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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.

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.

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.

Landscape urbanism is articulated against the purported failures of traditional urban design practices to conceptualize adequately the transience, adaptability, and ecological complexity demanded by contemporary urbanism. This paper engages Giambattista Nolli’s 1748 map of Rome, a seminal example of the figure ground representational method, to highlight some contradictions in landscape urbanism’s texts and projects. Whereas the figure ground is often reduced to a binary black and white image, Nolli’s map illustrates the intertwining of public and private spaces, through rendering detailed attributes of site, infrastructure, history, and architecture. Also considered is the asser- tive restructuring of disciplinary influence within what Linda Pollak identifies as ‘con- structed ground.’ This reclamation constitutes a re-territorializing of landscape architecture through re-engagement of the urban fabric, as well as the more aspirational and necessary re-territorializing of design through intentional consideration of ecological complexity in the making of public urban spaces.

This study compares community-park design and residents' perceptions of safety in two subdivision communities in The Woodlands, Texas. The communities were built following two different planning approaches—the ecological approach and the conventional approach. Surveys have shown that residents generally feel safer in community parks built according to the latter approach. Using landscape metrics and home-to-park proximity indicators, we examine how different planning approaches affect park design and, as a result, influence residents' perceptions of safety. We cross-validated the results with survey studies conducted over several years. The study findings suggest that park location, spatial configuration of woody vegetation, and management of understory can be important design considerations that impact residents' perceived levels of safety. Park designers and managers should also consider providing parks that meet diverse needs and balance the requirements of ecological preservation, aesthetics, and cultural preference.

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.

The article explores relationships among urban form, human activities and socio-economic-cultural features in Danwei compound. With Jingmian compound, a typical Danwei compound in Beijing, as a case study, the researcher studies urban form in open spaces from a socio-economic-cultural perspective. In addition, residents' activities are discussed. The research shows that open space form reflects features and transitions of Chinese society from sociological and economic perspectives. This article also proves the validity of thorough micro space form investigation.

Urban agriculture (UA) is spreading across vacant and marginal land worldwide, embraced by government and civil society as source of food, ecosystems services and jobs, particularly in times of economic crisis. ‘Metabolic rift' is an effective framework for differentiating UA's multiple origins and functions across the Global North and South. I examine how UA arises from three interrelated dimensions of metabolic rift—ecological, social and individual. By rescaling production, reclaiming vacant land and ‘de-alienating’ urban dwellers from their food, UA also attempts to overcome these forms of rift. Considering all three dimensions is valuable both for theory and practice.

The global public spaces literature has been critical of contemporary manifestations of public space on a number of grounds. This article reports on a research project that attempted to gauge the validity of these critiques through an examination of new and regenerated public spaces in London. The article introduces the dominant critiques around public space before outlining the mixed-methods approach used to interrogate them. The key findings from this work are summarised before the nature of contempo- rary public space is re-theorised in a more avowedly positive and pragmatic manner than is often the case, one that celebrates a return of a public spaces paradigm through tentatively advancing a new narrative and set of normative principles for public space generation. The work concludes that a more balanced view of public space is required, one that recognises the multiple complex types, roles and audiences for public spaces in cities today.

Previous gang research has focused primarily on the attributes of individuals who join gangs. This ecological study of violent urban youth gangs examines the social, economic, and physical organization of places where gangs locate. Our goal is to understand those features of communities that either facilitate the formation of gangs or insulate an area from gang formation. By interviewing gang members and having them map places where they came together as a sociological group to “hang out,” we study what we label as the “set space” of gangs. Our study is analogous to criminological studies of where criminal acts occur rather than of the factors that lead an individual to commit criminal acts. This study indicates that gang set space is usually a very small geographic area, much smaller than neighborhoods or even census tracts. A probability (logit) model estimates the influence of various local area attributes on the presence of violent youth gangs in census block groups. Diminished social control—in the absence of capable guardians and physical abandonment of place—and underclass features increase the likelihood of observing violent youth gangs hanging out in a particular area.

