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This article explores the reproduction of territorial stigmatization in the San Agustín neighborhood, located in Ecatepec, Mexico. Drawing on 21 months of ethnographic research, the article analyzes how territorial stigma is produced and reproduced through the discourses, practices, and interactions of multiple actors positioned at different levels. It argues that stigma unfolds internally as social differentiation, creating a normative structure based on criteria of moral superiority and inferiority. This is manifested in the use of derogatory social categories to refer especially to younger inhabitants and in forms of symbolic distancing among neighbors. The results underscore the moral dimension of stigma and its role in the construction of symbolic and social boundaries in contexts of urban relegation. The study concludes that the reproduction of stigma in the neighborhood is due to a structure based on criteria of superiority and inferiority among residents, which is sustained by a moral evaluation that normalizes the dominant urban symbolic order of central Mexico. [ABSTRACT FROM AUTHOR]

Abstract Urbanization and inequalities are two of the major policy themes of our time, intersecting in large cities where social and economic inequalities are particularly pronounced. Large scale street-level images are a source of city-wide visual information and allow for comparative analyses of multiple cities. Computer vision methods based on deep learning applied to street images have been shown to successfully measure inequalities in socioeconomic and environmental features, yet existing work has been within specific geographies and have not looked at how visual environments compare across different cities and countries. In this study, we aim to apply existing methods to understand whether, and to what extent, poor and wealthy groups live in visually similar neighborhoods across cities and countries. We present novel insights on similarity of neighborhoods using street-level images and deep learning methods. We analyzed 7.2 million images from 12 cities in five high-income countries, home to more than 85 million people: Auckland (New Zealand), Sydney (Australia), Toronto and Vancouver (Canada), Atlanta, Boston, Chicago, Los Angeles, New York, San Francisco, and Washington D.C. (United States of America), and London (United Kingdom). Visual features associated with neighborhood disadvantage are more distinct and unique to each city than those associated with affluence. For example, from what is visible from street images, high density poor neighborhoods located near the city center (e.g., in London) are visually distinct from poor suburban neighborhoods characterized by lower density and lower accessibility (e.g., in Atlanta). This suggests that differences between two cities is also driven by historical factors, policies, and local geography. Our results also have implications for image-based measures of inequality in cities especially when trained on data from cities that are visually distinct from target cities. We showed that these are more prone to errors for disadvantaged areas especially when transferring across cities, suggesting more attention needs to be paid to improving methods for capturing heterogeneity in poor environment across cities around the world.

Urbanization and inequalities are two of the major policy themes of our time, intersecting in large cities where social and economic inequalities are particularly pronounced. Large scale street-level images are a source of city-wide visual information and allow for comparative analyses of multiple cities. Computer vision methods based on deep learning applied to street images have been shown to successfully measure inequalities in socioeconomic and environmental features, yet existing work has been within specific geographies and have not looked at how visual environments compare across different cities and countries. In this study, we aim to apply existing methods to understand whether, and to what extent, poor and wealthy groups live in visually similar neighborhoods across cities and countries. We present novel insights on similarity of neighborhoods using street-level images and deep learning methods. We analyzed 7.2 million images from 12 cities in five high-income countries, home to more than 85 million people: Auckland (New Zealand), Sydney (Australia), Toronto and Vancouver (Canada), Atlanta, Boston, Chicago, Los Angeles, New York, San Francisco, and Washington D.C. (United States of America), and London (United Kingdom). Visual features associated with neighborhood disadvantage are more distinct and unique to each city than those associated with affluence. For example, from what is visible from street images, high density poor neighborhoods located near the city center (e.g., in London) are visually distinct from poor suburban neighborhoods characterized by lower density and lower accessibility (e.g., in Atlanta). This suggests that differences between two cities is also driven by historical factors, policies, and local geography. Our results also have implications for image-based measures of inequality in cities especially when trained on data from cities that are visually distinct from target cities. We showed that these are more prone to errors for disadvantaged areas especially when transferring across cities, suggesting more attention needs to be paid to improving methods for capturing heterogeneity in poor environment across cities around the world. [ABSTRACT FROM AUTHOR]

