Where Do Ethno-Linguistic Groups Meet? How Copresence during Free-Time Is Related to Copresence at Home and at Work

Toomet, Ott; Silm, Siiri; Saluveer, Erki; Ahas, Rein; Tammaru, Tiit

doi:10.1371/journal.pone.0126093

Cited by 43 publications

(37 citation statements)

References 53 publications

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“…We also found that residential dissimilarity was strongly correlated with activity space dissimilarity with a correlation coefficient of r=79.96 (n=970, p< .01) at the district level and r=83.83 (n=81, p< .01) at the province level. In line with previous literature, we found that activity space dissimilarity was more often less than residential dissimilarity [22].…”

Section: Resultssupporting

confidence: 92%

Segregation and sentiment: estimating refugee segregation and its effects using digital trace data

Marquez¹,

Garimella²,

Toomet³

et al. 2019

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In light of the ongoing events of the Syrian Civil War, many governments have shifted the focus of their hospitality efforts from providing temporary shelter to sustaining this new long-term population. In Turkey, a heightened focus has been placed on the encouragement of integration of Syrian refugees into Turkish culture, through the dismantling of Syrian refugee-only schools in Turkey and attempts to grant refugees permanent citizenship, among other strategies. Most of the existing literature on the integration and assimilation of Syrian refugees in Turkey has taken the form of surveys assessing the degree to which Syrian refugees feel they are part of Turkish culture and the way Turkish natives view the refugee population. Our analysis leverages call detail record data, made available by the Data for Refugees (D4R) Challenge, to assess how communication and segregation vary between Turkish natives and Syrian refugees over time and space. In addition, we test how communication and segregation vary with measures of hostility from Turkish natives using data from the social media platform Twitter. We find that measures of segregation vary significantly over time and space. We also find that measures of inter group communication positively correlate with measures of public sentiment towards refugees. Attempts to address the concerns of Turkish natives in order to minimize the traction of online hate movements may help to improve the integration process.

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Section: Resultssupporting

confidence: 92%

Segregation and sentiment: estimating refugee segregation and its effects using digital trace data

Marquez¹,

Garimella²,

Toomet³

et al. 2019

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“…Residential segregation is higher than that in other domains of daily life (Toomet et al 2015). The Russian-speaking minority dominates panel housing districts (Kährik and Tammaru 2010), whereas Estonians prefer detached housing (Kährik 2002).…”

Section: Ethnic Groups and Segregation In Estoniamentioning

confidence: 90%

“…Few authors have studied segregation in activity locations in Estonia. Toomet et al (2015) found that compared with workplaces and residences, leisuretime locations for Estonians and Russian speakers in Tallinn are less segregated. Silm and Ahas (2014b) indicate that Estonians' and Russian speakers' activity spaces outside Tallinn are, however, segregated and the latter tend to visit districts which are mostly populated by the Russian-speaking minority.…”

Section: Ethnic Groups and Segregation In Estoniamentioning

confidence: 95%

“…The literature now clearly states that individuals can experience segregation in various sociogeographical spaces, that is residence, work and leisure (Schnell and Benjamini 2001;Wong and Shaw 2011;Farber et al 2012;Wang et al 2012;Kwan 2013;Silm and Ahas 2014b;Toomet et al 2015). In other words, members of certain ethnic groups tend to live (e.g.…”

Section: Activity-space-based Segregationmentioning

confidence: 99%

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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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“…In terms of scale, the most extensive empirical studies have been the ones addressing the segregation between the Estonian majority and the Russian-speaking minority in Estonia, employing data from mobile phones to study the degree of co-presence between the two groups in urban spaces (Järv et al 2015;Silm & Ahas 2014;Toomet et al 2015). The findings indicated that daily mobility decreases residential segregation depicted in census records based on place of residence, although there is considerable variation between different time frames as well as between different types of residential areas.…”

Section: Segregation Across Multiple Spatial Domainsmentioning

confidence: 99%

Spatial and temporal patterns of economic segregation in Sweden’s metropolitan areas: A mobility approach

Östh

Shuttleworth²,

Niedomysl

2018

Environ Plan A

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The statistical resources at hand for segregation research are usually almost exclusively confined to annual or decennial records where the only available spatial information is the individual’s place of residence. This coarse temporal periodicity and spatial resolution provides a very limited account of people’s diurnal lives. Incorporating mobility and temporal dimensions in segregation analysis is advocated within a growing body of research but there has rarely been sufficient data to make this possible. In this paper, we employ a fine-grained mobile phone dataset outlining the daily mobility of a substantial sample of the residents in Sweden’s metropolitan areas. Combining spatial trajectory data with detailed socio-economic residential statistics, we are able to study how everyday spatial mobility in cities shapes the segregation experiences of people and changes the segregation levels of places. Results indicate that while mobility alleviates segregation for some individuals, the population of a large number of areas remain highly segregated even when daily mobility is taken into account. Individuals residing or spending time in central urban areas are more exposed to individuals from other areas because of daily moves to these central places. Daytime movement to central areas also reduces segregation significantly for people from places remote from city centres but with high average levels of mobility whilst daytime segregation levels remain close to their original night-time levels in low-mobility areas in the outskirts of the cities.

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Where Do Ethno-Linguistic Groups Meet? How Copresence during Free-Time Is Related to Copresence at Home and at Work

Cited by 43 publications

References 53 publications

Segregation and sentiment: estimating refugee segregation and its effects using digital trace data

Segregation and sentiment: estimating refugee segregation and its effects using digital trace data

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

Spatial and temporal patterns of economic segregation in Sweden’s metropolitan areas: A mobility approach

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