121 resultados para Residential mobility


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Abstract. We explore the distances between home and work for employees at twenty-eight different employment sites across Northern Ireland. Substantively, this is important for better understanding the geography of labour catchments. Methodologically, with data on the distances between place of residence (566 wards) and place of work for some 15 000 workers, and the use of multilevel modelling (MLM), the analysis adds to the evidence derived from other census-based and survey-based studies. Descriptive analysis is supplemented with MLM that simultaneously explores individual, neighbourhood, and site variations in travel-to-work patterns using hierarchical and cross-classified model specifications, including individual and ecological predictor variables (and their cross-level interactions). In doing so we apportion variability to different levels and spatial contexts, and also outline the factors that shape spatial mobility. We find, as expected, that factors such as gender and occupation influence the distance between home and work, and also confirm the importance of neighbourhood characteristics (such as population density observed in ecological analyses at ward level) in shaping individual outcomes, with major differences found between urban and rural locations. Beyond this, the analysis of variability also points to the relative significance of residential location, with less individual variability in travel-to-work distance between workers within wards than within employment sites. We conclude by suggesting that, whilst some general ‘rules’ about the factors that shape labour catchments are possible (eg workers in rural areas and in higher occupations travel further than others), the complex variability between places highlighted by the MLM analysis illustrates the salience of place-specific uniqueness.

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Spatial mobility, workers and jobs: perspectives from the Northern Ireland experience,Regional Studies. How best to address local concentrations of worklessness is a key question for labour market, economic developmentand social inclusion policy. Historically, initiatives in Northern Ireland have focused on moving ‘jobs to workers’, butin changed political circumstances there is now greater emphasis on encouraging the movement of ‘workers to jobs’. A review of the Northern Ireland experience in the context of broader consideration of the geography and socio-institutional structure of local labour markets sheds light on the difficulties and successes in implementing both approaches. It is concluded that both have a role to play because labour market space is simultaneously ‘segmented’ and ‘seamless

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In a meritocratic society it is assumed that the chance of achieving occupational mobility (OM) is not strongly influenced by one's starting position in terms of class or ethnicity. This paper seeks to explain the drivers of the high levels of OM achieved by one ethnically defined group: the Scots. Educational attainment is shown to be particularly important. A second level of interest is the changing role of internal migrants to a global city in the face of increased international skilled immigration. We investigate whether there is any evidence that the OM of internal migrants is being hindered as a result. The evidence points instead to immobile local labour being more disadvantaged occupationally than mobile labour from peripheral regions of the state.

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Beds of nonattached coralline algae (maerl or rhodoliths) are widespread and considered relatively species rich. This habitat is generally found in areas where there is chronic physical disturbance such that maerl thalli are frequently moved. Little is known, however, about how natural disturbance regimes affect the species associated with maerl. This study compared the richness, animal abundance, and algal biomass of maerl-associated species over a two-year period in a wave-disturbed bed and a sheltered maerl bed. Changes in associated species over time were assessed for departures from a neutral model in which the dissimilarity between samples reflects random sampling from a common species pool. Algal biomass and species richness at the wave-exposed site and on stabilized maerl at the sheltered site were reduced at times of higher wind speeds. The changes in species richness were not distinguishable from a neutral model, implying that algal species were added at random to the assemblage as the level of disturbance lessened. Results for animal species were more mixed. Although mobile species were less abundant during windy periods at the exposed site, both neutral and non-neutral patterns were evident in the assemblages. Artificial stabilization of maerl had inconsistent effects on the richness of animals but always resulted in more attached algal species. While the results show that the response of a community to disturbance can be neutral, the domain of neutral changes in communities may be relatively small. Alongside non-neutral responses to natural disturbance, artificial stabilization always resulted in an assemblage that was more distinct than would be expected under random sampling from a common pool. Community responses to stabilization treatments did not consistently follow the predictions of the dynamic equilibrium model, the intermediate disturbance model, or a facilitation model. These inconsistencies may reflect site-specific variation in both the disturbance regime and the adjacent habitats that provide source populations for many of the species found associated with maerl.

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The paper analyses the work-related spatial mobility intentions of incapacity benefit (IB) claimants in Northern Ireland using a new survey dataset. Greater understanding of the prospective mobility of benefit claimants contributes to debates about employability, inclusion in the labour market and arguments about spatial mismatch. The analysis finds that IB claimants are not markedly less mobile than other population groups; that mobility is shaped by age, level of qualification, illness type, ability to drive and motivation; and that geography is important in several ways. The paper concludes by arguing that limited spatial mobility is a good indicator of disadvantage and that spatial mobility should be placed nearer the centre of the design and delivery of labour market policy

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Segregation measures have been applied in the study of many societies, and traditionally such measures have been used to assess the degree of division between social and cultural groups across urban areas, wider regions, or perhaps national areas. The degree of segregation can vary substantially from place to place even within very small areas. In this paper the substantive concern is with religious/political segregation in Northern Ireland—particularly the proportion of Protestants (often taken as an indicator of those who wish to retain the union with Britain) to Catholics (often taken as an indicator of those who favour union with the Republic of Ireland). Traditionally, segregation is measured globally—that is, across all units in a given area. A recent trend in spatial data analysis generally, and in segregation analysis specifically, is to assess local features of spatial datasets. The rationale behind such approaches is that global methods may obscure important spatial variations in the property of interest, and thus prevent full use of the data. In this paper the utility of local measures of residential segregation is assessed with reference to the religious/political composition of Northern Ireland. The paper demonstrates marked spatial variations in the degree and nature of residential segregation across Northern Ireland. It is argued that local measures provide highly useful information in addition to that provided in maps of the raw variables and in standard global segregation measures.