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Knowledge about the relationship between the spatial organisation of personal social networks and physical mobility is important for understanding spatial problems and social inequalities that are inseparable from spatial and social structures. To provide further insights into these relationships, this study investigates the link between the spatial distribution of individuals’ social networks and spatial mobility. We collected data from a group of ‘highly skilled’ individuals with a smartphone application and combined quantitative surveys. In general, individuals with dispersed networks tend to have more spatial mobility. Our typological approach reveals three distinctive types: (A) dispersed networks and high mobility, (B) dispersed networks and low mobility, and (C) concentrated networks and low mobility. This typology is explained by gender, the composition of the network, and the use of mobile phones and social media.

This study is a contribution to the discussion on the ethnic segregation cycle, through the examination of individuals’ activity spaces—including residence and workplace—and from the perspective of social networks. Bridging social ties can be a key factor in higher minority inclusion and in breaking the vicious circle of segregation. We compare the spatial behaviour of two ethno-linguistic population groups living in Tallinn, Estonia’s capital city (Estonian-speaking majority and Russian-speaking minority), each of which have co- and interethnic social networks, through the use of mobile positioning (call detail records) and call-graph data. Among our main findings, we show firstly that interethnic social networks are more common for the Russian-speaking minority population. The probability of having an interethnic network is related to the ethno-linguistic composition of the residential district concerned; districts with a higher proportion of residents from another ethnic group tend to favour interethnic networks more. Secondly, the activity space is related to the ethno-linguistic composition of the social networks. Spatial behaviour is most expansive for Estonian speakers with co-ethnic networks, and most constrained for Russian speakers with co-ethnic networks. At the same time, speakers of Estonian and Russian with interethnic networks show rather similar spatial behaviours: They tend to visit more districts where the proportion of people from the other ethno-linguistic group is higher. Interethnic networks are therefore related to spatial behaviour, which can indicate interethnic meeting points and locations, something that is regarded as being important in assimilation and segregation cycle theories.

Funding: We are also very grateful to the Estonian Research Agency, who has provided financial support to the five-year PRG306 project “Understanding the Vicious Circles of Segregation. A Geographic Perspective” (for more see www.segregationcircles.eu), as well as to the support of the Infotechnological Mobility Observatory (www.imo.ut.ee/en) and the EU Horizon project “UpLift (www.uplift-youth.eu). A paradigm shift is taking place in spatial segregation research. At the heart of this shift is the understanding of the connectedness of spatial segregation in different life domains and the availability of new datasets that allow for more detailed studies on these connections. In this thematic issue on spatial underpinnings of social inequalities we will outline the foundations of the ‘vicious circles of segregation’ framework to shed new light on questions such as: What is the role of residential neighbourhoods in urban inequalities in contemporary cities? Have residential neighbourhoods lost their importance in structuring daily lives since important part of social interaction takes place elsewhere? How is residential segregation related to inequalities in other important life domains, in schools, at work and during leisure time? The vicious circles of segregation framework builds on the traditional approaches to spatial segregation, as well as on the emerging new research undertaken within the ‘activity space approach’ and ‘longitudinal approach’ to segregation. The articles in this thematic issue improve our understanding of how spatial segregation is transmitted from one life domain to another as people sort into residential neighbourhoods, schools, workplace and leisure time activity sites, and gain contextual effects by getting exposed to and interacting with other people in them. Publisher PDF

The extent to which ethnic segregation results from differences in socio-economic factors remains a seminal topic of debate. The growing literature demonstrating the multifaceted phenomenon of segregation urges more focus on individuals' spatial and social interactions. We applied an activity space approach and considered ethnic differences in individuals' activity spaces as an indicator of spatial segregation. We used mobile phone and survey datasets in Estonia. We show that place-based segregation indices derived from both datasets indicate similar levels of ethnic segregation. From an activity space perspective, the results show that the main socio-economic factor affecting the extensity of activity spaces is self-estimated social status rather than education and income. Results show that ethnic inequality in spatial behaviour is not straightforward, but rather that it is linked to how individuals position themselves in society. We argue that socio-economic factors need to be controlled to examine ethnic segregation from activity space perspective.

