Not so Simple: Examining the Gendered Nature of Intimate Partner Assault Victimizations.

Although prior research has established a relationship between neighborhood structure and intimate partner violence (IPV), much of this literature focuses on serious IPV, despite the fact that less serious forms of IPV comprise the majority of IPV instances. Further, women are far more likely to experience all types of IPV victimization relative to men, especially simple assault, yet the relative importance of neighborhood structure across gradations of IPV and victim sex is relatively unexplored. We use data from Los Angeles, CA, and disaggregate IPV assaults across victim sex to examine whether neighborhood factors have differential effects on simple and aggravated IPV. We find differential effects of neighborhood structure by victim sex, especially for simple assault. Most notably, we find that neighborhood racial composition has significantly greater effects on females relative to male victims of simple IPV assault, while residential stability is protective of women more so than men. Only the percent of vacant or owner-occupied housing was specific to male simple IPV victimization. This suggests that neighborhood-based interventions should differ depending on the type of IPV being targeted.

Neighborhood predictors of the gendered structure of non-lethal violent interactions.

Women are playing an increasing role in violent crime, both as offenders and victims. Yet, little research has examined how neighborhood structural characteristics might explain this involvement, or who women victimize relative to men. Drawing upon theories of social disorganization, strain, and a subculture of violence, we examine macro-level variation in the type and frequency of within and across group violence between men and women. Analyses are based on aggravated assaults and robberies reported to the Los Angeles Police Department between 2001 and 2007. Neighborhood disadvantage has a greater impact on women perpetrating violence against other women relative to any other sex dyad. Family structural variables are particularly important for understanding rates of within group robberies among women, and highlight that multiple measures of family structure are important for understanding gendered differences in rates of violent crime across dyads.

Investing in Neighborhoods: The Mitigating Role of Home Mortgage Loans on Intimate Partner Violence.

Prior research examining how macro-level factors contribute to aggregate rates of intimate partner violence (IPV) across neighborhoods has focused almost exclusively on economic disadvantage or residential instability. Fewer studies have assessed what structural factors might ameliorate rates of domestic violence, such as economic investment. Housing investment improves communities by increasing the number of homeowners, who tend to be more committed to the neighborhood and more likely to develop strong social ties with other residents. The benefits of strong socially connected communities should extend to IPV victims, as studies have shown that female IPV victims tend to be less connected with their social environment and live in less supportive communities. This study examines the influence of external economic investment through home mortgage loans on the number of IPV incidents in a neighborhood and whether an influx of investment mitigates the negative effects of structural conditions on IPV. We examine these issues using panel data on home loan investment among neighborhoods in Cleveland, Ohio, between 1995 and 2010 to predict female and male domestic assault victimization rates. We find that the number of home purchase loans in a neighborhood has no appreciable impact on the level of IPV incidents, but as the average dollar amount of investment increases, the number of IPV incidents significantly decreases. This relationship is moderated by the neighborhood level of disadvantage: in highly disadvantaged neighborhoods, even low average dollar amounts contribute to a reduction in the number of female victims of domestic assault, but the same relationship is not apparent for male victims or in low disadvantaged neighborhoods. Our findings suggest that investment is important for disrupting the relationship between neighborhood structure and IPV, and implementing place-based strategies to encourage homeownership, particularly in disadvantaged neighborhoods, will be especially impactful.

Structuring the Invisible War: Base and Community Influences on Military Sexual Assault Occurrence.

INTRODUCTION: This study examined the relationship between military sexual assault and structural factors including base (e.g., base density) and community (e.g., economic deprivation) characteristics. METHODS: Data on military sexual assault against men and women for fiscal years 2013-2016 were drawn from Sexual Assault Prevention and Response Office's 2017 report, "Sexual Assault Received at Military Installations and Combat Areas of Interest." Base information was pulled from fiscal years 2012 and 2013 Department of Defense's Base Structure Reports. Community-level information was drawn from 5-year American Community Survey estimates (2008-2012). Analyses were conducted in 2019. Negative binomial models were used to examine predictors of military sexual assault. RESULTS: Compared with civilian personnel, higher concentrations of military personnel on bases increased military sexual assault (incident rate ratio=1.01, p=0.025). Compared with Air Force-controlled installations, Navy and Marine bases were associated with higher military sexual assault prevalence (incident rate ratio=2.22, p<0.001; incident rate ratio=2.38, p<0.001, respectively). Community economic disadvantage was inversely related to military sexual assault (incident rate ratio=0.69, p=0.001), whereas residential mobility (incident rate ratio=1.07, p=0.002), percentage of racial/ethnic minorities (incident rate ratio=1.02, p=0.024 black; incident rate ratio=1.03, p<0.001 Hispanic), and percentage of residents who are veterans (incident rate ratio=1.13, p<0.001) were positively related to military sexual assault. CONCLUSIONS: Military sexual assault prevalence is associated with the structural characteristics of military installations and characteristics of the communities in which these installations are located. Findings suggest that further research on structural predictors of military sexual assault is needed and prevention programs and services may benefit from more community engagement.

Disentangling the reciprocal relationship between change in crime and racial/ethnic change.

Prior research has found that racial/ethnic change and residential instability are positively related to neighborhood crime. However, the process of racial/ethnic change differentially influences crime above and beyond residential instability. While both processes affect crime through the disruption of existing social ties, racial/ethnic change has additional consequences for crime by heightening racial/ethnic tensions and undercutting cross-group interactions. This means racial/ethnic change is a different process than residential instability, and suggests that neighborhoods experiencing high rates of instability and high rates of racial/ethnic change may be particularly susceptible to crime. Therefore, we examine the influence of racial/ethnic compositional change on change in crime across different levels of residential instability. Further, we argue that demographic change and crime may be influencing each other simultaneously: increases in the crime rate and racial/ethnic compositional change impact each other at the same time. To capture this process, we employ a structural equation model (SEM) that accounts for the reciprocal and simultaneous relationship between racial/ethnic change and violent and property crime rates in Los Angeles, California between 1990 and 2000. We also account for the influence of change in spatially proximate communities. Results show robust evidence that increases in racial/ethnic change contributes to greater violent and property crime rates, but the reciprocal influence of crime on racial/ethnic change is contingent upon the degree to which a neighborhood is experiencing residential instability and crime type.

The spatial context of the disorder-crime relationship in a study of Reno neighborhoods.

This study extends the current research on the relationship between neighborhood disorder and violent crime rates by incorporating spatial effects and the reciprocal relationship between disorder and violent crime. In particular, we test for both the potential effect of disorder on violence as well as how changes in violent crime rates can impact neighborhood levels of disorder. We control for a variety of factors related to social disorganization theory that can lead to crime and potentially disorder. In order to disentangle these relationships, we use a cross-lagged auto-regressive structural equation model and a unique dataset comprised of calls for police service and reported incidents for 117 neighborhoods in Reno, NV. We find that higher rates of disorder lead to significant, but modest, increases in violent crime, but only aggravated assaults lead to increases in disorder. These effects hold true above and beyond the effect of social disorganization and the influence of spatially proximate neighborhoods.