Using a multilevel modelling approach, this study investigates the impact of urban inequalities on changes to rail ridership across Chicago's "L" stations during the pandemic, the mass vaccination rollout, and the full reopening of the city. Initially believed to have an equal impact, COVID-19 disproportionally impacted the ability of lower socioeconomic status (SES) neighbourhoods' to adhere to non-pharmaceutical interventions: working-from-home and social distancing. We find that "L" stations in predominately Black or African American and Hispanic or Latino neighbourhoods with high industrial land-use recorded the smallest behavioural change. The maintenance of higher public transport use at these stations is likely to have exacerbated existing health inequalities, worsening disparities in users' risk of exposure, infection rates, and mortality rates. This study also finds that the vaccination rollout and city reopening did not significantly increase the number of users at stations in higher vaccinated, higher private vehicle ownership neighbourhoods, even after a year into the pandemic. A better understanding of the spatial and socioeconomic determinants of changes in ridership behaviour is crucial for policymakers in adjusting service routes and frequencies that will sustain reliant neighbourhoods' access to essential services, and to encourage trips at stations which are the most impacted to revert the trend of declining public transport use. [ABSTRACT FROM AUTHOR]

The rapid growth of home-based work raises questions about its long-term impacts on neighbourhoods and cities. By removing the need to commute, home-based work has the potential to advance the New Urbanism aspirations of walkable neighbourhoods in an urban village format where people live, work and play. Nonetheless, the uneven distribution of this emerging work practice, strongly associated with the socio-economic status of neighbourhoods, is exacerbating the risk of increased urban inequalities. This paper presents pre- and post-COVID data for the City of Gold Coast, Australia, and it discusses the urban distribution of home-based work by analysing the home-based workers’ locational preferences, their daily movement patterns, the preferred built environment outcomes, and the urban design features. The findings suggest that certain social and economic interactions tend to increase with the growth of remote work. These interactions, magnified by the COVID pandemic, offer opportunities to advance the New Urbanism aspirations of cohesive, walkable communities and neighbourhoods.

Copyright of Revista Brasileira de Estudos Urbanos e Regionais is the property of Associacao Nacional de Pos-Graduacao e Pesquisa em Planejamento Urbano e Regional and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, we bring issues of inequality as a cross-cutting principle to all SDGs with a critical perspective on power relations, exemplified through the relevant social question of housing. For this purpose, we have developed the inequality and poverty assessment model (IPAM), a systematic approach for streamlining problems and solutions within the SDG-framework in an inequality-sensitive way, serving as a guideline to screen topics for five dimensions of social and environmental justice: (a) distribution, (b) procedure and participation, (c) fairness in climate and environmental adaptation, (d) legitimacy and (e) recognition. Following a mixed-methods research design with expert interviews, stakeholder workshops, document analysis and an extensive literature review, we identify areas of concern, such as the interlinkage of energy efficient, affordable and climate-friendly housing, and elaborate on strategies and policy recommendations to support affordable and sustainable housing, in the specific context of urban (in)equalities in Austria. We recommend three sets of measures on the (I) De-commodification of housing by remunicipalisation, (II) De-commodification by spatial and building planning and regulated land use and (III) Strategies for more inclusive housing. [ABSTRACT FROM AUTHOR]

Despite varying conceptions of what co-production entails, there is a growing consensus in research, practice and public policy discourse that co-production is a preferred strategy for leveraging resources to deliver basic infrastructure services in low-income settlements. Using largely qualitative data, this paper explores the adaption of co-production in the low-income settlement of Hanna Nassif in Dar es Salaam, implemented 20 years ago by state actors, international agencies and grassroots actors, with attention to basic infrastructure and local employment. The findings reveal that co-production engendered partnerships and platforms and transformed sociocultural norms and values that made inroads toward urban equality in the settlement, although it failed to address inequalities among the partners, or to be replicated subsequently. The paper argues that meaningful co-production of basic infrastructure services in low-income settlements of the global South requires a focus on the context-specific pro-poor concerns and priorities. [ABSTRACT FROM AUTHOR]

