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.     

Examining the Relationship Between the Structural Characteristics of Place and Crime by Imputing Census Block Data in Street Segments: Is the Pain Worth the Gain?

Objective

The current study proposes unique methods for apportioning existing census data in blocks to street segments and examines the effects of structural characteristics of street segments on crime. Also, this study tests if the effects of structural characteristics of street segments are similar with or distinct from those of blocks.

Methods

This study compiled a unique dataset in which block-level structural characteristics are apportioned to street segments utilizing the 2010 U.S. Census data of the cities of Anaheim, Santa Ana, and Huntington Beach in Orange County, California. Negative binomial regression models predicting crime that include measures of social disorganization and criminal opportunities in street segments and blocks were estimated.

Results

The results show that whereas some of the coefficients tested at the street segment level are similar to those aggregated to blocks, a few were quite different (most notably, racial/ethnic heterogeneity). Additional analyses confirm that the imputation methods are generally valid compared to data actually collected at the street segment level.

Conclusions

The results from the street segment models suggest that the structural characteristics from social disorganization and criminal opportunities theories at street segments may operate as crucial settings for crime. Also the results indicate that structural characteristics have generally similar effects on crime in street segments and blocks, yet have some distinct effects at the street segment level that may not be observable when looking at the block level. Such differences underscore the necessity of serious consideration of the issues of level of aggregation and unit of analysis when examining the structural characteristics-crime nexus.

     

SOCIAL INTERACTION AND COMMUNITY CRIME: EXAMINING THE IMPORTANCE OF NEIGHBOR NETWORKS

The social disorganization perspective assumes that social interaction among neighbors is a central element in the control of community crime. Moreover, social interaction among neighbors that occurs frequently, such as every day, is assumed to be most effective. This analysis tests that assumption by exploring the consequences of frequent and infrequent interaction. I construct 10 alternative measures of social interaction and separately examine the effect of each on the rates of three serious crimes across 60 urban neighborhoods. Findings suggest that type of interaction matters. Getting together once a year or more with neighbors has the most consistent and generally strongest effect on burglary, motor vehicle theft, and robbery. Further this form of interaction mediates a significant proportion of the effect of ecological characteristics on community crime. Implications for community crime research are discussed.     

INFORMAL SURVEILLANCE AND STREET CRIME: A COMPLEX RELATIONSHIP*

The systemic crime model predicts that informal surveillance of space reduces street crime. Conversely, community decline theory posits that street crime reduces informal surveillance by increasing residents' perception of risk and fear. Moreover, functions of crime theory suggests that some types of crime may increase surveillance. Using data for 100 urban neighborhoods, the analysis examines these predictions and disentangles reciprocal effects. Baseline recursive equations indicate that informal surveillance is inversely associated with robbery/stranger assault, and that robbery/stranger assault is inversely associated with informal surveillance. In contrast, burglary rates are not affected by informal surveillance, but burglary has a positive effect on surveillance when robbery/stranger assault is controlled. Simultaneous equations indicate that robbery/stranger assault has a moderately strong inverse effect on informal surveillance, and that it is mediated by residents' perceptions of risk. When risk perception is controlled, informal surveillance has an inverse effect on robbery/stranger assault. The latter analysis also indicates that burglary increases surveillance, suggesting that some types of crime serve positive functions. The results, therefore, lend support to systemic, community decline, and functions of crime theory, and they suggest that the relationship between informal surveillance and crime is complex. Implications for community crime research are discussed.     

UP IT UP: GENDER AND THE ACCOMPLISHMENT OF STREET ROBBERY*

Attempts to understand women's participation in violence have been plagued by a tendency either to overemphasize gender differences or to downplay the significance of gender. The goal of this research is to reconcile these approaches through an examination of the experiences of female and male street robbers in an urban setting. Based on in-depth interviews with active offenders, the study compares women's and men's accounts of why they commit robbery, as well as how gender organizes the commission of the crime. The research suggests that while women and men articulate similar motives for robbery, their enactment of the crime is strikingly different—a reflection, in part, of practical choices women make in the context of a gender-stratified street setting.     

THE EFFECTS OF RESIDENTIAL TURNOVER ON HOUSEHOLD VICTIMIZATION*

Americans move frequently, and moving alters their risks of victimization. This study uses unique longitudinal, multilevel data from the 1980–1985 National Crime Survey to examine the effects of residential turnover on household victimization. The two major findings of the study are as follows: First, housing turnover is a transition that independently increases the risk that a dwelling will experience a crime. This finding is true even controlling for persistent differences in crime vulnerability between dwellings. Second, changes in the composition and routine activities of households also alter the risks of victimization. These findings provide support for social disorganization and crime opportunity theories.     

Examining the relationship between routine activities theory and social disorganization: An analysis of property crime victimization

A property crime victimization survey was conducted of households in both high and tow crime neighborhoods in one southern city. A response rate of 68.5% was obtained. The study tested the premises of both the routine activities and social disorganization theories as they contribute to the likelihood of property crime victimization at the individual level. It was found that routine activities theory explained 28% of the property crime variance in the socially disorganized area (high crime) while only explaining 11% of the same variance in the low crime area. Separate measurements were used to establish the level of social disorganization in the two geographical areas. The beta coefficients reveal that in the high crime area, those most likely to be property crime victims are white, single homeowners who are not at home from 6 p.m. to 11 p.m., who have relatives living in their neighborhoods, and who interact with their neighbors. These findings lend marginal support to the routine activities model.     

