spots. By examining articles published in Criminology, I show that only marginal attention has been paid to this area of study to date—often termed the criminology of place. I illustrate the potential utility of a turning point by examining the law of crime concentration at place, which states that for a defined measure of crime at a specific microgeographic unit, the concentration of crime will fall within a narrow bandwidth of percentages for a defined cumulative proportion of crime. By providing the first cross‐city comparison of crime concentration using a common geographic unit, the same crime type, and examining a general crime measure, I find strong support for a law of crime concentration. I also show that crime concentration stays within a narrow bandwidth across time, despite strong volatility in crime incidents. By drawing from these findings, I identify several key research questions for future study. In conclusion, I argue that a focus on the criminology of place provides significant opportunity for young scholars and has great promise for advancing criminology as a science.     

LIFE SPAN OFFENDING TRAJECTORIES OF A DUTCH CONVICTION COHORT*

The aim of this paper is to describe the development of criminal behavior from early adolescence to late adulthood based on conviction data for a sample of Dutch offenders. Measuring over an age span of 12 to 72, we ask whether there is evidence for (1) criminal trajectories that are distinct in terms of time path, (2) a small group of persistent offenders, (3) criminal trajectories that are distinct in the mix of crimes committed, or, more specifically, persistent offenders disproportionately engaging in violent offences, and (4) different offender groups having different social profiles in life domains other than crime. The analysis is based on the conviction histories of the Dutch offenders in the Criminal Career and Life Course Study. Four trajectory groups were identified using a semi‐parametric, group‐based model: sporadic offenders, low‐rate desisters, moderate‐rate desisters and high‐rate persisters. Analyses show that high‐rate persisters engage in crime at a very substantial rate, even after age 50. Compared to other trajectory groups the high‐rate persistent trajectory group disproportionately engages in property crimes rather than violent crimes. Also, these distinct trajectories are found to be remarkably similar across age cohorts.     

INVESTIGATING THE STABILITY OF CO‐OFFENDING AND CO‐OFFENDERS AMONG A SAMPLE OF YOUTHFUL OFFENDERS*

Scholars have long argued that delinquency is a group phenomenon. Even so, minimal research exists on the nature, structure, and process of co‐offending. This investigation focuses on a particular void, namely the stability of 1) co‐offending and 2) co‐offender selection over time, for which divergent theoretical expectations currently exist that bear on issues central to general and developmental/life‐course theories of crime. By relying on individual‐level, longitudinal data for a sample of juvenile offenders from Philadelphia, we find that distinct trajectories of co‐offending exist over the course of the juvenile criminal career. This inquiry also develops an individualized measure of co‐offender stability, which reveals that delinquents generally tend not to “reuse” co‐offenders, although frequent offenders show a greater propensity to do so. The discussion considers the theoretical and policy implications of these findings as well as provides some avenues for future research.     

The Dark Figure of Online Property Crime: Is Cyberspace Hiding a Crime Wave?

A pronounced drop in crime, since the early 1990s, has encompassed every crime category tracked by the FBI’s Uniform Crime Reports, including property crime. However, over the same period, the rates of online property crime (OPC) have been on the rise according to available evidence. We delineate the extent of our knowledge and data concerning cybercrime and identity theft and, using data from several nationally representative victimization surveys, offer an alternative view of property crime trends while pointing out the glaring gap in crime reporting and accounting in relation to the growing category of property crimes perpetrated online. In addition, we compare estimated costs of traditional property crime vs. OPC. Finally, we identify the main challenges for obtaining reliable data on OPC and discuss their implications, especially when applying the traditional methods of compiling crime statistics.     

DOES CRIME JUST MOVE AROUND THE CORNER? A CONTROLLED STUDY OF SPATIAL DISPLACEMENT AND DIFFUSION OF CRIME CONTROL BENEFITS*

Recent studies point to the potential theoretical and practical benefits of focusing police resources on crime hot spots. However, many scholars have noted that such approaches risk displacing crime or disorder to other places where programs are not in place. Although much attention has been paid to the idea of displacement, methodological problems associated with measuring it have often been overlooked. We try to fill these gaps in measurement and understanding of displacement and the related phenomenon of diffusion of crime control benefits. Our main focus is on immediate spatial displacement or diffusion of crime to areas near the targeted sites of an intervention. Do focused crime prevention efforts at places simply result in a movement of offenders to areas nearby targeted sites—“do they simply move crime around the corner”? Or, conversely, will a crime prevention effort focusing on specific places lead to improvement in areas nearby—what has come to be termed a diffusion of crime control benefits? Our data are drawn from a controlled study of displacement and diffusion in Jersey City, New Jersey. Two sites with substantial street‐level crime and disorder were targeted and carefully monitored during an experimental period. Two neighboring areas were selected as “catchment areas” from which to assess immediate spatial displacement or diffusion. Intensive police interventions were applied to each target site but not to the catchment areas. More than 6,000 20‐minute social observations were conducted in the target and catchment areas. They were supplemented by interviews and ethnographic field observations. Our findings indicate that, at least for crime markets involving drugs and prostitution, crime does not simply move around the corner. Indeed, this study supports the position that the most likely outcome of such focused crime prevention efforts is a diffusion of crime control benefits to nearby areas.     

