Urban Residential Segregation Research Articles

Research Progress and Trends in Urban Residential Segregation

Research Progress and Trends in Urban Residential Segregation

The Relationship between Urban Diversity and Residential Segregation

Racial diversity was found to be related to racial residential segregation and strongly related to racial isolation within the nation’s metropolitan and micropolitan areas at the block group level. However, the relationships were both complex and dependent on the racial group. Racial diversity was assessed for all 927 metropolitan and micropolitan areas as opposed to just the largest fifty or the largest one hundred. Racial segregation and isolation were assessed at the block group level (excluding water and zero population block groups), not the census tract level, within each metro/micro area. The eight non-overlapping racial groups as defined by the U.S. Census were used. Racial diversity was measured with the Diversity Index (the Simpson Index). Racial residential segregation was measured with the pairwise Dissimilarity Index (D) and the Multigroup Dissimilarity Index (DG) as it was initially proposed using expected frequencies. Racial isolation was measured with the Isolation Index (P*).

Tenure-Based Housing Spatial Patterns and Residential Segregation in Guangzhou under the Background of Housing Market Reform

China’s urban housing distribution system has been transformed from a redistribution system to a market-oriented distribution system, which has profoundly affected the ways and opportunities for urban residents to obtain housing resources and has triggered a large-scale reconstruction of urban residential social space. Based on the national 5th and 6th census data of Guangzhou, this paper analyzes the spatial patterns of housing tenure and tenure-based residential segregation in 2000 and 2010 with the research aim of analyzing the internal logic of urban housing distribution and residential segregation in urban China using Guangzhou as an example. The study finds that the home ownership rate in Guangzhou dropped from 62.31% in 2000 to 49.72% in 2010, with the percentage of social housing particularly low. The index of evenness and concentration is used to analyze tenure-based residential segregation. The results show that the tenure-based residential segregation index in 2000 and 2010 is between 0.4 and 0.6, which implies that residential segregation is basically moderate and that social housing is more segregated than open market housing. On the whole, market mechanisms have gradually played a fundamental role in tenure-based residential restructuring and segregation since 2000, and governmental and institutional factors also significantly influence such elements.

Minority groups in the largest cities of Latvia

Spatial segregation of minority ethnic groups is a returning issue in public and political debates across many parts of the world. The degree of spatial concentration and segregation of ethnic minorities in European cities is well documented. However, despite Latvia's diverse migration history and relatively high minority population, particularly in the largest cities, these issues have received scant attention. This study examines the residential patterns of minority ethnic groups, presenting data on the levels and dynamics of urban residential segregation. The study includes five ethnic minorities: Russians, Belarusians, Ukrainians, Poles, and other ethnicities. We adopted a widely used methodology to examine changes in ethnic residential segregation between 2000 and 2019. The information comes from the 2000 census and the population register. We are confident in stating that overall ethnic residential segregation levels do not appear to be increasing. However, there are some differences not only between ethnic groups in the same city, but also between similar groups in different cities. Furthermore, demographic change reinforces both minority representation in established residential patterns and ethnic segregation in urban Latvia as a whole. Certain characteristics of the Latvian context, such as the dominance of owner-occupied dwellings and relatively low residential mobility, may explain the findings.

Urban Planning and Residential Segregation in Brazil—The Failure of the “Special Zone of Social Interest” Instrument in Londrina City (PR)