THE IMPACT OF ECONOMIC CONDITIONS ON ROBBERY AND PROPERTY CRIME: THE ROLE OF CONSUMER SENTIMENT*

Despite its long history in criminology, research on the relationship between macroeconomic conditions and rates of common crime remains limited. That is in part because many analysts doubt that any systematic relationship exists and in part because of disagreement with regard to the validity of the indicators typically used to measure economic conditions. We argue in this article that good theoretical reasons exist to expect macroeconomic effects on crime rates, but many theories imply that collective perceptions of economic hardship should have effects on crime that are independent of those of more “objective” economic indicators. To evaluate this argument, we examine the relationships between the Index of Consumer Sentiment and regional robbery, burglary, larceny, and motor vehicle theft rates in the United States between 1970 and 2003, which was a period of large swings in both consumer sentiment and instrumental crime. Controlling for several factors thought to influence temporal variation in crime rates, we find that consumer sentiment had significant effects on robbery and property crime rates over the period that were largely independent of the effects of unemployment and economic growth. We also find that consumer sentiment accounted for a sizable fraction of the crime decline during the 1990s and yields reasonably accurate predictions of changes in the four offenses in 2004 and in two of the four offenses in 2005. We conclude that the effects of collective economic perceptions should become an important focus of future research on crime trends.     

Reassessing the alcohol-violence linkage: Results from a multiethnic city

This article examines the relationship between alcohol availability and nonlethal violence at the census-tract level in Miami, a multiethnic city with high levels of disadvantage and immigration. The effects of alcohol (total outlet rate) are considered from the perspectives of social disorganization and routine activities theories. Nonlethal violence is the average annual rates of robbery, aggravated assault, and total violence (combined aggravated assault and robbery). The analyses include corrections for spatial autocorrelation. The results show that alcohol availability has strong positive effects on rates of nonlethal violence and that the percentage of recent immigrants is also a significant positive predictor.     

CONTROLLING DRUG AND DISORDER PROBLEMS: THE ROLE OF PLACE MANAGERS*

This article explores the role of place managers in controlling drug and disorder problems on 100 street blocks in Oakland, California. We use self-reports from a sample of place managers to explore their role in changing the social and physical conditions of street-block activity within the context of a randomized field trial in Oakland. On-site observations of the changes in the social and physical conditions of 100 street blocks were conducted and used as our outcome measures. Our results suggest that street blocks where place managers engaged in collective crime control activities had significantly fewer signs of disorder and greater levels of civil behavior. Our results also show that community cohesiveness on a street block was associated with fewer males selling drugs     

LAND USE AND VIOLENT CRIME*

Although research has shown specific land uses to be related to crime, systematic investigation of land uses and violent crime has been less common. This study systematically examines links between land uses and violent crime and assesses whether such links are conditioned by socioeconomic disadvantage. We employ geocoded Uniform Crime Report (UCR) data from the Indianapolis police department and information on 30 categories of land use and demographic information from the 2000 U.S. Census. We use land use variables to predict violent crime counts in 1,000 × 1,000‐feet grid cells using negative binomial regression models. Results indicate that, net of other variables, specific land uses predict variation in counts for individual violent crimes and aggregate rates. Some nonresidential land uses are associated with higher violent crime counts, whereas others are associated with lower counts. Specific land uses also condition the effects of socioeconomic disadvantage on violent crime. The implications for routine activity/opportunity and social disorganization/collective efficacy theories of crime are discussed.     

BARS,BLOCKS, AND CRIMES REVISITED: LINKING THE THEORY OF ROUTINE ACTIVITIES TO THE EMPIRICISM OF “HOT SPOTS”*

Anticipating recent developments in routine activities theory, Roncek and Bell (1981) found that bars and taverns had detrimental effects on crime on residential city blocks in Cleveland for 1970. We replicate and extend their work by examining the effects of recreational liquor establishments (i.e., taverns and cocktail lounges) on crime from 1979 to 1981 on Cleveland's residential city blocks. The number of such businesses on residential city blocks has positive and statistically significant effects on the amount of crime. The effects on crime are compounded when the businesses are located in areas with physical characteristics that are associated with more anonymity and lower guardianship. Our results reaffirm the value of new developments in routine activities theory that now stress the importance of facilities. They also extend recent work attempting to identify and analyze “hot spots” of crime.     

A quasi-experimental evaluation of the impact of bike-sharing stations on micro-level robbery occurrence

Objectives

To examine if the implementation of bike-sharing stations is linked to robbery occurrence in micro-level street corner units in Cincinnati, OH, USA.

Methods

Propensity score matching was used to select comparison street corner units. The effect of bike-sharing station implementation on robbery occurrence across weekly, biweekly, and monthly observations was estimated using repeated measures multi-level logistic regression models.