LIFE‐COURSE DESISTERS? TRAJECTORIES OF CRIME AMONG DELINQUENT BOYS FOLLOWED TO AGE 70*

Linking recently collected data to form what is arguably the longest longitudinal study of crime to date, this paper examines trajectories of offending over the life course of delinquent boys followed from ages 7 to 70. We assess whether there is a distinct offender group whose rates of crime remain stable with increasing age, and whether individual differences, childhood characteristics, and family background can foretell long‐term trajectories of offending. On both counts, our results come back negative. Crime declines with age sooner or later for all offender groups, whether identified prospectively according to a multitude of childhood and adolescent risk factors, or retrospectively based on latent‐class models of trajectories. We conclude that desistance processes are at work even among active offenders and predicted life‐course persisters, and that childhood prognoses account poorly for long‐term trajectories of offending.     

HISTORICAL CONTINGENCIES AND THE EVOLVING IMPORTANCE OF RACE,VIOLENT CRIME,AND REGION IN EXPLAINING MASS INCARCERATION IN THE UNITED STATES

This article combines insights from historical research and quantitative analyses that have attempted to explain changes in incarceration rates in the United States. We use state‐level decennial data from 1970 to 2010 (N = 250) to test whether recent theoretical models derived from historical research that emphasize the importance of specific historical periods in shaping the relative importance of certain social and political factors explain imprisonment. Also drawing on historical work, we examine how these key determinants differed in Sunbelt states, that is, the states stretching across the nation's South from the Atlantic coast to the Pacific, from the rest of the nation. Our findings suggest that the relative contributions of violent crime, minority composition, political ideology, and partisanship to imprisonment vary over time. We also extend our analysis beyond mass incarceration's rise to analyze how factors associated with prison expansion can explain its stabilization and contraction in the early twenty‐first century. Our findings suggest that most of the factors that best explained state incarceration rates in the prison boom era lost power once imprisonment stabilized and declined. We find considerable support for the importance of historical contingencies in shaping state‐level imprisonment trends, and our findings highlight the enduring importance of race in explaining incarceration.     

Replicating Group-Based Trajectory Models of Crime at Micro-Places in Albany,NY

Objectives

Replicate two previous studies of temporal crime trends at the street block level. We replicate the general approach of group-based trajectory modelling of crimes at micro-places originally taken by Weisburd et al. (Criminology 42(2):283–322, 2004) and replicated by Curman et al. (J Quant Criminol 31(1):127–147, 2014). We examine patterns in a city of a different character (Albany, NY) than those previously examined (Seattle and Vancouver) and so contribute to the generalizability of previous findings.

Methods

Crimes between 2000 and 2013 were used to identify different trajectory groups at street segments and intersections. Zero-inflated Poisson regression models are used to identify the trajectories. Pin maps, Ripley’s K and neighbor transition matrices are used to show the spatial patterning of the trajectory groups.

Results

The trajectory solution with eight classes is selected based on several model selection criteria. The trajectory of each those groups follow the overall citywide decline, and are only separated by the mean level of crime. Spatial analysis shows that higher crime trajectory groups are more likely to be nearby one another, potentially suggesting a diffusion process.

Conclusions

Our work adds additional support to that of others who have found tight coupling of crime at micro-places. We find that the clustering of trajectories identified a set of street units that disproportionately contributed to the total level of crime citywide in Albany, consistent with previous research. However, the temporal trends over time in Albany differed from those exhibited in previous work in Seattle but were consistent with patterns in Vancouver.

     

DO RETURNING PAROLEES AFFECT NEIGHBORHOOD CRIME? A CASE STUDY OF SACRAMENTO*

This study used a unique data set that combines information on parolees in the city of Sacramento, CA, over the 2003–2006 time period with information on monthly crime rates in Sacramento census tracts over this same period, providing us a fine‐grained temporal and geographical view of the relationship between the change in parolees in a census tract and the change in the crime rate. We find that an increase in the number of tract parolees in a month results in an increase in the crime rate. We find that more violent parolees have a particularly strong effect on murder and burglary rates. We find that the social capital of the neighborhood can moderate the effect of parolees on crime rates: Neighborhoods with greater residential stability dampen the effect of parolees on robbery rates, whereas neighborhoods with greater numbers of voluntary organizations dampen the effect of parolees on burglary and aggravated assault rates. Furthermore, this protective effect of voluntary organizations seems strongest for those organizations that provide services for youth. We show that the effect of single‐parent households in a neighborhood is moderated by the return of parolees, which suggests that these reunited families may increase the social control ability of the neighborhood.     