The objective of this analysis is linked to the discussion of urban residential segregation marked by the Brazilian urban land structure and perpetuated by urban planning instruments at the municipal level. The spatial focus of the study is the municipality of Londrina (state of Paraná/Brazil). We aimed to analyze the relationship between urban zoning and the dynamics of residential segregation, unfolding two foci: verify to what extent the objectives presented in the municipal instrument translate the objectives of the instrument at the federal level (the City Statute–CE) and the national program “My Home, My Life” aimed to provide housing to socially vulnerable populations; the second focus, aims to assess how the planning instrument—the Special Zone of Social Interest (ZEIS), contemplated in the Land Use and Occupation Law and in the Municipal Master Plan of Londrina (PDPML, 2008)—materializes in practice the objectives of promoting equity in access to housing. The results show that although the objectives defined at the federal level are transposed to the municipal level, demonstrating a theoretical coherence between the instruments, there are flaws in their implementation. The case study results show that the urban zoning of Londrina has as a guideline a segregationist territorial ordering, leading to a residential segregation of the population with low purchasing power. On the other hand, the planning instrument that could change this reality is the ZEIS that, on the contrary, reinforced social housing in the periphery, conditioning the right to the city and perpetuating the social vulnerability of disadvantaged groups, in a process common to other Brazilian cities. Such constraints make relevant the establishment of land reserves for social housing based on clear roles of a social and functional mix, reinforced by the combat of vacant spaces and the definition of minimal housing and infrastructure densities to allow urban occupation.

Fractal urbanism: City size and residential segregation in India

We present the first ever large-scale snapshot of urban residential segregation in India at the neighborhood-scale. Our analysis from 147 largest cities in contemporary India shows how caste-based residential segregation is independent of city size (our sample includes all cities in India with at least 0.3 million residents in 2011). The extent of segregation in the largest metropolitan centers with over ten million residents closely tracks cities that are nearly two orders-of-magnitude smaller. We also show how residential segregation across a large swathe of urban India mirrors the spatial geometry of rural India. Our findings call into question one of the central normative promises of modernization in India and elsewhere — the gradual withering of traditional ascriptive identities such as caste. Our paper also contributes to the emerging debates in urban segregation by developing an interdisciplinary framework for analytical and empirical operationalization of a neighborhood unit.

Categorization of Green Spaces for a Sustainable Environment and Smart City Architecture by Utilizing Big Data

Urban green spaces promote outdoor activities and social interaction, which make a significant contribution to the health and well-being of residents. This study presents an approach that focuses on the real spatial and temporal behavior of park visitors in different categories of green parks. We used the large dataset available from the Chinese micro-blog Sina Weibo (often simply referred to as “Weibo”) to analyze data samples, in order to describe the behavioral patterns of millions of people with access to green spaces. We select Shanghai as a case study because urban residential segregation has already taken place, which was expected to be followed by concerns of environmental sustainability. In this research, we utilized social media check-in data to measure and compare the number of visitations to different kinds of green parks. Furthermore, we divided the green spaces into different categories according to their characteristics, and our main findings were: (1) the most popular category based upon the check-in data; (2) changes in the number of visitors according to the time of day; (3) seasonal impacts on behavior in public in relation to the different categories of parks; and (4) gender-based differences. To the best of our knowledge, this is the first study carried out in Shanghai utilizing Weibo data to focus upon the categorization of green space. It is also the first to offer recommendations for planners regarding the type of facilities they should provide to residents in green spaces, and regarding the sustainability of urban environments and smart city architecture.

Fractal Urbanism: City Size and Residential Segregation in India

We present the first ever large-scale snapshot of urban residential segregation in India at the neighborhood-scale. Our analysis from 147 largest cities in contemporary India shows how caste-based residential segregation is independent of city size (our sample includes all cities in India with at least 0.3 million residents in 2011). The extent of segregation in the largest metropolitan centers with over ten million residents closely tracks cities that are nearly two orders-of-magnitude smaller. We also show how residential segregation across a large swathe of urban India mirrors the spatial geometry of rural India. Our findings call into question one of the central normative promises of modernization in India and elsewhere --- the gradual withering of traditional ascriptive identities such as caste. Our paper also contributes to the emerging debates in urban segregation by developing an interdisciplinary framework for analytical and empirical operationalization of a neighborhood unit.

