Urban Segregation Research Articles

Quantifying the Visuo-Perceptual Segregation Between Ortabayır and Levent District in Istanbul through Semantic Segmentation

Urban segregation has always been a critical problem affecting citizens’ socio-cultural equality. Although the issue has been widely investigated, recent methodological perspectives based on machine learning techniques can provide alternative viewpoints while contributing to precise findings. This study highlights the urban segregation problem in the context of Levent and Ortabayir districts in Istanbul while reviewing the existing literature on the relevant issue of segregation. The study aims to elaborate on the visual and perceptual segregation between Levent and Ortabayir while providing quantitative evidence. This study applies semantic segmentation of street view images and scene ratings to quantify visuo-perceptual segregation. The dataset for semantic segmentation contains 150 street view images for both Levent and Ortabayır regions. Seven semantic label criteria are decided, such as nature, pavement, road, sky, buildings, people, and cars, to outline the basic visual qualities of the urban environment. The street view scenes are evaluated on a 7-Likert scale by fifty raters who are asked to focus on the scenes’ safety and beauty perceptual qualities. We applied comparison analysis to detect the statistical similarities and variations and correlation analyses to investigate the associative trends between virtual and perceptual variables. This study distinguishes itself from the existing literature by adopting the machine learning method to asses the segregation problem between Levent and Ortabayir through semantic labels. Our approach contributes to the literature with its methodology and the quantitative, precise segregation findings. This study confirms the segregation between Levent and Ortabayir with their visual and perceptual qualities and illustrates the discrete visuo-perceptual features of both regions. This study shows that segregation appears in the selected regions on both inter-regional and intra-regional scales.

Urban heat islands’ effects on the thermo-energy performance of buildings according to their socio-economic factors

Urban areas experience the urban heat island (UHI) effect, which affects the thermal comfort and energy consumption of buildings. These consequences could vary depending on the socio-economic status of the neighbourhoods. Few studies have investigated how UHI affects socio-economically contrasting districts in thermal comfort and energy performance. Therefore, the primary goal of this research is to evaluate and compare the energy efficiency and thermal comfort conditions of residential buildings in the same city (Temuco, Chile) but located in socio-economically contrasting neighbourhoods. Urban weather files were first modelled in four urban zones using UWG software. Also, EnergyPlus building simulations were conducted to evaluate discomfort hours in adaptive comfort models and energy performance. The results showed annual average UHI intensities between 1.5 and 2.5 K. Urban–rural cooling energy load differences ranged between 12.47% and 38.92%, while heating energy load differences ranged between -20.47% and -81.95%. These distinctions depended on the urban zone, residence model analysed, or energy building standard applied. Similarly, urban-rural differences in thermal comfort times varied from 0.5% to 100%. Results illustrate that the risk of overheating could increase in socio-economically vulnerable areas. This issue could worsen if urban segregation continues to generate poor urban design in low-income districts.

Has urban expansion alleviated working-residential spaces segregation across inner-outer cities? A multi-scale study with location-based social bigdata

Working-residential spaces segregation has become a pressing issue, exacerbated by the unequal allocation of spatial and social resources within contemporary metropolitans. However, limited research has delved into working-residential spaces segregation through the lens of urban space allocation, and few studies have investigated the interplay between policy and spatial segregation within urban expansion. To deepen our understanding of the triad relationship among government, residents, and spaces in the urbanization process, it is essential to promote the rational allocation of spatial resources, mitigate the conflict between working-residential spaces, and bolster the government's socialized governance and sustainable regulation. Therefore, this study takes Chengdu as a case to identify working-residential spaces, and categorize working-residential spaces segregation into nine types, analyzing the segregation of its spatial functions and working-residential spaces segregation. Results show that spaces segregation varies considerably between inner-outer cities, and that urban expansion of outer cities has not alleviated working-residential spaces segregation. In terms of spatial distribution, the inner cities have a large number of residential spaces, while working spaces are located in the west and south sides of the outer cities. In terms of work-residential spaces segregation, the segregation is much more severe in the outer cities than in the inner cities, especially in the government-planned high-tech zone and new districts, which show extremely severe spatial segregation. Critically, the study challenges the efficacy of constructing new districts in resolving urban segregation. It contributes valuable insights into comprehending urban spatial equity and justice through the lens of urban spaces, offering a reference point for the enhancement of urban social governance.