People move for various purposes and lengths of time. Temporary mobilities across borders have become increasingly important but are difficult to observe. In considering temporary population mobili...

Global crises such as the COVID-19 pandemic affect both the functioning of our societies and the daily lives of people. Yet the impact of the crisis and its mitigation measures have exerted disproportionate influence on different population groups. In March – May 2020, COVID-19 mitigation measures such as closures of national borders affected transnational people who cross borders frequently for work, shopping, services, family reasons and socialising. We have examined the influence of the COVID-19 pandemic on the daily lives of transnational Estonians residing in Finland, based on a unique longitudinal smartphone tracking survey. Findings show that besides a drastic but expected decrease in trans-nationals’ spatial mobility, the pandemic has especially affected their cross-border mobility patterns to and time spent in Estonia. Interestingly, during the lockdown, some transnationals decided to stay not in their primary home in Finland, but in Estonia. Mobile phone communication activity followed moderately the downward trend of spatial mobility, but the crisis changed the division of communication partners by country: Finnish contacts diminished, whereas Estonian partners remained active. We reflect on our findings for future research and discuss the applicability of the smart-phone tracking approach for capturing the socio-spatial interactions of transnational people.

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 opp...

Due to the ongoing increase in daily mobility, reductions in border controls, and new trends in tourism, it is important to find new ways to record comprehensively the growing number of tourists. This paper describes a method of extracting cross-border statistics on tourism from roaming call activities found within passive mobile positioning data. Eesti Pank (the central bank of Estonia) has been using these data and methodology since 2008 to calculate the national balance of payments and publish tourism statistics. Statistics obtained from mobile positioning data are herein compared with statistics on accommodation. Results indicate that positioning data enables the generation of detailed statistics on tourism, and for inbound visits, there is a strong correlation with official statistics on accommodation.

This article focuses on generational differences in spatial mobility. Assuming that the ability to cope with the social transformations related to growing mobility varies significantly across generations, we use mobile positioning data collected in Estonia during 2014 providing four main indicators, namely, the number of locations visited and the distances between visited locations, within Estonia and abroad. The results indicate that spatial mobility declines linearly with age; however, a high degree of heterogeneity exists within age groups. Whereas the spatial mobility of the most active members of the younger generation takes place mostly within Estonia, among the most active older generation focus their activity beyond its borders. The study reveals “delayed mobility” patterns among the most active groups of the older generation and a new “immobility culture” among the younger generation in terms of cross‐border activities in a transition society.

The need to examine the entire scope of everyday activities of individuals in segregation studies has recently been recognized by social scientists and policy makers. To bring forth new insights into ethnic segregation through investigating the activities and movement undertaken by different population groups, we used mobile phone positioning data to compare the activity spaces of out-of-home nonemployment activities over a one-year period in Estonia and abroad. The results show that ethnicity has a significant influence on the activity spaces of individuals. The biggest differences between the two population groups occur in Estonia outside the respondents’ home city of Tallinn, where the Russian-speaking minority was found to visit 45 percent fewer districts than Estonians. Moreover, they exhibit a preference for districts that are more heavily populated by a Russian-speaking population. With respect to international travel, the Russian-speaking minority visits fewer countries and are 3.6 times more like...

The paper presents initial steps into the research of commuting patterns and functional regions using mobile phone location data. The main aim is to introduce and discuss the potential of mobile phone location data as an alternative data sources to censuses for mapping commuting flows and subsequent functional regionalization. A set of analytical maps covering various aspects of regular daily movements of population and functional regionalization is provided. Estonia is serving as a pilot laboratory for analyses based on commuting flows derived from mobile phone location data. The maps give to reader a synthetic overview of contemporary settlement system in Estonia and introduce the potential of mobile phone location data for research in this field.