Multiscale Segregation: Multilevel Modeling of Dissimilarity—Challenging the Stylized Fact That Segregation Is Greater the Finer the Spatial Scale

A very large literature has explored the intensity of urban residential segregation using the index of dissimilarity. Several recent studies have undertaken such analyses at multiple spatial scales, invariably reaching the conclusion that the finer grained the spatial scale, the greater the segregation. Such findings, however, overstate the intensity of segregation at finer spatial scales because they fail to take into account an argument made by Duncan et al. some sixty years ago that indexes derived from fine-scale analyses must necessarily incorporate those from coarser scales, with the consequence that finer scale segregation is invariably overestimated. Moreover, most studies ignore stochastic variation that results in upward bias in the estimates of segregation. This article demonstrates the importance of a recently developed multilevel modeling procedure that identifies the “true” intensity of segregation at every level in a spatial hierarchy net of its intensity at other levels and also net of stochastic variation This is illustrated by both a simulated data set and an empirical study of an English city, with the latter raising important substantive issues regarding the interpretation of segregation patterns and the processes underlying them. Key Words: dissimilarity, multilevel modeling, scale, segregation.

Urban sprawl and residential segregation in Western Suburb Area of Malang City, East Java, Indonesia

Aim of this study is to analyze the impact of urban sprawl on the residential and social segregation in western suburb area of Malang city. This research has been conducted through combination of qualitative and quantitative methods or mixed method. Quantitative method was undertook to identify the urban sprawl. Urban sprawl was detected by means of urban morphology approach. Quantitative method was represented by: (1) the processing of Normalized Difference Built up Index to identify the built-up area growth and (2) delineation of residential area types taken from Google earth and ground checking at the study location. Qualitative method was done by using the hermeneutical phenomenology to investigate the social segregation. Research’s result showed that there is urban sprawl, impacting on spatial structure changes. Spatial structure has been shown by the alteration of non-built-up areas into planned settlements separated from village, further referred as residential segregation. Residential segregation shows that there is social segregation between the migrants and natives in western suburb area of Malang city. This research concludes that the urban sprawl has implication on shifting process of rural to suburb area. However, the shifting process does not impact on systematic social dimension between the migrants and natives. Tujuan dari penelitian ini adalah untuk menganalisis dampak perambahan perkotaan terhadap segregasi permukiman dan sosial di daerah pinggiran barat kota Malang. Penelitian ini dilakukan melalui kombinasi metode kualitatif dan kuantitatif atau metode campuran. Metode kuantitatif dilakukan untuk mengidentifikasi perambahan kota yang terdeteksi melalui pendekatan morfologi perkotaan. Metode kuantitatif diwakili oleh: (1) pengolahan “ Normalised Difference Built Up Index ” untuk mengidentifikasi pertumbuhan area terbangun dan (2) penggambaran tipe-tipe area pemukiman yang diambil melalui Google Earth TM dan cek lapangan di lokasi penelitian. Metode kualitatif dilakukan dengan menggunakan fenomenologi hermeneutis untuk menyelidiki segregasi sosial. Hasil penelitian menunjukkan bahwa ada perambahan perkotaan ( urban sprawl ) berdampak pada perubahan struktur spasial. Struktur tata ruang telah ditunjukkan oleh perubahan daerah-daerah yang tidak dibangun menjadi pemukiman-pemukiman terencana yang terpisah dari desa, yang selanjutnya disebut sebagai segregasi perumahan. Pemisahan pemukiman menunjukkan bahwa ada segregasi sosial antara pendatang dan penduduk asli di daerah pinggiran barat kota Malang. Penelitian ini menyimpulkan bahwa urban sprawl memiliki implikasi pada pergeseran proses dari pedesaan ke daerah pinggiran kota, akan tetapi proses pergeseran tidak berdampak pada dimensi sosial yang sistematis antara pendatang dengan penduduk asli. DOI: http://dx.doi.org/10.17977/um017v24i12019p011

Residential Segregation Patterns in Indian Metros

We present the first ever neighbourhood-scale portrait of caste-based residential segregation in Indian cities. Using 2011 enumeration block (EB) level census data for five major cities in India – Bengaluru, Chennai, Delhi, Kolkata, and Mumbai – we show how patterns of caste-based urban residential segregation operate in contemporary India. We also present the first visual snapshot of caste-based residential segregation in an Indian city using georeferenced EB level data for Bengaluru.

