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Streets have become dangerous, unlivable environments, yet most people live on them. Streets need to be redefined as sanctuaries; as livable places; as communities; as resident territory; as places for play, greenery, and local history. Neighborhoods should be protected, though not to the point of being exclusionary. The neighborhood unit, the environmental area and the Woonerf are examined as models for the protected neighborhood. The criteria for a protected neighborhood depend on acceptable speeds, volumes, noise levels, reduction of accidents, and rights-of-way for pedestrians.

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.

In recent years, a greater emphasis on user analysis and public participation in park planning has resulted in a greater scrutiny of the standards and guidelines used to establish and/or develop park areas within a community. The insensitivity of past "service area" approaches to meet the needs of neighborhood constituencies has created a demand to examine alternative approaches to defining neighborhood boundaries and the subsequent location of neighborhood parks. Two techniques that have been useful in accurately defining neighborhood boundaries and predicting use and nonuse of existing park facilities are examined.

This article examines park use in relation to neighborhood social (safety and poverty) and urban form (pedestrian infrastructure and street network pattern) characteristics among youth and adult subpopulations defined by age and gender. We utilized System for Observing Play and Recreation in Communities (SOPARC) and Geographic Information Systems to objectively measure park use and park and neighborhood characteristics in 20 neighborhood parks. Heterogeneous negative binomial regression models indicated that the relationship between park use and types of activity settings, and park use and neighborhood attributes vary by age and gender. In general, the study found that park and activity setting size; activity settings such as playgrounds, basketball courts, pool and water features, shelters, and picnic areas; and availability of sidewalks and intersections in the park’s neighborhood were positively associated with park use, whereas crime, poverty, and racial heterogeneity of the surrounding neighborhood were negatively associated with park use.

While research on business improvement districts (BIDs) has considered the constraints BIDs can place on the negotiation of public space and citizenship, little work has focused on the process of establishing neighborhood BIDs (NBIDs), and few scholars have examined perceptions of public space held by actual neighborhood constituents. This article analyzes a participatory mapping project and messages on a neighborhood e-mail list to compare the visions of place expressed by disempowered community members and by an NBID proposal. Our analysis illuminates how local power relations and inequalities can become inscribed in urban planning projects like NBIDs.

The focus of this paper is the strategies of civic actors in a central Tokyo neighborhood to claim a voice in managing changes to their community and creating shared meanings for neighborhood streets and public spaces. In Yanaka an active community movement has worked to protect and improve shared community spaces by celebrating them as a historic legacy and a shared community resource, investing new and more complex values and claims on shared spaces, and redefining public streets as civic spaces in their neighborhood. They assert the rights of community participation in managing urban change by creating a neighborhood constitution, organizing art events and festivals in the streets, engaging new participants in shared property rights, proposing new criteria for evaluating urban change, and telling stories of a strong and distinct community. Claiming ownership of the meaning and management of local public spaces is a political strategy of self empowerment by community groups that has been relatively successful in this case.

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.

Creating “community” has long been a goal of urban planners. Although such rhetoric abounds in planning circles, what it all means is unclear. In this article, the authors review the community psychology and urban plan- ning literature, defining sense of community within the context of how the built environment might facilitate or impede it. They then present their research, which tests the effects of “main street” on sense of community in four San Francisco neighborhoods. Results indicate that respondents in neighborhoods exhibiting characteristics of a main street town (Bernal Heights and West Portal) have significantly higher sense of community than do respondents from a high-density neighborhood (Nob Hill) and from a more suburban-style city neighborhood (Sunset).

Urban sociologists and criminologists have maintained housing’s importance in providing individuals with a sense of security within their neighborhood. Yet it remains unclear whether all types of housing provide this sense of safety in the same way. This article provides an analysis of the relationship between dwelling type and fear of crime. Data from the 2009 Canadian General Social Survey are analyzed. Results suggest that living in a multiunit dwelling has no statistically significant impact on fear of crime in the neighborhood; however, individuals living in high-rise and low-rise residences are less likely to be fearful of crime while at home in the evening. One possible explanation for these findings is the fortress effect: High-rise buildings isolate individuals in physical space, providing security in the home, and creating physical and social distance from the rest of the neighborhood. The implications of these findings are discussed.