The Study of Segregation and its Consequences in the Kabul City

This study investigates urban segregation in Kabul, the capital of Afghanistan, utilizing a multifaceted theoretical framework that integrates various explanatory models of segregation. The research targets the general population of Kabul, with a sample size of 233 individuals selected through a non-probabilistic cluster sampling technique. Data were collected using a comprehensive questionnaire focused on the Afghan context, incorporating insights from relevant studies. The analysis was conducted using SPSS software, employing both descriptive and inferential statistical methods. Demographic characteristics and participant responses in ethnically dominated areas were summarized using frequencies and percentages, while key variables were examined using measures of central tendency, dispersion, and distribution, including mean, standard deviation, variance, skewness, and kurtosis. The segregation tendencies of Kabul residents were analyzed using T-test, ANOVA and Spearman correlation. The results reveal a pronounced level of segregation within Kabul, with significant implications including the reinforcement of ethnocentric attitudes, the preservation of distinct subcultural identities, enhanced feelings of community security, and increased intra-group political and social engagement. The study found that followers of Shia Islam tend to segregate themselves from other religious groups, while the Pashtun ethnic group shows the lowest tendency toward segregation. Additionally, Kabul citizens tend to live among their own religious groups and the lower the level of education of individuals, the greater their tendency to separation.

BETWEEN PUBLIC AND PRIVATE: URBAN VIOLENCE IN THE CITY OF CAMPINA GRANDE-PB

Urban and rural violence in Brazil affects the development and appropriation of public spaces. Rising crime generates fear, reducing interaction in urban environments and favoring their privatization. Campina Grande, a medium-sized city, faces challenges typical of large centers, such as violence that restricts the use of public areas. This study analyzes how violence influences the appropriation of these spaces, highlighting socioeconomic, legal, and ideological factors that shape their perception and use. The study seeks to understand the impact of violence on quality of life and the right to the city, exploring urban reorganization strategies. The research uses data from public agencies, such as IBGE and the Ministry of Justice, as well as academic sources, to map neighborhoods with the highest crime rates. The study reveals that violence in Campina Grande has fluctuated over the last two decades, with an increase until 2016 and a recent recovery. However, vulnerable areas such as Bodocongó and Malvinas remain impacted, with insecurity and a lack of infrastructure limiting the use of public spaces, reinforcing urban segregation. Even with the reduction in violence rates, the perception of insecurity still hinders social interaction in these places.

Neoliberal urban segregation and property tax: A critical view of Santiago, Chile

Urban property taxes are primordial land value capture mechanisms that can potentially redistribute public income to underprivileged areas in a city. However, in Santiago, Chile, a city with considerable socio-spatial segregation correlated with significant disparities in municipal budgets, social welfare, and intergenerational reproduction of wealth, the property tax system is weak to address this issue effectively. This study analyses the potential redistributive capacity of property taxes in Greater Santiago, comparing the evolution of real estate surplus values with municipal budgets. These results show that a 2% increase in property taxes would suffice to equalize per capita municipal budgets, essential to redistribute social welfare. In Chiles’s neoliberal planning framework, we argue that weak property taxes are critical for the intergenerational reproduction of wealth and poverty in different municipalities. Property as capital is efficient for capturing unearned value in the long term and obtaining rental income, two mechanisms of inequality reproduction, as property accumulation is only feasible if it is not progressively taxed. In sum, this analysis of property taxes in Santiago contributes to the theoretical understanding of passive mechanisms of inequality reproduction in a neoliberal system and empirical support for a progressive increase of property taxes.