Urban Projects and Residential Segregation: A Case Study of the Cabanyal Neighborhood in Valencia (Spain)

In this paper, we study the consequences of neoliberal urban policy, in terms of the segregation and social changes experienced in the Cabanyal neighborhood located in Valencia, Spain. In doing so, we analyze the process of residential mobility that has affected the neighborhood during the last decade, resulting in a segregation of space. This neighborhood had been affected, since 1988, by an urban project that was to bring about its partial destruction. Despite having been stopped, the project has caused a dynamic of physical and social degradation of the neighborhood against which the local government has only very recently started to intervene. Using microdata from the Residential Variation Statistics provided by the Statistical Office of the City of Valencia, we analyze the demographic profile of the mobility inside the Cabanyal neighborhood and also the origin of the arrivals and the destination of the departures from 2004–2016. The aim is to identify the territorial pattern of the socio-demographic changes that have affected the neighborhood. The results indicate that during the period under analysis, in which the area was affected by the urban project, a progressive loss in the Spanish population was occurring, as well as a substitution of non-EU immigrants, who were predominant at the beginning of the period, with EU immigrants. This process has produced a high level of residential segregation, since immigrants from the European Union are viewed more negatively than immigrants from outside of the European Union, which, along with their lower level of education and employment in low-skilled and poorly paid jobs, makes their social integration and interaction more difficult.

Isolated by Caste: Neighbourhood-Scale Residential Segregation in Indian Metros

We present the first ever neighbourhood-scale portrait of caste-based residential segregation in Indian cities. Residential segregation studies in Indian cities have relied on ward-level data. We demonstrate in this paper that wards cannot approximate an urban neighborhood, and that they are heterogeneous. For a typical ward, the neighbourhood-ward dissimilarity index is greater than the wardcity dissimilarity index. Using 2011 enumeration block (EB) level census data for five major cities in India – Bengaluru, Chennai, Delhi, Kolkata, and Mumbai – we show how patterns of caste-based urban residential segregation operate in contemporary India. We also present the first visual snapshot of castebased residential segregation in an Indian city using georeferenced EB level data for Bengaluru. Besides implications for policy, our analysis also points to the need for publicly available, geospatially-linked neighborhood-scale census data that includes data on economic class for a spatial understanding of economic and social stratification within Indian cities.

Decomposing Multi‐Level Ethnic Segregation in Auckland, New Zealand, 2001–2013: Segregation Intensity for Multiple Groups at Multiple Scales

AbstractThere has been a growing appreciation that the processes generating urban residential segregation operate at multiple scales, stimulating innovations into the measurement of their outcomes. This paper applies a multi‐level modelling approach to that issue to the situation in Auckland, where multiple migration streams from both Pacific Island and Asian origins have created a complex multi‐ethnic city. We identify two distinct trends. For the larger ethnic groups segregation remained static despite rapid growth over a recent twelve‐year period. For the smaller groups growth has been combined with considerable change; they initially clustered in a few localities and areas within them but then experienced considerable reduction in the intensity of that segregation. By spatially decomposing the segregation levels, this paper extends our appreciation of its underpinning processes when they apply to migration streams that differ in their nature from those on which traditional residential location‐decision theory has been based.

The impact of area residential property values on self-rated health: A cross-sectional comparative study of Seattle and Paris.

This study analyzed the impact of area residential property values, an objective measure of socioeconomic status (SES), on self-rated health (SRH) in Seattle, Washington and Paris, France. This study brings forth a valuable comparison of SRH between cities that have contrasting urban forms, population compositions, residential segregation, food systems and transportation modes. The SOS (Seattle Obesity Study) was based on a representative sample of 1394 adult residents of Seattle and King County in the United States. The RECORD Study (Residential Environment and Coronary Heart Disease) was based on 7131 adult residents of Paris and its suburbs in France. Socio-demographics, SRH and body weights were obtained from telephone surveys (SOS) and in-person interviews (RECORD). All home addresses were geocoded using ArcGIS 9.3.1 (ESRI, Redlands, CA). Residential property values were obtained from tax records (Seattle) and from real estate sales (Paris). Binary logistic regression models were used to test the associations among demographic and SES variables and SRH. Higher area property values significantly associated with better SRH, adjusting for age, gender, individual education, incomes, and BMI. The associations were significant for both cities. A one-unit increase in body mass index (BMI) was more detrimental to SRH in Seattle than in Paris. In both cities, higher area residential property values were related to a significantly lower obesity risk and better SRH. Ranked residential property values can be useful for health and weight studies, including those involving social inequalities and cross-country comparisons.