Results

Bike-sharing stations did not statistically significantly link to robbery occurrence in immediate or nearby street corner units after implementation.

Conclusions

Numerous explanations consistent with Crime Pattern Theory may explain the null effect of bike-sharing stations on robbery occurrence. Future research should continue to examine how changes in the urban backcloth, such as bike-sharing stations, impact geographic crime patterns.

     

The influences of incident and contextual characteristics on crime clearance of nonlethal violence: A multilevel event history analysis

Using multilevel event history analyses, this article investigates the effects of both incident and contextual (social disorganization and police resources) factors on crime clearance by arrest for robbery, forcible rape, and aggravated assault incidents in 106 cities. The analysis found that victim's age, the number of concomitant offenses and victims, victim's injury, and weapon use played important roles in crime clearance for all three types of nonlethal violent incidents. Among social disorganization variables, higher unemployment and racial segregation significantly decreased the odds of clearance for robbery and aggravated assault, but not for rape. Instead, higher divorce rates significantly decreased the odds of rape clearance. This suggests that social disorganization may play a different role in the clearance mechanisms for sexual than for nonsexual violent offenses. The effects of police resource variables on clearance were not significant in the expected direction for any of the three types of incidents.     

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.     

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.     

ROLE OF THE STREET NETWORK IN BURGLARS' SPATIAL DECISION‐MAKING*

Explaining why crime is spatially concentrated has been a central theme of much criminological research. Although various theories focus on neighborhood social processes, environmental criminology asserts that the physical environment plays a central role by shaping people's activity patterns and the opportunities for crime. Here, we test theoretical expectations regarding the role of the road network in shaping the spatial distribution of crime and, in contrast to prior research, disentangle how it might influence offender awareness of criminal opportunities and the supply of ambient guardianship. With a mixed logit (discrete choice) model, we use data regarding (N = 459) residential burglaries (for the first time) to model offender spatial decision‐making at the street segment level. Novel graph theory metrics are developed to estimate offender awareness of street segments and to estimate levels of ambient guardianship, distinguishing between local and nonlocal guardianship. As predicted by crime pattern theory, novel metrics concerning offender familiarity and effort were significant predictors of residential burglary location choices. And, in line with Newman's (1972) concept of defensible space, nonlocal (local) pedestrian traffic was found to be associated with an increase (decrease) in burglary risk. Our findings also demonstrate that “taste” preferences vary across offenders, which presents a challenge for future research to explain.     

Sanctuary Policies and City-Level Incidents of Violence, 1990 to 2010

Despite media coverage of isolated incidents of violent crime perpetuated by undocumented immigrants in cities with sanctuary policies, there is scant systematic research on the relationships between the adoption of sanctuary policies, unauthorized immigration, and crime. We compile city-level data from official sources and use fixed-effects negative binomial regression to examine whether the adoption of city-level sanctuary policies and the concentration of unauthorized Mexican immigrants are associated with homicide and robbery incidents in 107 U.S. cities, across three decades. We find evidence that the adoption of sanctuary policies is associated with a reduction in robberies but not homicide. In contrast, an increase in the relative size of a city’s unauthorized Mexican immigrant population corresponds with a reduction in homicide; however, only in sanctuary cities. Lastly, shifts in violence during our study period are consistently related to social structural characteristics of cities, which are findings consistent with social disorganization theory.     

REEXAMINING SOCIAL DISORGANIZATION THEORY USING CALLS TO THE POLICE AS A MEASURE OF CRIME*

This study examines social disorganization theory using calls to the police during 1980 in 60 Boston neighborhoods. These data, based on complainant reports of crime rather than official police reports, allow further investigation of differences in findings based on victimization data and official crime data. The rates of assault, robbery, and burglary are regressed on poverty, mobility, racial heterogeneity, family disruption, and structural density. Interaction terms for poverty and heterogeneity, poverty and mobility, and mobility and heterogeneity are also explored. Results from this study support findings from recent victimization studies and earlier ecological studies using official counts of crime. Poverty and heterogeneity, along with family disruption and structural density, are found to be important ecological variables for understanding the distribution of crime rates among neighborhoods.     

Community-level impacts of temperature on urban street robbery

Purpose

Conduct the first empirical intra-urban examination of community-level connections between street robbery and temperature. Examine whether community socioeconomic status (SES) and crime-relevant land uses strengthen or weaken the temperature impact. A theoretical framework relying on routine activity theory, crime pattern theory, and resident-based control dynamics organized predictions.

Data and methods

For Philadelphia census tracts (n = 381), monthly street robbery counts and temperature data for 36 consecutive months were combined with census and land use data, and analyzed with multilevel models.

Results

Community robbery counts were higher when temperatures were higher, and in lower SES communities. In support of previous work with property crime, but in contrast to previous work with assault, the effects of temperature were stronger in higher SES communities. In support of the integrated model, commercial land use prevalence and subway stations were associated with heightened temperature impacts on robbery.

Conclusions

Community-level fixed and random effects of temperature on urban robbery counts persist when controlling for land use and community structure; further, the random effects depend in part on both. There are implications for understanding indigenous guardianship or informal resident-based place management dynamics, and for planning seasonal police deployments.