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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.

Despite the fact that virtual environments are increasingly deployed to study the relation between urban planning, physical and social disorder, and fear of crime, their ecological validity for this type of research has not been established. This study compares the effects of similar signs of public disorder (litter, warning signs, cameras, signs of vandalism and car burglary) in an urban neighborhood and in its virtual counterpart on the subjective perception of safety and livability of the neighborhood. Participants made a walking tour through either the real or the virtual neighborhood, which was either in an orderly (baseline) state or adorned with numerous signs of public disorder. During their tour they reported the signs of disorder they noticed and the degree to which each of these affected their emotional state and feelings of personal safety. After finishing their tour they appraised the perceived safety and livability of the environment. Both in the real and in the simulated urban neighborhood, signs of disorder evoked associations with social disorder. In all conditions, neglected greenery was spontaneously reported as a sign of disorder. Disorder did not inspire concern for personal safety in reality and in the virtual environment with a realistic soundscape. However, in the absence of sound disorder compromised perceived personal safety in the virtual environment. Signs of disorder were associated with negative emotions more frequently in the virtual environment than in its real-world counterpart, particularly in the absence of sound. Also, signs of disorder degraded the perceived livability of the virtual, but not of the real neighborhood. Hence, it appears that people focus more on details in a virtual environment than in reality. We conclude that both a correction for this focusing effect and realistic soundscapes are required to make virtual environments an appropriate medium for both etiological (e.g. the effects of signs of disorder on fear of crime) and intervention (e.g. CPTED) research.

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.

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.

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.

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 study systematically examines the physical context of crime on urban residential blocks. A conceptual framework for understanding the relationship of the objective permanent (defensible space) and transient (territorial markers and incivilities) physical environment and the subjective environment to crime is presented. Forty-eight blocks were selected from three working-class urban neighborhoods. Data were obtained from four sources: a telephone survey of 1081 randomly sampled residents, a 15-month follow-up survey (n = 471), block-level police records of 1190 crime complaints, and the Block Booster Environmental Inventory--a new procedure for objectively measuring physical signs of disorder, territoriality and the built environment of 576 homes on all 48 blocks. Five different indicators of block crime were used: perceived crime and delinquency, reported serious and 'quality-of-life' crimes, and surveyed victimization rate. All data were aggregated to the block level. Although the various measures of crime were not consistently intercorrelated, objective environmental items correlated more strongly and consistently with the crime indicators than did the subjective environment, even after controlling for the demographic profile of the block. Defensible space features of the built environment, demographics and, to a lesser extent, the transient environment (disorder and territoriality) contributed significant variance to a series of regression equations explaining up to 60% of the variance in block crime. Implications for environmental criminology and for community policing and crime prevention are discussed.

In the last ten years environmental sociologists have started to explore the relations between human behavior and the physical environment. This study tests some of the ideas of Jane Jacobs on how neighboring and crime are affected by physical diversity in cities. While neighboring and crime are found to be related to diversity as defined by Jacobs, neighboring is not related to crime, which is also predicted by her theory. The implications for urban planning are considered.

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.

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 study examined what factors best predict residents’ concerns about neighborhood safety. One-hundred and twenty-two participants were selected from a large, Midwestern metropolitan area. All participants lived in high crime areas. Participants completed a 22-item questionnaire that assessed their perceptions of neighborhood safety and vigilance. These items were clustered as: 1) Community care and vigilance, 2) neighborhood safety concerns, 3) physical incivilities, and 4) social incivilities. Police crime data were also used in the analyses. Our findings suggest that aspects of the broken window theory, collective efficacy, and place attachments/territoriality play a role in affecting residents’ concerns about neighborhood safety.

Feeling maps survey and map people's emotional responses to their environment as they walk through the streets of a particular urban area. This study describes the first application of feeling maps in long-term, ethnographic field research. It was conducted in Mitzpe Ramon, a small town in Israel's Negev Desert Highlands. Over the course of one year, an ethnographer individually accompanied 55 participants with diverse social characteristics on a set of seven walking routes. These routes included neighborhood spaces, open public spaces, and at least one view of the surrounding natural desert landscape. The locations where between two and seven participants spontaneously reported experiencing strong feelings (positive, negative, or mixed) based on a numerical rating scale and open-ended narration were identified as "affective clusters." Results suggest that people's shared feelings about specific places are influenced by the particular physical properties and characteristics of a given place. Making a contribution to cognitive mapping and environmental preference techniques, feeling maps enable researchers to share a participant's position and views of the landscape as he or she articulates emotions and memories related to those views. Replicable in any setting, this technique could be used to create and maintain spaces that are attractive, inviting, and emotionally pleasing variety of users.