Vivienda social en Córdoba: efectos en la segregación residencial y el crecimiento urbano (1991-2008)

This paper analyzes the role of the State in the production and reproduction of residential habitat through the implementation of housing policies. Background studies are reviewed that account for the relationship between social housing, location and its effects on the spread of urban growth and residential segregation. Subsequently, this research analyzes the evolution of residential segregation in Cordoba over the 1991-2008 period and discusses the impact of social housing programs on the dynamics of such a phenomenon. In other words this paper studies the effects of recent State programs implemented in Cordoba over the last decades which, while providing goods (dwellings), their location in peri-urban areas has prevented inhabitants from accessing the advantages of centrality (provision of goods and services) and interacting with a diverse and varied environment. Finally, this research offers some reflections on the analysis and provides considerations that should be taken into account in the formulation of future social housing projects.

The scale of segregation: ancestral groups in Sydney, 2011

ABSTRCTMost studies of urban residential segregation analyse it at a single-scale only, usually the smallest for which relevant census data are available. Following a recent argument that such segregation is multiscalar, this paper reports on multilevel modelling of the segregation of 42 ancestral groups in Sydney, Australia, looking at its intensity at four separate scales in which segregation at each scale is presented nett of its intensity at all higher-level scales. Most groups are more segregated at the macro- and micro-scales than at two intermediate meso-scales, with variations across them reflecting their size, recency of arrival in Australia and cultural differences from the host society. The findings are used as the basis for developing a multiscale appreciation of residential patterning.

Large-Scale Urban Riots and Residential Segregation: A Case Study of the 1960s U.S. Riots.

Despite a well-established literature investigating race-related predictors of riot incidence, the racial aftermath of riots remains unexamined. In this study, I use the 1960s U.S. race riots to investigate trends in black residential segregation levels following large-scale riot activity in seven major U.S. cities. I use a novel approach--namely, synthetic control matching--to select a group of cities against which segregation trends can be compared. I find that levels of black segregation rose in 1970 for four of the seven cities, but these increases disappeared in 1980 and 1990 except in Detroit. These results mask differential trends at lower geographic levels: suburban neighborhoods in affected areas experienced larger and longer-term increases in segregation, particularly in traditionally hypersegregated cities in the Midwest and Northeast.

Brief introductory guide to agent-based modeling and an illustration from urban health research

Abstract There is growing interest among urban health researchers in addressing complex problems using conceptual and computation models from the field of complex systems. Agent-based modeling (ABM) is one computational modeling tool that has received a lot of interest. However, many researchers remain unfamiliar with developing and carrying out an ABM, hindering the understanding and application of it. This paper first presents a brief introductory guide to carrying out a simple agent-based model. Then, the method is illustrated by discussing a previously developed agent-based model, which explored inequalities in diet in the context of urban residential segregation.

An Open-Source Software for Calculating Indices of Urban Residential Segregation

The aim of this article is to introduce a new stand-alone application—Geo-Segregation Analyzer—that is capable of calculating 43 residential segregation indices, regardless of the population groups or the metropolitan region under study. In practical terms, the user just needs to have a Shapefile geographic file containing counts of population groups that differ in ethnic origin, birth country, age, or income across a metropolitan area at a small area level (e.g., census tracts). Developed in Java using the GeoTools library, this free and open-source application is both multiplatform and multilanguage. The software functions on Windows, Mac OS X, and Linux operating systems and its user interface currently supports 10 languages (English, French, Spanish, Catalan, German, Italian, Portuguese, Creole, Vietnamese, and Chinese). The application permits users to display and manipulate several Shapefile geographic files and to calculate 19 one-group indices, 13 two-group indices, 8 multigroup indices, and 3 local measures that could be mapped (location quotient, entropy measure, and typology of the ethnic areas proposed by Poulsen, Johnson, and Forrest).