Effect of a neighbourhood intervention on social cohesion in Hamilton, Ontario, Canada

Place-based interventions are a widely used approach to redressing the consequences of concentrated neighbourhood poverty and urban segregation, but relatively few studies have examined the impact of such policies on an important social resource: social cohesion. Social cohesion is pivotal in providing a sense of community, fostering positive relationships among neighbours, and promoting collective well-being. This study examined the impact of a place-based intervention at the neighbourhood-level on social cohesion in Hamilton, Ontario, Canada using a quasi-experimental study with 881 intervention participants across six targeted neighbourhoods and 173 control participants. The findings suggest social cohesion increased in some of the intervention neighbourhoods compared to a control group of Hamilton residents untouched by the intervention. If confirmed by future investigations, these results could inform a re-focusing of place-based initiatives and a shift in their evaluation beyond health and economic impacts to provide greater focus on building durable community social assets like social cohesion.

Segregation in Hyderabad: Introspecting Multiple Indexes and Multiple Patterns

Segregation based on caste, religion, and ethnicity exists primarily in the urban housing market in India even in cosmopolitan urban centres like Mumbai, Delhi, Bengaluru, Kolkata, and Hyderabad. The present study maps segregation in Hyderabad and explores its intricate linkages with access to public amenities. This study examines caste-based segregation in urban space using multiple indexes like dissimilarity index (DI), isolation index, interaction index, correlation analysis, and mandal development index (MDI). It is observed that there is no clear link between caste-based DI and MDI. The correlation of MDI and caste-based DI illustrates that it is the location (core or periphery) that decides the level of infrastructural development. This investigation of the link between residential segregation measurement of DI and MDI leads us to conclude that the historical factors are equally crucial along with the social identities to explain urban segregation and discrimination.

Exploring the production of spatial inequality in dockless bicycle sharing in Shenzhen

There have been rising concerns over the unequal geographical distribution of bicycle sharing services in cities. Previous research on inequalities of urban bikeshare has often focused on quantitatively mapping inequalities with big data from travel records. It has thus been unable to examine the causes, reproduction mechanisms, and consequences of observed spatial inequalities in detail. Using the case of Shenzhen, a Chinese megacity with strong governmental control on mobility and a historical legacy of urban segregation, this study aims to achieve a nuanced understanding of the mechanism through which operators, regulators, and users of dockless bicycle sharing interact to produce and reproduce inequalities in accessing and using the service. To achieve this, this study adopts a mixed-method approach consisting of GIS mapping analysis, survey, and interviews with cyclists and experts. The result shows that both the use frequency and perceived accessibility of dockless bicycles are higher in wealthier and more central neighbourhoods. Moreover, strong governmental regulation in the form of a designated parking system, fleet quota distribution and point-based service evaluation have reproduced and enhanced spatial inequalities in dockless bicycle use and access. The findings contribute to the literature by demonstrating how preexisting urban infrastructure and certain regulatory arrangements interact to form a reproduction cycle of inequalities in accessing and using dockless bicycles that favours more central and well-off neighbourhoods at the expense of marginalized communities in Shenzhen.

Segregation and plague: King William's Town and the plague outbreaks of 1900-1907

Studies in the history of bubonic plague in Cape Town and Port Elizabeth revealed the close connection between the Victorian obsession with sanitation and the development of urban segregation in South Africa. The response of the medical officials and local authorities in the cities was mirrored in King William's Town, where racial prejudges were compounded by the Town Council's incompetence and reluctance to incur any expenditure from its own coffers.

