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The neighborhoods in which children grow up have consequences for their short‐ and long‐term well‐being. Although most neighborhood research measures disadvantage at the census tract level, more proximate physical characteristics of neighborhoods may be more relevant indicators of neighborhood quality for the well‐being of young children. Using the Fragile Families and Child Wellbeing Study, this study explores the association between these more proximate indicators of neighborhood physical disorder measured across childhood (ages 3 to 9) and early delinquency at age 9. Descriptive results (N = 2,989) indicate that exposure to neighborhood physical disorder across childhood is common among children in urban areas. Multivariate analyses suggest that exposure to neighborhood physical disorder, particularly for older children, is strongly associated with a higher likelihood of engagement in early delinquent behaviors, over and above family and census tract‐level measures of disadvantage. Associations remain robust to numerous supplementary analyses and alternate specifications.

(no abstract available) Introduction: There are significant differences in physical inactivity in various geographical areas and among demographic groups. Previous research suggests that walking is the most common form of physical activity; however, not all built environments support walking for recreational or transportation purposes. Objective: The purpose of this study was to assess the extent to which area-level factors, poverty rate and racial distribution, are associated with aspects of the street-scale environment (i.e. sidewalk walkability and physical disorder) using community audits.

Ordinary kriging, a spatial interpolation technique, is commonly used in social sciences to estimate neighborhood attributes such as physical disorder. Universal kriging, developed and used in physical sciences, extends ordinary kriging by supplementing the spatial model with additional covariates. We measured physical disorder on 1,826 sampled block faces across four U.S. cities (New York, Philadelphia, Detroit, and San Jose) using Google Street View imagery. We then compared leave-one-out cross-validation accuracy between universal and ordinary kriging and used random subsamples of our observed data to explore whether universal kriging could provide equal measurement accuracy with less spatially dense samples. Universal kriging did not always improve accuracy. However, a measure of housing vacancy did improve estimation accuracy in Philadelphia and Detroit (7.9 percent and 6.8 percent lower root mean square error, respectively) and allowed for equivalent estimation accuracy with half the sampled points in Philadelphia. Universal kriging may improve neighborhood measurement.

The collection of large-scale administrative records in electronic form by many cities provides a new opportunity for the measurement and longitudinal tracking of neighborhood characteristics, but one that will require novel methodologies that convert such data into research-relevant measures. The authors illustrate these challenges by developing measures of “broken windows” from Boston’s constituent relationship management (CRM) system (aka 311 hotline). A 16-month archive of the CRM database contains more than 300,000 address-based requests for city services, many of which reference physical incivilities (e.g., graffiti removal). The authors carry out three ecometric analyses, each building on the previous one. Analysis 1 examines the content of the measure, identifying 28 items that constitute two independent constructs, private neglect and public denigration. Analysis 2 assesses the validity of the measure by using investigator-initiated neighborhood audits to examine the “civic response rate” across neighborhoods. Indicators of civic response were then extracted from the CRM database so that measurement adjustments could be automated. These adjustments were calibrated against measures of litter from the objective audits. Analysis 3 examines the reliability of the composite measure of physical disorder at different spatiotemporal windows, finding that census tracts can be measured at two-month intervals and census block groups at six-month intervals. The final measures are highly detailed, can be tracked longitudinally, and are virtually costless. This framework thus provides an example of how new forms of large-scale administrative data can yield ecometric measurement for urban science while illustrating the methodological challenges that must be addressed.

This article assesses the sources and consequences of public disorder. Based on the videotaping and systematic rating of more than 23,000 street segments in Chicago, highly reliable scales of social and physical disorder for 196 neighborhoods are constructed. Census data, police records, and an independent survey of more than 3,500 residents are then integrated to test a theory of collective efficacy and structural constraints. Defined as cohesion among residents combined with shared expectations for the social control of public space, collective efficacy explains lower rates of crime and observed disorder after controlling neighborhood structural characteristics. Collective efficacy is also linked to lower rates of violent crime after accounting for disorder and the reciprocal effects of violence. Contrary to the “broken windows” theory, however, the relationship between public disorder and crime is spurious except perhaps for robbery.