The authors seek to extend the literature on inequalities and exclusion in the nighttime economy through a rhythmic analysis of visitor presence in public space in nightlife districts in the city centres of the Dutch cities of Groningen, Utrecht, and Rotterdam. Substantial inequalities in visitor presence, based on race/ethnicity and gender, are demonstrated. In the cities considered, racial/ethnic inequalities vary more in spatial terms, and gender inequalities fluctuate more heavily over the course of the night. Overall, however, the findings support the argument that exclusion from the nighttime economy needs to be understood in temporal—ecological terms. Multiple drivers, or pacemakers, of rhythmic inequalities rooted in race/ethnicity and gender are identified, including opening hours and revellers' collective habits. For advocates of greater diversity among nighttime-economy participants, the analysis suggests that neither a more varied supply of nightlife premises, nor more surveillance and policing, are straightforward solutions: a strong orientation of premises toward university students and urban professionals may promote gender-based inclusion, but deters nonwhite revellers, and more police on the street may empower women to move through a nightlife district unaccompanied yet reduce the inclination to do so among racial/ethnic minorities.

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.

Since the early 2000s, the proliferation of cameras, whether in mobile phones or CCTV, led to a sharp increase in visual recordings of human behavior. This vast pool of data enables new approaches to analyzing situational dynamics. Application is both qualitative and quantitative and ranges widely in fields such as sociology, psychology, criminology, and education. Despite the potential and numerous applications of this approach, a consolidated methodological frame does not exist. This article draws on various fields of study to outline such a frame, what we call video data analysis (VDA). We discuss VDA’s research agenda, methodological forebears, and applications, introduce an analytic tool kit, and discuss criteria for validity. We aim to establish VDA as a methodological frame and an interdisciplinary analytic approach, thereby enhancing efficiency and comparability of studies, and communication among disciplines that employ VDA. This article can serve as a point of reference for current and future practitioners, reviewers, and interested readers.

The growing proportion of human populations living in urban areas, and consequent trends of increasing urban expansion and densification fuel a need to understand how urban form and land use affect environmental quality, including the availability of urban green spaces. Here we use Sheffield as a case study of city-wide relationships between urban green space extent, quality (vegetation cover and tree-cover), and gradients in urban form and topography. The total area of buildings and length of the road network are equally strong negative predictors of extent of green space, while the former predictor is amore important negative influence upon green space quality. Elevation positively influences extent of green space but negatively influences tree-cover. In contrast, slope of terrain positively influences green space quality and is the best predictor of tree-cover. Overall housing density is a more important negative predictor of extent of green space and tree-cover than the densities of individual housing types. Nevertheless, the latter are more important influences upon levels of vegetation cover. Threshold effects of densities of different housing types suggest opportunities for optimising green space quality, with implications for housing policy. Variation in ecological quality of green space may partly reflect different historical intensities of industrial activity.

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.

Visiting urban parks regularly can provide significant physical and mental health benefits for children and teenagers, but these benefits are tempered by park quality, amenities, maintenance, and safety. Therefore, planning and public health scholars have developed instruments to measure park quality, but most of these tools require costly and time consuming field surveys and only a handful focus specifically on youth. We rectify these issues by developing the QUality INdex of Parks for Youth (QUINPY) based on a robust literature review of studies on young people’s park visitation habits and an extensive validation process by academic and professional experts. Importantly, the QUINPY relies on publicly available geospatial data to measure park quality. We then successfully pilot test the QUINPY in Denver and New York City. We believe that park agencies, planning consultants, researchers, and nonprofits aiming to assess park quality will find this tool useful. The QUINPY is particularly promising given the increasing amount of publicly available geospatial data and other recent advancements in geospatial science.

The Irvine Minnesota Inventory (IMI) was designed to measure environ- mental features that may be associated with physical activity and particularly walking. This study assesses how well the IMI predicts physical activity and walking behavior and develops shortened, validated audit tools. A version of the IMI was used in the Twin Cities Walking Study, a research project measuring how density, street pattern, mixed use, pedestrian infrastructure, and a variety of social and economic factors affect walking. Both bivariate and multivariate analyses were used to assess the predictive value of the IMI. We find that while this inventory provides reliable measurement of urban design features, only some of these features present associations with increased or decreased walking. This article presents two versions of shortened scales—a prudent scale, requiring association with two separate measures of a physical activity or walking behavior, and a moderate scale, requiring association with one measure of physical activity or walking. The shortened scales provide built environment audit instruments that have been tested both for inter- rater reliability and for associations with physical activity and walking. The results are also useful in showing which built environment variables are more reliably associated with walking for travel—characteristics of the sidewalk infrastructure, street crossings and traffic speeds, and land use are more strongly associated with walking for travel, while factors that measure aesthetics are typically less strongly associated with walking for travel.