Relationship between body mass index and residential segregation in large cities of Latin America

BackgroundObesity is a global health problem, and its connection with social and environmental factors is well-established. Social factors, such as urban segregation, may impact obesity through various mechanisms, including food and physical activity environments, as well as social norms and networks. This multilevel study aims to examine the effect of socio-economic residential segregation of Latin American cities on the obesity of individuals within those cities.MethodsWe analyzed data from national surveys for a total of 59,340 individuals of 18–70 years of age, conducted in 156 cities across Brazil, Chile, Colombia, and Mexico between 2007 and 2013. We adjusted two-level linear mixed models for body mass index (BMI) stratified by sex and country, controlling for age, educational level and poverty. Separate models were built for dissimilarity and isolation segregation indices.ResultsThe relationships between segregation indices and BMI were mostly not statistically significant, and in some cases, they were opposite to what was expected. The only significant relationships were observed in Colombian men, using the dissimilarity index (-7.5 [95% CI: -14.4, -0.5]) and in Colombian women, using the isolation index (-7.9 [95% CI: -14.1, -1.7]).ConclusionsWhile individual-level factors cannot fully explain differences among people in the same city, segregation indices may help. However, we found that in some cases, the relationship between BMI and segregation indices is opposite to what is expected based on prior literature. This should be considered in examining the phenomenon. Further research on obesogenic environments in segregated neighborhoods could provide valuable evidence.

Examining the impact of daily urban activity on spatial segregation: disparities in the proportion of foreign-born residents across residential areas and visited locations

ABSTRACT Urban segregation poses significant implications, one of which may be limited exposure between population groups, potentially amplifying disparities among urban populations. Traditionally, segregation has been studied mainly through a residential lens or in places like work or education. Including all environments where individuals spend their time during daily activities helps to paint a more realistic picture of the urban experience. This study analyzes disparities between the proportion of foreign-born residents that people experience in their residential areas versus the locations they visit in New Zealand. It uses a large mobile app dataset to operationalize activity spaces for approximately 620,000 people. The findings reveal that during daily mobility, intergroup exposure increases, which may play a mitigating role in potential segregation. We also find that residents in areas with many foreign-born residents tend to visit areas with fewer foreign-born residents, while the opposite holds for those in areas with few foreign-born residents. This study delves into the nuances of this correlation, demonstrating, for example, that the relationship between the ratio of foreign-born residents and the contrast experienced between residential and activity spaces is stronger in larger cities, suggesting that mobility may exert the most significant impact on mitigating segregation in such settings.

Residential segregation in two cities in Peru’s southern macro-region

Studies on residential segregation in Peru have privileged the study of the capital city, to the detriment of cities with other scales and contexts. This article analyzes the residential segregation levels and patterns in two Peruvian cities in the southern macro-region: Arequipa and Tacna. Based on data provided by the 2007 and 2017 censuses, synthetic and spatial segregation indicators were analyzed in both cities, taking as reference the educational level of the head of household and calculating the data on the block, census area, and district scales. The results show that inherited segregation patterns are maintained, while at the same time, the growing middle-class sectors are included in the more consolidated working-class settlements. In addition, processes that reinforce segregation were identified, such as the modification of the role of central areas, urban land production for the upper-class areas, and homogeneity of disadvantages in new areas of urban expansion, which are linked, particularly in the city of Arequipa, to the occupation of risk areas. The study suggests that these processes shape a low-scale urban segregation or fragmentation pattern in both cities, which coexists with inherited patterns.

Between Struggle, Forgetfulness, and Placemaking: Meanings and Practices among Social Groups in a Metropolitan Urban Park

Urban spatial segregation in Santiago de Chile, a prevalent feature of Latin American cities, underscores socioeconomic disparities and shapes the city’s socio-spatial dynamics. This segregation, driven by land prices and private ownership, has pushed disadvantaged groups to the periphery and limited their access to desirable areas reserved for wealthier segments of society. Quebrada Macul Park, situated within this segregated urban landscape, serves as an emblematic case that challenges and expands the classical definition of urban segregation. It exemplifies the complex negotiations over space utilization among social groups, defined by socioeconomic, generational, and interest-based differences. This study employs micro-segregation studies in a broad sense, both as a conceptual framework and as a methodological tool to analyze these dynamics. Through qualitative methodologies, including six in-depth interviews with diverse stakeholders (social and ecological activists, longtime residents, and park employees) and five participant observations, the research investigates the varied uses and meanings attributed to the park. The findings reveal that the park’s evolution from a space frequented by low-income dwellers to a diverse metropolitan park has sparked debates over its public versus private character, mirroring the power struggles among distinct social factions. The park serves as a profound identity marker for its historical inhabitants, who initially fought for the right to use it and today experience nostalgia due to its widespread popularity. Meanwhile, the struggle to establish the park as a public space challenges the city’s segregation dynamics and might promote social cohesion within urban natural environments.

