Black–White and Hispanic–White Segregation in U.S. Counties

Allen, James P.; Turner, Eugene

doi:10.1080/00330124.2011.611426

Cited by 24 publications

(13 citation statements)

References 49 publications

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“…Four main causal factors lead to ethnic segregation: discrimination, disadvantages, preferences, and social networks (Johnston, Poulsen, and Forrest 2004;Allen and Turner 2012).…”

Section: Ethnic Segregationmentioning

confidence: 99%

Are younger age groups less segregated? Measuring ethnic segregation in activity spaces using mobile phone data

Silm

Ahas

Mooses

2017

Journal of Ethnic and Migration Studies

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Both assimilation theory and common sense suggest that the longer the immigrants reside in a host society, the more they become integrated. However, studies conducted in many countries show the opposite: younger generations of immigrants are more segregated than their parents. The aim of this study is to examine differences in ethnic segregation between age groups of the Estonian majority and Russian-speaking minority in Estonia. We use census data and passive mobile positioning data (CDR) to measure levels of segregation at the individual level for important activity locations and for the whole activity space. Results indicate that segregation in both places of residence and out-of-home nonemployment activity districts is higher in younger than in older age groups. Measures of activity space show that the activity spaces of Russian-speakers of all age groups are smaller and less diverse than those of Estonians, and are mainly bound to the places of residence of Russian-speakers. The differences between the activity space measures for Estonians and Russian-speakers generally reduce with age, which suggests higher ethnic segregation in younger age groups. The results thus show that, contrary to assimilation theory, the spatial behaviour of Russian-speakers has not become similar to that of Estonians over generations.

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“…Four main causal factors lead to ethnic segregation: discrimination, disadvantages, preferences, and social networks (Johnston, Poulsen, and Forrest 2004;Allen and Turner 2012).…”

Section: Ethnic Segregationmentioning

confidence: 99%

Are younger age groups less segregated? Measuring ethnic segregation in activity spaces using mobile phone data

Silm

Ahas

Mooses

2017

Journal of Ethnic and Migration Studies

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“…In contrast to the four types of factors (discrimination, disadvantage, preferences, and social networks) identified as contributing to segregation in the Western context (Allen and Turner, 2012), transitional urban China demonstrated an inclusive complexity. This complexity is characterized by two sets of dual relationships between social stratification and social diversity and overall mixing but place-specific segregation at the local scale propelled by at least three sets of dialectic dual-structure forces.…”

Section: Social Differentiation and Spatial Mixing In Transitional Chmentioning

confidence: 80%

Social differentiation and spatial mixture in a transitional city - Kunming in southwest China

Cheng

Young

2017

Habitat International

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Socio-spatial segregation, and particularly racial and ethnic segregation, has been extensively studied in the Western context but is less researched for Chinese cities, particularly those in less developed regions. The city of Kunming in remote southwest China is characterized by a transition from a socialist manufacturing center to a free market service economy and the strong presence of a diversity of ethnic groups. Kunming provides an opportunity to examine the similarities and disparities in the socio-spatial landscape compared to well-developed cities in China and other post-socialist contexts as well as those in the West. In this paper, population census data at the community level from 2000 together with its spatial boundary data are used to create 39 demographic, educational, occupational and housing variables for 431 communities. Principal component analysis, hierarchical clustering and spatial segregation indicators are combined in order to identify, classify and analyse the spatial segregation of diverse social groups. The study finds that, unusually for Chinese cities, ethnic minority and gender are significant factors, and it demonstrates that both spatial mixture and social differentiation simultaneously characterize Kunming.

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“…A host society's prejudices and discriminatory practices towards minorities can restrict their access to certain residential areas, job opportunities and leisure locations (Johnston et al 2007b;Stodolska 2007). Theories of disadvantage or marginalization state that structural barriers such as lower minority socioeconomic status limit opportunities for members of ethnic minorities (Allen and Turner 2011). Being in a disadvantaged position and having less money can restrict opportunities for travelling, celebrating holidays, and taking part in leisure activities.…”

Section: Activity-space-based Segregationmentioning

confidence: 99%

Ethnic Segregation During Public and National Holidays: A Study Using Mobile Phone Data

Mooses

Silm

Ahas

2016

Geografiska Annaler Series B

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This paper contains an analysis of ethnic differences in activity locations during public and national holidays. Holidays relate to identity, and the celebration of holidays can be a very important part of acculturation processes and are therefore relevant to ethnic integration policies. We study the out‐of‐home nonemployment activity locations of 12,500 respondents in Estonia, using mobile phone positioning data. The results show that during holidays, ethnic segregation, measured using an index of dissimilarity, is significantly higher than it is on regular days, especially outside the capital city. The type of holiday, such as whether it is a national or international holiday, has a particular effect on people's spatial behaviour. On Estonian public holidays, Estonians are more likely to leave Tallinn than Russian speakers. There are 77 per cent more Estonians and 33 per cent more Russian speakers outside the capital than on non‐holidays. The paper depicts different temporal layers of segregation, which also indicates different integration potential in leisure spaces under various time frames.

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Black–White and Hispanic–White Segregation in U.S. Counties

Cited by 24 publications

References 49 publications

Are younger age groups less segregated? Measuring ethnic segregation in activity spaces using mobile phone data

Are younger age groups less segregated? Measuring ethnic segregation in activity spaces using mobile phone data

Social differentiation and spatial mixture in a transitional city - Kunming in southwest China

Ethnic Segregation During Public and National Holidays: A Study Using Mobile Phone Data

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