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.

Drawing on the social disorganization tradition and the social ecological perspective of Jane Jacobs, the authors hypothesize that neighborhoods composed of residents who intersect in space more frequently as a result of routine activities will exhibit higher levels of collective efficacy, intergenerational closure, and social network interaction and exchange. They develop this approach employing the concept of ecological networks—two-mode networks that indirectly link residents through spatial overlap in routine activities. Using data from the Los Angeles Family and Neighborhood Survey, they find evidence that econetwork extensity (the average proportion of households in the neighborhood to which a given household is tied through any location) and intensity (the degree to which household dyads are characterized by ties through multiple locations) are positively related to changes in social organization between 2000–2001 and 2006–2008. These findings demonstrate the relevance of econetwork characteristics—heretofore neglected in research on urban neighborhoods—for consequential dimensions of neighborhood social organization.

Increasingly, scholars suggest thinking of the street as a social space, rather than just a channel for movement. Studies that address the relationships between social behavior and environmental quality of the street tend to separate the study of physical features from land uses and hence do not address the interrelationships between behavioral patterns and physical features of the street and its sociability. This article is an empirical examination of behavioral responses of people to the environmental quality of neighborhood commercial streets. Structured and semistructured observations are used to study stationary, lingering, and social activities on three neighborhood commercial streets. Eleven land use and physical characteristics of buildings and the street are identified based on the literature review and extensive observations. These are measured and tested to understand which characteristics support stationary, lingering, and social activities. The findings reveal that people are equally concerned with the social, land use, and physical aspects of the street. Seating provided by businesses, seating provided by the public authorities, businesses that are community places, personalized street fronts, and sidewalk width particularly contribute to stationary and social activities on neighborhood commercial streets.

There has been considerable debate over "New Urbanism" as a design strategy for adapting physical space to human needs. Among the interesting questions is whether people are willing to pay a premium to be able to live in areas characterized by New Urbanism design principles. If so, this willingness should be reflected in housing values. We test the hypothesis that urban design, specifically the design attributes associated with New Urbanism, are reflected in housing prices, using a data set for Haifa, Israel. House sales from 1988 through 1996 are analyzed for three neighborhoods in which there are similar socioeconomic compositions, public services, schools, property taxes, and other amenities. One of the neighborhoods has many characteristics of New Urbanism design, while the other two are more traditional urban or suburban developments. Hedonic regression analysis is used to control structure-specific characteristics, and an analysis of the regression values across neighborhoods shows a statistically significant price premium in the New Urbanism neighborhood. The evidence suggests that persons are willing to pay for living in a New Urbanism neighborhood, other things held equal.

A medium-density planned neighborhood designed for a centrally located piece of urban land in the 1970s invoked some specific social-mix targets for the residential population of some 850 dwelling units. The site plan was developed in accordance with explicit planning principles derived from the Pattern Language by C. Alexander et al. A postoccupancy evaluation of residents' status, attitudes, and behaviors suggests that the design of a successful environment for a socioeconomic population mix involves a delicate balance between privacy and community. Such a balance is more complex and requires more careful design and more subtle innovation than the simple "if-then" logic of the Patterns used in planning this neighborhood.

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.

In this article, we extend research on neighborhood social isolation by (1) examining residents of disadvantaged and advantaged communities and (2) considering the character of neighborhoods where people conduct routine activities away from home. We contend that social isolation is experienced by residents of both highly disadvantaged and highly advantaged neighborhoods because the two groups spend time in largely nonoverlapping parts of the city. Individual and neighborhood race-ethnic dynamics exacerbate such social isolation. Data from the Los Angeles Family and Neighborhood Survey show that social isolation is experienced by residents of all areas of the city, whether highly disadvantaged or advantaged. African Americans, Latinos and residents of areas with many Latinos suffer additional penalties in the social isolation of disadvantage in where they conduct routine activities.