Abstract Platform-based services are rapidly transforming urban work, lives and spaces around the world. The rise of platforms dependent on largely expendable labour relations, with significant migrant involvement, must be seen as connected, and as replicating larger social processes rather than merely technological changes. This perspective paper urgently calls for an intersectional perspective to better understand social-technical relations crossing the digital-urban interface of platform urbanism in contemporary European cities. Critics of platforms and gig work, to date, have mainly focused on algorithms-based social control, degraded working conditions, problematic employment relations and precariousness of gig work. The ongoing Covid-19 pandemic has both disrupted and amplified these issues, intensifying the vulnerability of gig workers. For example, in Sweden, migrant groups and gig workers were separately identified as being hardest hit by Covid, but with little attention to the interconnectivity between these categories, nor to how these groups are co-positioned vis-a-vis larger socio-economic inequalities. Thus, we argue for a deeper understanding of the social processes underlying platforms and for active investigation of how inequalities are being produced and/or maintained in/by these processes. Urban planners, designers and policy makers will need to actively address the hybrid (digital and physical) urban spaces produced in platform urbanism in order to prevent spatial and economic inequalities. We argue for a stronger recognition of interrelated and overlapping social categories such as gender and migrant status as central to the construction of mutually constitutive systems of oppression and discrimination produced in and through the platform urbanism.

The rapid growth of home-based work raises questions about its long-term impacts on neighbourhoods and cities. By removing the need to commute, home-based work has the potential to advance the New Urbanism aspirations of walkable neighbourhoods in an urban village format where people live, work and play. Nonetheless, the uneven distribution of this emerging work practice, strongly associated with the socio-economic status of neighbourhoods, is exacerbating the risk of increased urban inequalities. This paper presents pre- and post-COVID data for the City of Gold Coast, Australia, and it discusses the urban distribution of home-based work by analysing the home-based workers' locational preferences, their daily movement patterns, the preferred built environment outcomes, and the urban design features. The findings suggest that certain social and economic interactions tend to increase with the growth of remote work. These interactions, magnified by the COVID pandemic, offer opportunities to advance the New Urbanism aspirations of cohesive, walkable communities and neighbourhoods. [ABSTRACT FROM AUTHOR]

Hegemonic studies understand urban poverty as a consequence of an uneven distribution of resources differentially distributed throughout the city. In this context, this article aims at further understanding the production of urban inequalities and socio-spatial injustice through a Lefebvrian approach, which considers space as an active agent and not merely a physical environment. It proposes the use of the concept "urbanization of poverty", understood as the trialectic production of poverty through urbanization, leading to unjust geographies through processes of unequal geographic development and accumulation by dispossession. [ABSTRACT FROM AUTHOR]

The study of the spatial differentiation of COVID-19 in cities and its driving mechanism is helpful to reveal the spatial distribution pattern, transmission mechanism and diffusion model, and evolution mechanism of the epidemic and can lay the foundation for constructing the spatial dynamics model of the epidemic and provide theoretical basis for the policy design, spatial planning and implementation of epidemic prevention and control and social governance. Geodetector (Origin version, Beijing, China) is a great tool for analysis of spatial differentiation and its influencing factors, and it provides decision support for differentiated policy design and its implementation in executing the city-specific policies. Using factor detection and interaction analysis of Geodetector, 15 indicators of economic, social, ecological, and environmental dimensions were integrated, and 143 cities were selected for the empirical research in China. The research shows that, first of all, risks of both infection and death show positive spatial autocorrelation, but the geographical distribution of local spatial autocorrelation differs significantly between the two. Secondly, the inequalities in urban economic, social, and residential environments interact with COVID-19 spatial heterogeneity, with stronger explanatory power especially when multidimensional inequalities are superimposed. Thirdly, the spatial distribution and spread of COVID-19 are highly spatially heterogeneous and correlated due to the complex influence of multiple factors, with factors such as Area of Urban Construction Land, GDP, Industrial Smoke and Dust Emission, and Expenditure having the strongest influence, the factors such as Area of Green, Number of Hospital Beds and Parks, and Industrial NOx Emissions having unignorable influence, while the factors such as Number of Free Parks and Industrial Enterprises, Per-GDP, and Population Density play an indirect role mainly by means of interaction. Fourthly, the factor interaction effect from the infected person’s perspective mainly shows a nonlinear enhancement effect, that is, the joint influence of the two factors is greater than the sum of their direct influences; but from the perspective of the dead, it mainly shows a two-factor enhancement effect, that is, the joint influence of the two factors is greater than the maximum of their direct influences but less than their sum. Fifthly, some suggestions are put forward from the perspectives of building a healthy, resilient, safe, and smart city, providing valuable reference and decision basis for city governments to carry out differentiated policy design.