This paper assesses and synthesizes the cumulative results of a new “neighborhood-effects” literature that examines social processes related to problem behaviors and health-related outcomes. Our review identified over 40 relevant studies published in peer-reviewed journals from the mid-1990s to 2001, the take-off point for an increasing level of interest in neighborhood effects. Moving beyond traditional characteristics such as concentrated poverty, we evaluate the salience of social-interactional and institutional mechanisms hypothesized to account for neighborhood-level variations in a variety of phenomena (e.g., delinquency, violence, depression, high-risk behavior), especially among adolescents. We highlight neighborhood ties, social control, mutual trust, institutional resources, disorder, and routine activity patterns. We also discuss a set of thorny methodological problems that plague the study of neighborhood effects, with special attention to selection bias. We conclude with promising strategies and directions for future research, including experimental designs, taking spatial and temporal dynamics seriously, systematic observational approaches, and benchmark data on neighborhood social processes.

The policing of the anti-poll tax campaign allows an insight into how protest is incorporated. Protestors were both accommodated and coerced as police sought to balance various threats of 'trouble.' Concessions and overt assistance were offered as a means of 'winning over' the protest organizers, whilst legal conditions were imposed to ensure that any threat of disorder was contained. This analysis suggests that notions of an ubridled shift towards a more confrontational style of policing in the wake of the Public Order Act are unfounded. It illustrates the relationship between institutional and interactional social processes, for institutional considerations limit the police's room for manoeuvre, whilst low-level decisions by police officers themselves have implications for those institutions.

A number of recent studies have used surveys of neighborhood informants and direct observation of city streets to assess aspects of community life such as collective efficacy, the density of kin networks, and social disorder. Raudenbush and Sampson (1999a) have coined the term “ecometrics” to denote the study of the reliability and validity of such assessments. Random errors of measurement will attenuate the associations between these assessments and key outcomes. To address this problem, some studies have used empirical Bayes methods to reduce such biases, while assuming that neighborhood random effects are statistically independent. In this paper we show that the precision and validity of ecometric measures can be considerably improved by exploiting the spatial dependence of neighborhood social processes within the framework of empirical Bayes shrinkage. We compare three estimators of a neighborhood social process: the ordinary least squares estimator (OLS), an empirical Bayes estimator based on the independence assumption (EBE), and an empirical Bayes estimator that exploits spatial dependence (EBS). Under our model assumptions, EBS performs better than EBE and OLS in terms of expected mean squared error loss. The benefits of EBS relative to EBE and OLS depend on the magnitude of spatial dependence, the degree of neighborhood heterogeneity, as well as neighborhood's sample size. A cross-validation study using the original 1995 data from the Project on Human Development in Chicago Neighborhoods and a replication of that survey in 2002 show that the empirical benefits of EBS approximate those expected under our model assumptions; EBS is more internally consistent and temporally stable and demonstrates higher concurrent and predictive validity. A fully Bayes approach has the same properties as does the empirical Bayes approach, but it is preferable when the number of neighborhoods is small.

Although a number of environmental and policy interventions to pro- mote physical activity are being widely used, there is sparse systematic information on the most effective approaches to guide population-wide interventions. Methods: We reviewed studies that addressed the following environmental and policy strat- egies to promote physical activity: community-scale urban design and land use policies and practices to increase physical activity; street-scale urban design and land use policies to increase physical activity; and transportation and travel policies and practices. These systematic reviews were based on the methods of the inde- pendent Task Force on Community Preventive Services. Exposure variables were classified according to the types of infrastructures/policies present in each study. Measures of physical activity behavior were used to assess effectiveness. Results: Two interventions were effective in promoting physical activity (community-scale and street-scale urban design and land use policies and practices). Additional information about applicability, other effects, and barriers to implementation are provided for these interventions. Evidence is insufficient to assess transportation policy and practices to promote physical activity. Conclusions: Because com- munity- and street-scale urban design and land-use policies and practices met the Community Guide criteria for being effective physical activity interventions, implementing these policies and practices at the community-level should be a priority of public health practitioners and community decision makers.

The objective was to investigate associations between features of the physical environment and neighborliness. Measures of the physical environment, including sidewalks, front porches, traffic-calming devices, bars on windows, and the presence of litter or graffiti, were collected using a systematic audit instrument in 10 neighborhoods in Portland, Oregon. Generalized linear regression models were created to model the odds of increasing neighborliness given access to the physical-environment factors of interest. The authors observed a greater probability of higher levels of neighborliness as the total number of positive physical-environment characteristics increased (cumulative odds ratio [95% confidence interval] = 1.69 [1.16, 2.45]) and the results were unchanged after controlling for race, self-reported health, perception of safety, years of neighborhood residence, age of house, market value of house, and proportion of homeowners in neighborhood. Modifiable features of the physical environment may be one mechanism through which people can enhance neighborliness.