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1. Triple Disadvantage: Neighborhood Networks of Everyday Urban Mobility and Violence in U.S. Cities

   https://doi.org/10.1177/0003122420972323  

   Levy, Brian L. ; Phillips, Nolan E. ; Sampson, Robert J. ( December 2020 , American Sociological Review)

   null (Ed.)

   This article develops and assesses the concept of triple neighborhood disadvantage. We argue that a neighborhood’s well-being depends not only on its own socioeconomic conditions but also on the conditions of neighborhoods its residents visit and are visited by, connections that form through networks of everyday urban mobility. We construct measures of mobility-based disadvantage using geocoded patterns of movement estimated from hundreds of millions of tweets sent by nearly 400,000 Twitter users over 18 months. Analyzing nearly 32,000 neighborhoods and 9,700 homicides in 37 of the largest U.S. cities, we show that neighborhood triple disadvantage independently predicts homicides, adjusting for traditional neighborhood correlates of violence, spatial proximity to disadvantage, prior homicides, and city fixed effects. Not only is triple disadvantage a stronger predictor than traditional measures, it accounts for a sizable portion of the association between residential neighborhood disadvantage and homicides. In turn, potential mechanisms such as neighborhood drug activity, interpersonal friction, and gun crime prevalence account for much of the association between triple disadvantage and homicides. These findings implicate structural mobility patterns as an important source of triple (dis)advantage for neighborhoods and have implications for a broad range of phenomena beyond crime, including community capacity, gentrification, transmission in a pandemic, and racial inequality. 

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2. Illuminating associations between parenting and deleterious neighborhood characteristics via exhaustive modeling

   https://doi.org/10.1111/jomf.12871  

   Burt, S. Alexandra ; Thaler, Daniel ; Shewark, Elizabeth A. ; Pearson, Amber L. ; Anaya, Carolina ; Tomlinson, Rachel C. ; Neiderhiser, Jenae M. ; Klump, Kelly L. ; Lonstein, Joseph S. ( July 2022 , Journal of Marriage and Family)

   Our goal was to illuminate associations between specific characteristics of under‐resourced neighborhoods (i.e., socioeconomic deprivation, danger) and specific aspects of parenting (e.g., parental praise, parental nurturance, harsh parenting, and parental control).

   Prior work has highlighted associations between level of neighborhood disadvantage and the parenting of its residents. However, this work has yet to clarify the specific characteristics of the neighborhood or the types of parenting involved.

   Exhaustive modeling analyses were conducted in a sample of 1030 families of twins (average age 8 years; 51% male, 49% female; the racial composition was 82% White, 10% Black, 1% Asian, 1% Indigenous, 6% multiracial) from the Twin Study of Behavioral and Emotional Development in Children. Neighborhood and parenting were assessed using multiple informants and assessment strategies (neighborhood informants, family informants, administrative data, and videotaped parent–child interactions).

   Neighborhood socioeconomic deprivation (i.e., limited institutional and economic structural resources) demonstrated small but consistent negative associations with positive parenting behaviors and maternal control, but not with negative parenting behaviors. Neighborhood danger (i.e., recorded crime, fear of crime, exposure to community violence), by contrast, demonstrated weaker associations with parenting that dissipated once we controlled for overlap with socioeconomic deprivation.

   Danger and socioeconomic deprivation do not function as interchangeable characteristics of under‐resourced neighborhoods, at least in terms of their association with positive parenting. Future studies should identify the specific mechanisms through which neighborhood socioeconomic deprivation is associated with less nurturing parenting.

    

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3. The U.S. Racial Structure and Ethno-Racial Inequality in Urban Neighborhood Crime, 2010–2013

   https://doi.org/10.1177/2332649220948551  

   Krivo, Lauren J. ; Lyons, Christopher J. ; Vélez, María B. ( August 2020 , Sociology of Race and Ethnicity)