In the past 200 years, urban spaces have been imagined as neatly laid out, well-planned, sanitised and civilised places of dense human habitation with regulated economic activity, where political power, financial capital, the frontiers of knowledge and technology thrive. This has been the urban planners dream, even while it does not reflect the full reality, whether of cities in the LMICs or the HICs. In the face of such homogenising visions arising from Euro-American models, formal urban systems fail to provide adequately for residents' needs, who then carve out their own resources and processes for meeting them, largely within the domain of urban “informality.” While large part of literature presents urban informality as reflected in the slum, others have shown how it is found in relation to all classes (1). The concept of informality has largely been applied to the core dimensions of economic life of the city. Applied to people's “ways of life,” intermingling of the formal and informal becomes distinctly evident in everyday practices in locations such as the peri-urban, and in activities such as health care. This paper opens up the sphere of health care for urban planning that has, in recent decades, left it largely untouched. It uses data from a rapid assessment of health seeking behaviour of three socioeconomic groups—the middle class, slum-dwellers, and homeless— in Delhi, the capital city of India. The findings, relevant beyond the specific location, reveal that people of all sections resort to myriad informal arrangements for their health care, challenging the dominant connotation of the formal-informal denoting a legitimate-illegitimate dichotomy. This provides potential directions to bridge the formal-informal divide, to re-configure urban planning towards more sustainable futures with plural visions of land use and urban greening for healthier urban conditions and for health care provisioning. The analysis posits that, besides the economic and political relations shaping the formal and informal, the politics of knowledge must be factored in if the informal has to be adequately understood for building sustainable futures.

Copyright of Annali di Igiene, Medicina Preventiva e di Comunità is the property of Societa Editrice Universo s.r.l. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Urban space and inequalities should not be studied exclusively from objective materiality. It is necessary to considerer its as symbolic forms of relationship between society and territory. This article proposes to explore children’s language within the process of social construction of space. In doing so, several workshops conducted with children boys and girls from 7 to 12, living in segregated areas of the district of Peñalolen in Santiago de Chile are analyzed. The way of perception and expression of their living residence may contribute to deepen and reproduce such urban inequalities. Else ignorance and avoidance translates into poor or quasi-inexistent interactions, as a result of a lack of common spaces and highly differentiated socio-spatial identities.

The present study aims to identify inequalities concerning accessibility to urban green spaces within Iași city. In order to reach this purpose, the used methodology included walking time distance-based indicators, as well as demographic-load based indicators. The accessibility was assessed by means of Closest Facility and Service Area tools in ArcGIS for Desktop 10.1, while the demographic load was calculated by different specific indicators, based on the total area, pedestrian area and the number of benches for each urban green space. The results highlighted a great deficit in parks for the Iași city, as 25 % of the population is located at more than 12 minutes walking time distance from an urban green space and, at the same time, according to the calculated optimal demographic load, only 5% of the city population can be hosted by the existent parks. These mean values also contain important disparities, as the central and northern part of the city is by far more advantaged than the peripheral neighborhoods.

To lead an investigation in the peripheral zones of southern metropolis raises many challenges. The control of social relations between the investigator and its informants constitutes a first epistemological obstacle that can jeopardize the process of investigation, the example of El Alto, Bolivia reveals. In order to analyze urban inequalities from a scientific perspective, the implementation of a plurality of methods (cartography, statistics, questionnaires, etc.) may neutralize the effects of ethnographical interaction without erasing the meaning attributed by the residents to their action, and contribute to the construction of relevant indicators of marginality, especially in the case of family strategies for access to property that are structuring the expansion of urban peripheral areas.

This review examines disparities in access to urban green space (UGS) based on socioeconomic status (SES) and race-ethnicity in Global South cities. It was motivated by documented human health and ecosystem services benefits of UGS in Global South countries and UGS planning barriers in rapidly urbanizing cities. Additionally, another review of Global North UGS studies uncovered that high-SES and White people have access to a higher quantity of higher quality UGSs than low-SES and racial-ethnic minority people but that no clear differences exist regarding who lives closer to UGS. Thus, we conducted a systematic review to uncover (1) whether UGS inequities in Global North cities are evident in Global South cities and (2) whether inequities in the Global South vary between continents. Through the PRISMA approach and five inclusion criteria, we identified 46 peer-reviewed articles that measured SES or racial-ethnic disparities in access to UGS in Global South cities. We found inequities for UGS quantity (high-SES people are advantaged in 85% of cases) and UGS proximity (74% of cases). Inequities were less consistent for UGS quality (65% of cases). We also found that UGS inequities were consistent across African, Asian, and Latin American cities. These findings suggest that Global South cities experience similar inequities in UGS quantity and quality as Global North cities, but that the former also face inequities in UGS proximity.