Critics have long denounced the design of suburban communities for fostering political apathy. We disaggregate the concept of suburban design into four distinct attributes of neighborhoods. We then use tract-level Census data, the Social Capital Community Benchmark Survey, and multilevel models to measure the relationship between these design features and political participation. Certain design aspects common in suburban neighborhoods are powerful predictors of reduced political activity, illustrating a potential link between neighborhood design and politics. Yet low-density environments appear to facilitate some types of participation. Suburban designs vary, and so do their likely impacts on political participation.

To what extent does the density of the tree cover in a city relate to the amount of social capital among neighbors? To address this question, we linked social survey data (N = 361) from the Baltimore Ecosystem Study with socioeconomic, urban form, and green space data at the census block group level using a geographic information system. We found a systematically positive relationship between the density of urban tree canopy at the neighborhood block group level and the amount of social capital at the individual level (r = .241, p < .01). Multiple regression analyses showed that tree canopy added a 22.72% increase in explanatory power to the model for social capital. This research adds a new variable—neighborhood tree canopy—to the typologies of green space that affect human social connection. Trees are a relatively inexpensive and easy intervention to enhance the strength of social ties among neighbors.

How can the connection between public space and sense of community be evaluated? This paper asserts that, as a starting point, the measurement of the physical dimension of public space must be accomplished. Conceptually, the translation between public space and building sense of community, here defined as "the sense of belongingness, fellowship, 'we-ness,' identity, etc., experienced in the context of a [geographically based] collective" (Buckner, 1988:773),1 is seen as consisting of three interrelated dimensions. This paper describes the first dimension, the physical characteristics of public space, by offering a methodology for measuring public space differentials at the neighborhood level. Analysis of public space will thus be facilitated by a better characterization of the public domain: how does one neighborhood have "more" public space than another, constituting what some might view as a superior public realm? The method offered in this paper utilizes a particular vocabulary designed to measure aspects of the public realm which are seen, theoretically, as contributing to increased resident interaction and sense of community. The method builds on the work of Owens (1993) and Southworth and Owens (1993) to provide a practical measure of the "public realm." The goal is to facilitate the discussion of the use, meaning, and role of public space by delineating, in pragmatic terms, the geographic dimension of public life and how it varies from one neighborhood to the next. The basis of this differentiation are the public space design components embedded in new urbanist theory.

Latino immigrant presence in urban neighborhoods has been linked with reduced neighborhood cohesion in social disorganization-based ethnic heterogeneity hypotheses and enhanced cohesion in immigration revitalization approaches. Using the 2000–2002 Los Angeles Family and Neighborhood Survey and the 1994–1995 Project on Human Development in Chicago Neighborhoods Community Survey, we explore the association between Latino immigrant concentration and both levels of, and agreement about, neighborhood collective efficacy. Findings from multilevel models with heteroskedastic variance indicate that Latino immigrant concentration exhibits a nonlinear association with collective efficacy. At low levels, increases in Latino immigrant concentration diminish collective efficacy, consistent with a heterogeneity hypothesis. The negative association between Latino immigrant concentration and collective efficacy declines in magnitude as immigrant concentration increases and, particularly in LA, becomes positive beyond a threshold, consistent with an immigration revitalization effect. We also find an inverse nonlinear pattern of association with the variance of collective efficacy. At low levels, increasing Latino immigrant concentration increases the variance of collective efficacy (reflecting more disagreement), but beyond a threshold, this association becomes negative (reflecting increasing agreement). This pattern is observed in both LA and Chicago. The prevalence of social interaction and reciprocated exchange within neighborhoods explains a modest proportion of the Latino immigrant concentration effect on mean levels of collective efficacy in Chicago, but does little to explain effects on the mean in LA or effects on the variance in either LA or Chicago. These findings offer insight into the complex role Latino immigrant presence plays in shaping neighborhood social climate.