3 research outputs found
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A Longitudinal Area Classification of Migration in Great Britain âTesting the application of Group-Based Multi-Trajectory Modelling
The migration of people affects the geographical distribution of the population and the demographic composition of areas over the short, medium and long terms. To recognise and respond to the corresponding needs and challenges, including consequences for service provision, social cohesion and population health, there is a continuing need to understand migration patterns of the past and present. Area classifications are a useful tool to simplify the inherently complex data on migration flows and characteristics. Yet, existing classifications often lack direct migration measures or focus solely on cross-sectional data. This study addresses these limitations by employing Group-based Multi-Trajectory Modelling (GBMTM) to create a longitudinal, migration-specific classification of Great Britain's wards from 1981 to 2011, using six migration indicators. Using UK census data, we reveal six distinct migration clusters that highlight the rapid growth in studentifying neighbourhoods, the continuous influx of migrants into inner cities, and a noticeable North-South divide in terms of moversâ tenure enforced by persisting income selectivity. Additionally, the geographical distribution of clusters shows a common pattern in urban areas irrespective of size or location. The longitudinal perspective of our GBMTM classification highlights trends and changes in migration patterns that are not well reflected in either the general purpose or the cross-sectional migration classification that we used as comparators. We conclude that the method presented and the classification generated offer a novel lens on migration and provide new opportunities to explore the effects of migration on a variety of outcomes and at various scales
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A longitudinal area classification of migration in Great Britain: Testing the application of GroupâBased MultiâTrajectory Modelling
Funder: Medical Research Council; doi: http://dx.doi.org/10.13039/501100000265Funder: Economic and Social Research Council; doi: http://dx.doi.org/10.13039/501100000269The migration of people affects the geographical distribution of the population and the demographic composition of areas over the short, medium and long terms. To recognise and respond to the corresponding needs and challenges, including consequences for service provision, social cohesion and population health, there is a continuing need to understand migration patterns of the past and present. Area classifications are a useful tool to simplify the inherently complex data on migration flows and characteristics. Yet, existing classifications often lack direct migration measures or focus solely on crossâsectional data. This study addresses these limitations by employing GroupâBased MultiâTrajectory Modelling (GBMTM) to create a longitudinal, migrationâspecific classification of Great Britain's wards from 1981 to 2011, using six migration indicators. Using U.K. census data, we reveal six distinct migration clusters that highlight the rapid growth in studentifying neighbourhoods, the continuous influx of migrants into inner cities, and a noticeable NorthâSouth divide in terms of movers' tenure enforced by persisting income selectivity. Additionally, the geographical distribution of clusters shows a common pattern in urban areas irrespective of size or location. The longitudinal perspective of our GBMTM classification highlights trends and changes in migration patterns that are not well reflected in either the general purpose or the crossâsectional migration classification that we used as comparators. We conclude that the method presented and the classification generated offer a novel lens on migration and provide new opportunities to explore the effects of migration on a variety of outcomes and at various scales
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Exploring residential relocation- differences between newcomers and settled residents in health, travel behaviour and neighbourhood perceptions.
This study explores whether people who have recently moved to an area differ from longer-term residents in their health, travel behaviour, and perceptions of the environment. Using a large, representative sample from the UKHLS, Newcomers demonstrate significantly lower mental and physical health, reduced car commuting, and a higher likelihood of liking their neighbourhood. Area deprivation, urbanicity, household income, and age emerge as influential moderators with i.e. Newcomers in affluent areas experiencing lower physical health than Settled Residents, and rural Newcomers expressing less neighbourhood satisfaction. Our findings highlight that Newcomers' perceptions of their environment diverge and environmental influences vary among population segments, potentially impacting related health behaviours such as active travel. Furthermore, residential relocation introduces Newcomers with distinct characteristics into areas, affecting the context in which potential population health interventions aiming to influence health behaviours operate. This necessitates a deeper understanding of what influences reactions to the environment as well as ongoing adaptation of environmental interventions to respond to changing contexts within the same location over time