The twentieth century witnessed spatial transformations in Brazil and in the United States. The late ingress of Brazil in capitalism determined the pattern of economic growth, distribution of wealth and the shape of regions and cities. The United States privileged position in postwar economy contributed to increase investments and add millions of consumers in domestic market. However, they have some common elements: both experienced industrial decentralization which changed the subnational economic balance; both have adopted urbanization patterns that reinforced social inequalities and both are using similar strategies to face the post-1970`s economic changes. Today, the urban and regional policy have been driven by guidelines that highlight elements such entrepreneurship, good governance as well a friendly land regulation to stimulate economic growth. But, the transplant of practices among countries do not consider its institutional features, political balances or living conditions. In a world supposedly without differences equality was replaced by efficiency. [ABSTRACT FROM AUTHOR]

Copyright of Educacao & Sociedade is the property of Centro de Estudos de Educacao e Sociedade and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The present study aims to identify inequalities concerning accessibility to urban green spaces within Iași city. In order to reach this purpose, the used methodology included walking time distance-based indicators, as well as demographic-load based indicators. The accessibility was assessed by means of Closest Facility and Service Area tools in ArcGIS for Desktop 10.1, while the demographic load was calculated by different specific indicators, based on the total area, pedestrian area and the number of benches for each urban green space. The results highlighted a great deficit in parks for the Iași city, as 25 % of the population is located at more than 12 minutes walking time distance from an urban green space and, at the same time, according to the calculated optimal demographic load, only 5% of the city population can be hosted by the existent parks. These mean values also contain important disparities, as the central and northern part of the city is by far more advantaged than the peripheral neighborhoods. [ABSTRACT FROM AUTHOR]

The analysis of the urban policies transformations helps to better understand the establishment of gated communities in different contexts. Our research has three Latin American cities as case studies: Buenos Aires, Sao Paulo and Puebla. It leads to a reflection on the meaning of democracy, equity and inequality in urban Latin America and the changing role of government in major cities of Latin America. Conclusively, we discuss the significance of political and administrative aspects of gated communities.

The study of the spatial differentiation of COVID-19 in cities and its driving mechanism is helpful to reveal the spatial distribution pattern, transmission mechanism and diffusion model, and evolution mechanism of the epidemic and can lay the foundation for constructing the spatial dynamics model of the epidemic and provide theoretical basis for the policy design, spatial planning and implementation of epidemic prevention and control and social governance. Geodetector (Origin version, Beijing, China) is a great tool for analysis of spatial differentiation and its influencing factors, and it provides decision support for differentiated policy design and its implementation in executing the city-specific policies. Using factor detection and interaction analysis of Geodetector, 15 indicators of economic, social, ecological, and environmental dimensions were integrated, and 143 cities were selected for the empirical research in China. The research shows that, first of all, risks of both infection and death show positive spatial autocorrelation, but the geographical distribution of local spatial autocorrelation differs significantly between the two. Secondly, the inequalities in urban economic, social, and residential environments interact with COVID-19 spatial heterogeneity, with stronger explanatory power especially when multidimensional inequalities are superimposed. Thirdly, the spatial distribution and spread of COVID-19 are highly spatially heterogeneous and correlated due to the complex influence of multiple factors, with factors such as Area of Urban Construction Land, GDP, Industrial Smoke and Dust Emission, and Expenditure having the strongest influence, the factors such as Area of Green, Number of Hospital Beds and Parks, and Industrial NOx Emissions having unignorable influence, while the factors such as Number of Free Parks and Industrial Enterprises, Per-GDP, and Population Density play an indirect role mainly by means of interaction. Fourthly, the factor interaction effect from the infected person's perspective mainly shows a nonlinear enhancement effect, that is, the joint influence of the two factors is greater than the sum of their direct influences; but from the perspective of the dead, it mainly shows a two-factor enhancement effect, that is, the joint influence of the two factors is greater than the maximum of their direct influences but less than their sum. Fifthly, some suggestions are put forward from the perspectives of building a healthy, resilient, safe, and smart city, providing valuable reference and decision basis for city governments to carry out differentiated policy design.