The Ground Rent Machine: The Story of Race, Housing Inequality, and Dispossession in Baltimore, Maryland

In Baltimore, Maryland, more than 55,000 homes—roughly 30 percent of all residential plots—are subject to ground rent, a legacy of British feudal property law. Under this landlord–tenant system, the homeowner makes payments to the ground leaseholder, who maintains rights to the land. During the early 2000s, many Baltimoreans fell behind on their ground rent due to recessionary headwinds and were “ejected” from their homes as leaseholders took ownership (as collateral). Maryland lawmakers responded by passing housing protections in 2007, but several laws were overturned by the courts (Corma 2017). Using census and ground rent administrative data, we map the geography of ground rent in Baltimore. Our results reveal that originally a tool of class dispossession, ground rent became racialized in the 1950s and 1960s and today overwhelmingly affects Black communities and low-income households. Drawing on work by critical Marxist geographers, work on the production of decline, anti-Blackness, and property relations theory, we rely on a critical quantitative framework to illustrate how people, place, power structures, and relationality produce the pernicious and predatory “ground rent machine.” Telling the story of ground rent—a largely underexplored topic—illustrates how local racialized property regimes shape the geography of urban segregation and urban inequality.

Tackling school segregation with transportation network interventions: an agent-based modelling approach

We address the emerging challenge of school segregation within the context of free school choice systems. Households take into account both proximity and demographic composition when deciding on which schools to send their children to, potentially exacerbating residential segregation. This raises an important question: can we strategically intervene in transportation networks to enhance school access and mitigate segregation? In this paper, we propose a novel, network agent-based model to explore this question. Through simulations in both synthetic and real-world networks, we demonstrate that enhancing school accessibility via transportation network interventions can lead to a reduction in school segregation, under specific conditions. We introduce group-based network centrality measures and show that increasing the centrality of certain neighborhood nodes with respect to a transportation network can be an effective strategy for strategic interventions. We conduct experiments in two synthetic network environments, as well as in an environment based on real-world data from Amsterdam, the Netherlands. In both cases, we simulate a population of representative agents emulating real citizens’ schooling preferences, and we assume that agents belong to two different groups (e.g., based on migration background). We show that, under specific homophily regimes in the population, school segregation can be reduced by up to 35%. Our proposed framework provides the foundation to explore how citizens’ preferences, school capacity, and public transportation can shape patterns of urban segregation.

The fuel of discontent? Transport poverty risks and equity concerns in French urban peripheries

A range of accessibility indicators has been developed in the past decade to evaluate equity in transportation within urban areas. Some studies have attempted to incorporate them in transport poverty metrics, focussing on insufficient access to general services and employment. While accessibility measures coupled with statistics have been effective in assessing immediate households’ vulnerability, we argue that an analysis of their adaptive capacity could contribute to a better information of local policies in the long term. This paper aims to develop a methodology for mapping transport poverty risks at the metropolitan scale, while studying the relation between urban segregation and the transport divide. We use the case study of Lyon to operationalise our method and find evidence of vulnerability patterns previously identified in the sociological literature. Beyond the sensitivity of households living in the first-crown neighbourhoods and the growing exposure of medium-income families settling in peripheral municipalities, we emphasise the importance of using mixed methodologies to better capture households’ needs and mobility choices within suburban environments. We conclude by discussing shortcomings and future developments of our research.