   Stark ethno-racial differences in reported neighborhood crime are a major facet of contemporary U.S. inequality. However, the most generalizable research on neighborhood inequality in crime across cities is only for 2000. Many of the underpinnings of crime have changed since 2000—increases in socioeconomic segregation, the Great Recession and attendant housing crisis, the continuation of the crime decline, shifting trends in incarceration and other types of social control, and small decreases in racial residential segregation. We provide a much-needed assessment of whether ethno-racial reported neighborhood crime disparities have increased, remained stable, or decreased in the contemporary period. We invoke a racial structural perspective that traces ethno-racial disparities in neighborhood crime to the divergent community conditions emblematic of the U.S. racial hierarchy. Using newly collected data for 8,557 neighborhoods in 71 large U.S. cities for 2010–2013, we demonstrate that violent and property crime is lower in White, African American, Latino, minority, and multiethnic neighborhoods than in 2000. However, smaller relative decreases in African American neighborhoods widened the relative crime gap from other ethno-racial communities. Supporting the racial structural perspective, large ethno-racial inequalities in neighborhood well-being account for most of the crime gaps, with disadvantage and residential lending being most important. This suggests that non-White neighborhoods need economic investments to reduce the harmful and inequitable consequences of neighborhood crime.

    

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4. Residents manage dynamic plant communities: Change over time in urban vegetation

   https://doi.org/10.3389/fevo.2022.944803  

   Wheeler, Megan M. ; Larson, Kelli L. ; Cook, Elizabeth M. ; Hall, Sharon J. ( December 2022 , Frontiers in Ecology and Evolution)

   Introduction Integrated social and ecological processes shape urban plant communities, but the temporal dynamics and potential for change in these managed communities have rarely been explored. In residential yards, which cover about 40% of urban land area, individuals make decisions that control vegetation outcomes. These decisions may lead to relatively static plant composition and structure, as residents seek to expend little effort to maintain stable landscapes. Alternatively, residents may actively modify plant communities to meet their preferences or address perceived problems, or they may passively allow them to change. In this research, we ask, how and to what extent does residential yard vegetation change over time? Methods We conducted co-located ecological surveys of yards (in 2008, 2018, and 2019) and social surveys of residents (in 2018) in four diverse neighborhoods of Phoenix, Arizona. Results 94% of residents had made some changes to their front or back yards since moving in. On average, about 60% of woody vegetation per yard changed between 2008 and 2018, though the number of species present did not differ significantly. In comparison, about 30% of woody vegetation changed in native Sonoran Desert reference areas over 10 years. In yards, about 15% of woody vegetation changed on average in a single year, with up to 90% change in some yards. Greater turnover was observed for homes that were sold, indicating a “pulse” of management. Additionally, we observed greater vegetation turnover in the two older, lawn-dominated neighborhoods surveyed despite differences in neighborhood socioeconomic factors. Discussion These results indicate that residential plant communities are dynamic over time. Neighborhood age and other characteristics may be important drivers of change, while socioeconomic status neither promotes nor inhibits change at the neighborhood scale. Our findings highlight an opportunity for management interventions, wherein residents may be open to making conservation-friendly changes if they are already altering the composition of their yards. 

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5. Leveraging network representation learning and community detection for analyzing the activity profiles of adolescents

   https://doi.org/10.1007/s41109-022-00461-3  

   Gurukar, Saket ; Boettner, Bethany ; Browning, Christopher ; Calder, Catherine ; Parthasarathy, Srinivasan ( May 2022 , Applied Network Science)

   Human mobility analysis plays a crucial role in urban analysis, city planning, epidemic modeling, and even understanding neighborhood effects on individuals’ health. Often, these studies model human mobility in the form of co-location networks. We have recently seen the tremendous success of network representation learning models on several machine learning tasks on graphs. To the best of our knowledge, limited attention has been paid to identifying communities using network representation learning methods specifically for co-location networks. We attempt to address this problem and study user mobility behavior through the communities identified with latent node representations. Specifically, we select several diverse network representation learning models to identify communities from a real-world co-location network. We include both general-purpose representation models that make no assumptions on network modality as well as approaches designed specifically for human mobility analysis. We evaluate these different methods on data collected in the Adolescent Health and Development in Context study. Our experimental analysis reveals that a recently proposed method (LocationTrails) offers a competitive advantage over other methods with respect to its ability to represent and reflect community assignment that is consistent with extant findings regarding neighborhood racial and socio-economic differences in mobility patterns. We also compare the learned activity profiles of individuals by factoring in their residential neighborhoods. Our analysis reveals a significant contrast in the activity profiles of individuals residing in white-dominated versus black-dominated neighborhoods and advantaged versus disadvantaged neighborhoods in a major metropolitan city of United States. We provide a clear rationale for this contrastive pattern through insights from the sociological literature.

    

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