Residents in a neighborhood view physical disorders as a potential incubator for negative incidents. Even though the disorders may not directly bring serious crime to the neighborhood, the poor physical conditions may affect residents in other ways, including increases in perceived physical disorder and fear of crime and decreases in neighborhood satisfaction. Focusing on the effects of physical disorder, this study examined the underlying associations between the actual upkeep, perceived upkeep, and neighborhood satisfaction using a structural equation model. The findings confirmed interrelationships be- tween factors; confirmed that as some categories of actual upkeep improved, perceived upkeep and neighborhood satisfaction improved; confirmed that as perceived upkeep improved, perceived safety from crime and neighborhood satisfaction improved; and confirmed that as perceived safety from crime improved, neighborhood satisfaction improved. The structural equation model showed that actual physical upkeep factors each had indirect effects on perceived upkeep, safety from crime, and neighborhood satisfaction.

There is growing evidence that residents are more likely to walk in attractive neighbourhoods, and that negative visual cues can deter residents from engaging in physical activity. This study explored the premise that house design and upkeep could inhibit the incidence of physical disorder in suburban streets, thus contributing to a more pleasant walking environment for pedestrians. Street segments (n 1⁄4 443) in new residential developments (n 1⁄4 61) in Perth, Western Australia, were audited for house attributes that facilitate natural surveillance (e.g., porch/verandah) or indicate territoriality (e.g., garden/ lawn upkeep), and physical incivilities. A composite index of street-level house attributes yielded highly significant associations with disorder (trend test p 1⁄4 0.001) and graffiti (trend test p 1⁄4 0.005), signifying that the cumulative effect of several key attributes had greater potential to discourage incivilities in the street than any single characteristic. The findings suggest house design and upkeep may contribute to the creation of safe, inviting streets for pedestrians.

A lack of collective efficacy in neighborhood is associated with social and physical disorder and related anti-social actions. It is less clear, however, whether collective efficacy in neighborhood also enhances prosocial, other-regarding behavior. We studied this association by employing the Lost Letter Technique in a large-scale field experiment. Our data stem from 1,240 letters dropped in a representative sample of 110 Dutch neighborhoods, combined with neighborhood data based on a survey of residents (SSND2, n=996) and information provided by Statistics Netherlands. We distinguish between two conditions (1) location of the lost letter, that is, behind a car's windshield wiper on the sidewalk; and (2) type of addressee, that is, a Dutch name or a Turkish/Moroccan name. When we decompose collective efficacy into social cohesion and shared expectations of social control, we find that shared control expectations clearly matter for the rate of posted letters. Social cohesion has no effect. Furthermore, a high percentage of non-Western residents, high residential mobility, and a relatively low local income level are negatively related to the rate of posted letters.

This paper considers the quantitative assessment of ecological settings such as neighborhoods and schools. Available administrative data typically provide useful but limited information on such settings. We demonstrate how more complete information can be reliably obtained from surveys and observational studies. Survey-based assessments are constructed by aggregating over multiple item responses of multiple informants within each setting. Item and rater inconsistency produce uncertainty about the setting being assessed, with definite implications for research design. Observation-based assessments also have a multilevel error structure. The paper describes measures constructed from interviews, direct observations, and videotapes of Chicago neighborhoods and illustrates an “ecometric” analysis—a study of bias and random error in neighborhood assessments. Using the observation data as an illustrative example, we present a three-level hierarchical statistical model that identifies sources of error in aggregating across items within face-blocks and in aggregating across face-blocks to larger geographic units such as census tracts. Convergent and divergent validity are evaluated by studying associations between the observational measures and theoretically related measures obtained from the U.S. Census, and a citywide survey of neighborhood residents.

There are two purposes to the present study. Our methodological purpose is to develop and test a procedure and instrument for assessing crime- and fear-related features of the urban residential environment. We examine three classes of cues: symbols of social and physical disorder, territorial functioning, and architectural 'defensible space' features. Past research examining the physical environment correlates of fear of crime has relied almost exclusively on subjective perceptions of the environment rather than on independent and objective measures thereof. Our theoretical purpose is to test the 'disorder' thesis of Skogan, and Wilson and Kelling, that actual physical incivilities erode resident's confidence in their neighborhood and lead them to infer that serious local problems, unrelated to the physical environment, are serious. We conducted environmental assessments and resident interviews (n = 412) on 50 blocks in 50 Baltimore neighborhoods. The assessments demonstrated high levels of inter-rater reliability and concurrent validity, controlling for social class. Regression analyses showed that physical incivilities were independently linked to perceptions of social and crime-related problems. The results show that reliable and valid assessment of crime- and fear-related environmental features can be conducted. They also support the central kernel of the Wilson and Kelling, and Skogan thesis, that the actual presence of disorder-related cues engender perceptions of social and crime problems.