Urban segregation on multilayered transport networks: a random walk approach

We present a novel method for analysing socio-spatial segregation in cities by considering constraints imposed by transportation networks. Using a multilayered network approach, we model the interaction probabilities of socio-economic groups with random walks and Lévy flights. This method allows for evaluation of new transport infrastructure’s impact on segregation while quantifying each network’s contribution to interaction opportunities. The proposed random walk segregation index measures the probability of individuals encountering diverse social groups based on their available means of transit via random walks. The index incorporates temporal constraints in urban mobility with a parameter, α∈[0,1)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\alpha \\in [0,1)$$\\end{document}, of the probability of the random walk continuing at each time step. By applying this to a toy model and conducting a sensitivity analysis, we explore how the index changes dependent on this temporal constraint. When the parameter equals zero, the measure simplifies to an isolation index. When the parameter approaches one it represents the city’s overall socio-economic distribution by mirroring the steady-state of the random walk process. Using Cuenca, Ecuador as a case study, we illustrate the method’s applicability in transportation planning as a valuable tool for policymakers, addressing spatial distribution of socio-economic groups and the connectivity of existing transport networks, thus promoting equitable interactions throughout the city.

Smart cities and communities in the GCC region: from top-down city development to more local approaches

City planners are seeking ways to incorporate human-centric urban projects that combine smart technology, good infrastructure and people’s perception as well as their participation. Smart city developments are increasingly being applied to smaller scales at which communities can co-design hard infrastructure and the resulting services. Experiences from city projects at this level have produced a plethora of designs, challenges and success factors, particularly from cases in countries with long legacies in city development. In the Gulf Cooperation Council region, young cities and new planned cities house the bulk of the population and face environmental challenges related to urban segregation, urban sprawl and large consumption footprints. The political-economy of this region in terms of central urban planning and government-led economic development offers valuable insights on the limits and challenges in implementing projects related to smart and connected communities (SCC). SCC as a label for smart urban interventions towards more connectedness between hard and soft (human-related) infrastructure can provide opportunities for participatory and sustainable urban planning in the region. This paper analyzes the role of community-level interventions within the smart city policies of Gulf countries. It shows that only few local-level projects exist, while the barriers to large-scale SCC initiatives are related to demographics, community characteristics, technological sophistication, lack of conducive regulations, and the prevalence of central urban planning. The success of local smart city approaches in the Gulf is dependent on public leadership in terms of clearing obstacles, designing broader strategies, and expanding projects to include the residential sector. Considering the potential of SCC projects to enhance the transition to sustainability in the predominantly urban Gulf societies, broader engagement of local governments, utilities, and community-level developers can result in tangible benefits in terms of more sustainable, smart and tailored local services.

Defining urban segregation: A qualitative meta-synthesis

Despite more than a century of research on urban segregation, this phenomenon is still one of the main concerns of urban planners and policymakers and a characteristic of cities that require intervention. Any policy-making in this field as an urban reality requires a clear understanding and definition of this phenomenon. But which definition? In response to this question and obtaining a basis for the definition of segregation, many efforts have been made in the past decades. However, these efforts have failed to present a framework that theoretically and practically responds to all dimensions and approaches in defining segregation. To fill this gap, the present study provides a comprehensive and integrated definition of urban segregation based on a meta-synthesis and qualitative content analysis by reviewing, categorizing, and combining the various and complex definitions in the existing literature. It presents two main categories of definitions of urban segregation: definitions based on the structural dimension and definitions based on the spatial dimension. Considering the complexity and multiple dimensions of urban segregation, a comprehensive definition of this phenomenon to present all aspects of segregation must answer six main questions: What is the nature of segregation? What people, on what basis, why, in what places and times, and how are segregated? The answers to the questions show that the presented categorization of the definitions of urban segregation covers different dimensions and aspects of this phenomenon. Therefore, combining them contributes to a comprehensive definition of it. Being more comprehensive than the previous definitions, the presented definition in this study specifies the main dimensions of urban segregation. It can provide an efficient basis for future theories, policies, and planning in urban segregation. Although the presented categories are inseparable parts of a whole, they can be examined in detail separately in future studies. Also, by connecting the definitions in the literature to intellectual paradigms and planning theories, a deeper understanding of the shaping factors and components of urban segregation can be achieved.