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Scholarship in urban sociology has pointed to the reliance of city governments on ever-more market mechanisms for organizing social and economic policy. This form of governance involves prioritizing cities’ cultural and social assets for their value in a global competition of urban “brands,” each competing for new infusions of human and investment capital. At the same time, however, cities have been at the center of seemingly progressive policy efforts aimed at promoting innovation, sustainability, and creativity. These themes represent a newly dominant planning discourse in cities across the globe. While researchers have thoroughly examined how “creative classes” and “creative cities” may exclude everyday, working-class, or poor residents, new urban imaginaries focused on sustainability potentially imply less stratified urban outcomes. Analyzing two high-profile interventions in Buenos Aires, Argentina—a sustainable urban regeneration plan for the historic downtown, and the creation of an arts cluster in the impoverished south of the city—this paper argues that despite divergent narratives, creative and sustainable urban projects suggest similar policy agendas, planning assumptions, and relationships to market mechanisms. Increasingly, global policies, whose design and objectives may appear to contradict market logics, may have outcomes that further them.

This article examines the relationship between immigration and urban renewal in Naples during the 1990s through the conflicting representations and uses of Piazza Garibaldi, a large piazza located in front of the city’s central railway station. As well as the hub of the city’s public transport network, since the mid-1980s this piazza has been the multifunctional space for a number of immigrant groups. Re-envisioned as the ‘gateway’ to the city’s regenerated centro storico (historic centre) during the 1990s, the piazza became a focus of public debates on security, tourism and, in particular, immigration. I examine how these issues intersected with political discourses about a renewed sense of citizenship in redefining the piazza as a strategic but problematic public space. Drawing on ethnographic fieldwork and analysis of local newspaper reports, the article looks at the ways in which the piazza has been appropriated by different immigrant groups for social and economic purposes, and how, at the same time, they have been excluded from discourses about a ‘new’ Naples.

What constructs are used to characterize public space? This paper analyzes residents’ percep- tions of public space, using data from Visakhapatnam (usually referred to as “Vizag”), India— a city of 1.3 million people on the Bay of Bengal. Extensive interviews, 37 in number, were conducted, using composite group sampling. The sample was drawn from all socioeconomic levels of employees, managers, and associates, at a large industrial plant. The interview sched- ules contained open-ended questions eliciting residents’ perceptions of public space, and their demographics. Qualitative analyses and quantitative tabulations were carried out. Concep- tualizing sense of place in terms of the distinguishing features of the urban environment, a comparison was made between the perception of public space in Vizag and in Western developed countries. The research indicates that lower socioeconomic status people have as complex a conception of public space as do those of high socioeconomic status, provided that the interview schedule is designed to elicit these data. Residents differentiated areas by socio- economic status, and by land use, i.e., industrial, commercial, and residential. Preeminent con- cerns—with pollution, crowding, health, and religion—represent much of what is psychologi- cally salient about public space in Vizag. These findings are in contrast with the salient characteristics of public space in Western cities, as found by prior research. We believe that these findings have policy implications for urban planners and leaders.

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.

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 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.

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.

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.

While the age of physical environments is the central tenet of historic preservation, there is a lack of empirical evidence about how everyday people actually value, perceive, and experience age as an intrinsic part of an urban environment. In order to ameliorate this knowledge deficit, this study employs phenomenology to understand the lived experience of being in a “new” versus an “old” or “historic” urban residential environment. The new environment is the I’On new urbanist development in Mt. Pleasant, South Carolina, and the old environment is the location of the United States’ first historic district in Charleston, South Carolina. These locations are approximately within five miles of each other. In both places, the physical characteristics of the built environment are remarkably similar in density, form, layout, and design, but the age is dramatically different. Through photo elicitation techniques and interviews, the results of this study reveal that residents of historic Charleston and I’On value their built environments in remarkably similar ways. Surprisingly, elements that evoke a strong sense of attachment tend to be landscape features, such as gates, fountains, trees, and gardens rather than buildings. The informants valued the “mystery” that they felt was part of the landscape and which consisted of layered elements such as fences, gates, and paths, such that these features (including buildings) had to be “discovered.” Lastly, the informants strongly valued landscapes that showed “people care” through regular maintenance. The essential difference in people’s experience and valuation of the new environment (I’On) and the old environment (historic Charleston) is in the older environment’s ability to instill creative fantasies in the minds of the informants based on a hypothetical past of their own creation. The informants in I’On did not share these kinds of meanings.

Throughout the centuries Beirut has had an endless capacity for reinvention and transformation, a consequence of migration, conquest, trade, and internal conflict. The last three decades have witnessed the city center's violent self-destruction, its commercial resurrection, and most recently its national contestation, as oppositional political forces have sought to mobilize mass demonstrations and occupy strategic space. While research has been directed to the transformative processes and the principal actors involved, little attention has been given to how the next generation of Lebanese are negotiating Beirut's rehabilitation. This article seeks to address this lacuna, by exploring how postwar youth remember, imagine, and spatially encounter their city. How does Beirut's rebuilt urban landscape, with its remnants of war, sites of displacement, and transformed environs, affect and inform identity, social interaction, and perceptions of the past? Drawing on Henri Lefebvre's analysis of the social construction of space (perceived, conceived, and lived) and probing the inherent tensions within postwar youths’ encounters with history, memory, and heritage, the article presents a dynamic and complex urban imaginary of Beirut. An examination of key urban sites (Solidère's Down Town) and significant temporal moments (Independence Intifada) reveals three recurring tensions evident in Lebanese youth's engagement with their city: dislocation and liberation, spectacle and participant, pluralism and fracture. This article seeks to encourage wider discussion on the nature of postwar recovery and the construction of rehabilitated public space, amidst the backdrop of global consumerism and heritage campaigns.

In this study we examine the spatial practices and lived experiences of an understudied subgroup, observant Muslim women of Arab descent, to explore the extent to which they experience representation and inclusion in the context of Brooklyn, New York. In an attempt to provide a more in-depth understanding of space, we utilize a phenomenological approach in which gender is central. We conceptualize our analysis based on Lefebvre’s spatial triad. The narratives of the women in this study elucidate how they interpret and navigate publicly accessible urban spaces as women marked by both ethnicity and religious difference in a multicultural city such as New York. Our study finds that the physical accessibility of public spaces, the aspect that planners tend to emphasize, matters for the observant Muslim women in this study both in ways with which planners are familiar and in other ways. The main aspects of physical accessibility that facilitated their sense of inclusion and engagement in Bay Ridge public spaces are the ease of getting around, often called ‘walkability’ in planning circles, the extent of access to mass transit, and the types of destinations in the area. Streetlights and the openness of public spaces were also critical to participants’ lived experiences, as was the presence of a number of women wearing the Islamic headscarf. The latter enabled participants to become active actors in space because they marked a place as culturally, religiously, and socially appropriate for them. Participants’ lived experiences (representational space) in turn shaped and were shaped by the characteristics of physical space. For example, well-lit open spaces enabled their spatial engagement because this made them visible to the community and at the same time allowed them to see the community. For immigrant women the Arabic landscape of the neighborhood marked by the Arabic signage, the Arabic language being spoken, and women wearing the Islamic headscarf provided them an opportunity to communicate with other women who share their cultural and religious values (spatial practice), and thereby to experience a safe space of normalcy (representational space).

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.