The reflection of gender roles in spatial mobility has been in the research focus of geographers as these issues are related to important aspects of the spatial organisation of society and planning such as the location of activities and services, the use of transportation, and housing policy. In this paper we compare gender-driven differences in the activity spaces of a new suburban community in the rapidly transformed former Soviet country Estonia. The authors used a questionnaire survey based on 573 households, and during eight days in 2006 tracked 256 people by mobile positioning. The results show that the space–time behaviour of men and women from the suburbs of Tallinn differs significantly in several aspects: men have larger activity spaces and drive a car more, while women’s workplaces are more concentrated in the city centre, they spend more time in suburban homes, and they use more public transportation. Comparing gender differences in Estonia with differences in other countries on the basis of similar studies conducted in Western countries, it appears that while the distribution of daily activities and the use of transportation are quite similar, there are differences in the location of workplaces. Keywords: gender, space–time mobility, mobile positioning, suburbanisation, postcommunist city, Tallinn

This article focuses on generational differences in spatial mobility. Assuming that the ability to cope with the social transformations related to growing mobility varies significantly across generations, we use mobile positioning data collected in Estonia during 2014 providing four main indicators, namely, the number of locations visited and the distances between visited locations, within Estonia and abroad. The results indicate that spatial mobility declines linearly with age; however, a high degree of heterogeneity exists within age groups. Whereas the spatial mobility of the most active members of the younger generation takes place mostly within Estonia, among the most active older generation focus their activity beyond its borders. The study reveals "delayed mobility" patterns among the most active groups of the older generation and a new "immobility culture" among the younger generation in terms of cross-border activities in a transition society.

This paper analyzes ethnic segregation across the whole activity space—at place of residence, place of work, and during free-time. We focus on interethnic meeting potential during free-time, measured as copresence, and its relationship to copresence at place of residence and work. The study is based on cellphone data for a medium-sized linguistically divided European city (Tallinn, Estonia), where the Estonian majority and mainly Russian-speaking minority populations are of roughly equal size. The results show that both places of residence and work are segregated, while other activities occur in a far more integrated environment. Copresence during free-time is positively associated with copresence at place of residence and work, however, the relationship is very weak.

We studied alcohol consumption and its consequences as a seasonal phenomenon in Estonia and analysed the social and environmental factors that may cause its seasonal rhythm. There are two important questions when researching the seasonality of human activities: (1) whether it is caused by natural or social factors, and (2) whether the impact of the factors is direct or indirect. Often the seasonality of social phenomena is caused by social factors, but the triggering mechanisms are related to environmental factors like temperature, precipitation, and radiation via the circannual calendar. The indicators of alcohol consumption in the current paper are grouped as: (1) pre-consumption phenomena, i.e. production, tax and excise, sales (beer, wine and vodka are analysed separately), and (2) post-consumption phenomena, i.e. alcohol-related crime and traffic accidents and the number of people detained in lockups and admitted to alcohol treatment clinics. In addition, seasonal variability in the amount of alcohol advertising has been studied, and a survey has been carried out among 87 students of Tartu University. The analysis shows that different phenomena related to alcohol have a clear seasonal rhythm in Estonia. The peak period of phenomena related to beer is in the summer, from June to August and the low point is during the first months of the year. Beer consumption correlates well with air temperature. The consumption of vodka increases sharply at the end of the year and in June; the production of vodka does not have a significant correlation with negative temperatures. The consumption of wine increases during summer and in December. The consequences of alcohol consumption, expressed as the rate of traffic accidents or the frequency of medical treatment, also show seasonal variability. Seasonal variability of alcohol consumption in Estonia is influenced by natural factors (temperature, humidity, etc.) and by social factors (celebrations, vacations, etc.). However, distinguishing between impacts of direct and indirect relationships is complicated, as they are interlinked.

The aim of this study is to determine the temporal variation of ethnic segregation in the city of Tallinn, the capital of Estonia. We employ data on mobile-phone use to compare variations in segregation indices during the day, the week, and the year. The results indicate that the locations of people are more segregated at night, with considerably less segregation during the daytime. The segregation is significantly lower on workdays compared to weekends. Segregation is also lower during summer holidays compared to the winter working period. The results show that although places of residence are segregated, different ethnic groups use the city together during the day, which increases the potential for interethnic contacts. The results demonstrate also that temporal segregation indices based on mobile-phone use are considerably lower than segregation indices of places of residence that are derived from the census.