Crime and crime trends in different urban environments

This is a study of crime and crime trends in different urban environments in Stockholm. The study is in two major parts. First, on the basis of a study of the factorial social ecology of Stockholm in 1980, the city is grouped into major urban environments, and thereafter the criminality in these different urban environments is studied cross sectionally for 1982. Second, the trends in crime in the city of Stockholm and its different types of urban environments are studied over a 20-year period (1968–1987). The findings show significant differences between types of urban environments in rates of crimes, offenders and victims, crime structure, and crime and distance. Also, the trends in crime were significantly different between different types of urban environments.     

IMMIGRATION AND CRIME IN AN ERA OF TRANSFORMATION: A LONGITUDINAL ANALYSIS OF HOMICIDES IN SAN DIEGO NEIGHBORHOODS, 1980–2000*

Emerging research associated with the “immigration revitalization” perspective suggests that immigration has been labeled inaccurately as a cause of crime in contemporary society. In fact, crime seems to be unexpectedly low in many communities that exhibit high levels of the following classic indicators of social disorganization: residential instability, ethnic heterogeneity, and immigration. But virtually all research conducted to date has been cross-sectional in nature and therefore unable to demonstrate how the relationship between immigration and crime might covary over time. This limitation is significant, especially because current versions of social disorganization theory posit a dynamic relationship between structural factors and crime that unfolds over time. The current study addresses this issue by exploring the effects of immigration on neighborhood-level homicide trends in the city of San Diego, California, using a combination of racially/ethnically disaggregated homicide victim data and community structural indicators collected for three decennial census periods. Consistent with the revitalization thesis, results show that the increased size of the foreign-born population reduces lethal violence over time. Specifically, we find that neighborhoods with a larger share of immigrants have fewer total, non-Latino White, and Latino homicide victims. More broadly, our findings suggest that social disorganization in heavily immigrant cities might be largely a function of economic deprivation rather than forms of “neighborhood” or “system” stability.     

HOT SPOTS OF PREDATORY CRIME: ROUTINE ACTIVITIES AND THE CRIMINOLOGY OF PLACE*

A leading sociological theory of crime is the “routine activities” approach (Cohen and Felson, 1979). The premise of this ecological theory is that criminal events result from likely offenders, suitable targets, and the absence of capable guardians against crime converging nonrandomly in time and space. Yet prior research has been unable to employ spatial data, relying instead on individual- and household-level data, to test that basic premise. This analysis supports the premise with spatial data on 323,979 calls to police over all 115,000 addresses and intersections in Minneapolis over 1 year. Relatively few “hot spots” produce most calls to Police (50% of calls in 3% of places) and calls reporting predatory crimes (all robberies at 2.2% of places, all rapes at 1.2% of places, and all auto thefts at 2.7% of places), because crime is both rare (only 3.6% of the city could have had a robbery with no repeat addresses) and concentrated, although the magnitude of concentration varies by offense type. These distributions all deviate significantly, and with ample magnitude, from the simple Poisson model of chance, which raises basic questions about the criminogenic nature of places, as distinct from neighborhoods or collectivities.     

EXAMINING THE GENERALITY OF THE UNEMPLOYMENT–CRIME ASSOCIATION

This article examines whether the relationship between unemployment and criminal offending depends on the type of crime analyzed. We rely on fixed‐effects regression models to assess the association between changes in unemployment status and changes in violent crime, property crime, and driving under the influence (DUI) over a 6‐year period. We also examine whether the type of unemployment benefit received moderates the link to criminal behavior. We find significantly positive effects of unemployment on property crime but not on other types of crime. Our estimates also suggest that unemployed young males commit less crime while participating in active labor market programs when compared with periods during which they receive standard unemployment benefits.     

Assessing the Spatial–Temporal Relationship Between Disorder and Violence

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.     

CLOSE‐UPS AND THE SCALE OF ECOLOGY: LAND USES AND THE GEOGRAPHY OF SOCIAL CONTEXT AND CRIME

Whereas one line of recent neighborhood research has placed an emphasis on zooming into smaller units of analysis such as street blocks, another line of research has suggested that even the meso‐area of neighborhoods is too narrow and that the area surrounding the neighborhood is also important. Thus, there is a need to examine the scale at which the social ecology impacts crime. We use data from seven cities from around the year 2000 to test our research questions using multilevel negative binomial regression models (N = 73,010 blocks and 8,231 block groups). Our results suggest that although many neighborhood factors seem to operate on the microscale of blocks, others seem to have a much broader impact. In addition, we find that racially and ethnically homogenous blocks within heterogeneous block groups have the most crime. Our findings also show the strongest results for a multitude of land‐use measures and that these measures sharpen some of the associations from social characteristics. Thus, we find that accounting for multiple scales simultaneously is important in ecological studies of crime.