Distance between home and work: A multilevel analysis of individual workers, neighbourhoods, and employment sites in Northern Ireland

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.

Thresholding of noisy shoeprint images based on pixel context

In a typical shoeprint classification and retrieval system, the first step is to segment meaningful basic shapes and patterns in a noisy shoeprint image. This step has significant influence on shape descriptors and shoeprint indexing in the later stages. In this paper, we extend a recently developed denoising technique proposed by Buades, called non-local mean filtering, to give a more general model. In this model, the expected result of an operation on a pixel can be estimated by performing the same operation on all of its reference pixels in the same image. A working pixel’s reference pixels are those pixels whose neighbourhoods are similar to the working pixel’s neighbourhood. Similarity is based on the correlation between the local neighbourhoods of the working pixel and the reference pixel. We incorporate a special instance of this general case into thresholding a very noisy shoeprint image. Visual and quantitative comparisons with two benchmarking techniques, by Otsu and Kittler, are conducted in the last section, giving evidence of the effectiveness of our method for thresholding noisy shoeprint images.

Dublin docklands. The urban fabric as cultural heritage

Introduction

Since the 1980s there have been major policies and projects for the redevelopment of Dublin Docklands. These projects were mainly aimed at profitable development of office, commercial and residential space, without a sound plan that would preserve the identity or community of the area. The recent shift in policies and urban design principles in the Dublin Docklands Area Master Plan 2008 shows that policy makers have acknowledged that mistakes were made in the last decades of the 20th century. The current map of the Dublin Docklands Area Master Plan 2008 gives us useful information about these changes. The Ringsend/ Irishtown area, which has kept a great part of its urban form and community identity throughout centuries, is described as an ‘area of protection of residential and services amenities’ (DDDA, 2008, map A). Meanwhile, the area of the Grand Canal Docks, recently developed, is described with the objective ‘to seek the social, economic and physical development or rejuvenation
within an area of mixed use of which residential and enterprise facilities would be the predominant uses’ (DDDA, 2008, map A). This classification shows that recent development has been unable to achieve the cohesion and complexity of existing neighbourhoods, revealing flaws not only in policy, but also in the built environment and approaches to urban design.

The shift towards the consideration of more community participation reveals a need to understand the tradition and past of these communities, while the urban fabric of small plots in the existing neighbourhoods, therefore, seems to have a very important role in the conservation of identity of place and providing the opportunity for difference within regularity. On the other hand, the new fabric of residential block developments in the docklands denies the possibility of developing a sense of community, and by providing only regularity, does not leave space for difference.

This paper will address questions related to urban morphology and town analysis in the case of Ringsend and Irishtown. This will provide a tool to learn from the past and perhaps find new models of development that might be less detrimental for the heritage of cities and urban communities. One of the ideas of this paper is to adhere to the new tendency in conservation policies to provide a broader analysis of urban areas, not only considering individual monuments in cities, but also analysing the significance of urban morphology and intangible heritage. It forms part of an OPW Post- Doctoral Fellowship in Conservation Studies and Environmental History.1 Research has been carried out in different areas of urban history of Dublin’s southern waterfront, including infrastructure history and a thorough analysis of the letters of the Pembroke Estate of the 19th century, which included the areas of Ringsend and Irishtown. However, this paper focuses on the study of urban form of the area and its significance to Dublin’s heritage.

Desegregation and Place Restructuring in the New Belfast

A sustained reduction in unemployment, economic growth and house price increase have reflected Belfast’s post-conflict renaissance just as readily as the global recession has exposed the fragility of construction-led growth. Rates of segregation had stabilised and new consumption spaces and élite developments further reflected the city’s engagement with globalisation and economic liberalisation. This paper explores the spatial impact of these processes, not least as gentrification has created new layers of residential segregation in a city already preoccupied with high rates of ethno-religious territoriality. A case study of south Belfast connects these shifts to the production of new mixed-religion neighbourhoods. These have the capacity to reduce the relevance of traditional binary identities, but at the same time reproduce new forms of segregation centred on tenure and class. The paper concludes by highlighting the implications for policy and practice, not least as the recession opens new spaces to present alternatives to the market logic.

Mass media and polarisation processes in the bounded confidence model of opinion dynamics

This paper presents a social simulation in which we add an additional layer of mass media communication to the social network 'bounded confidence' model of Deffuant et al (2000). A population of agents on a lattice with continuous opinions and bounded confidence adjust their opinions on the basis of binary social network interactions between neighbours or communication with a fixed opinion. There are two mechanisms for interaction. 'Social interaction' occurs between neighbours on a lattice and 'mass communication' adjusts opinions based on an agent interacting with a fixed opinion. Two new variables are added, polarisation: the degree to which two mass media opinions differ, and broadcast ratio: the number of social interactions for each mass media communication. Four dynamical regimes are observed, fragmented, double extreme convergence, a state of persistent opinion exchange leading to single extreme convergence and a disordered state. Double extreme convergence is found where agents are less willing to change opinion and mass media communications are common or where there is moderate willingness to change opinion and a high frequency of mass media communications. Single extreme convergence is found where there is moderate willingness to change opinion and a lower frequency of mass media communication. A period of persistent opinion exchange precedes single extreme convergence, it is characterized by the formation of two opposing groups of opinion separated by a gradient of opinion exchange. With even very low frequencies of mass media communications this results in a move to central opinions followed by a global drift to one extreme as one of the opposing groups of opinion dominates. A similar pattern of findings is observed for Neumann and Moore neighbourhoods.

Average household income, crime, and smoking behaviour in a local area: The Finnish 10-Town study

Social environments, like neighbourhoods, are increasingly recognised as determinants of health. While several studies have reported an association of low neighbourhood socio-economic status with morbidity, mortality and health risk behaviour, little is known of the health effects of neighbourhood crime rates. Using the ongoing 10-Town study in Finland, we examined the relations of average household income and crime rate measured at the local area level, with smoking status and intensity by linking census data of local area characteristics from 181 postal zip codes to survey responses to smoking behaviour in a cohort of 23,008 municipal employees. Gender-stratified multilevel analyses adjusted for age and individual occupational status revealed an association between low local area income rate and current smoking. High local area crime rate was also associated with current smoking. Both local area characteristics were strongly associated with smoking intensity. Among ever-smokers, being an ex-smoker was less likely among residents in areas with low average household income and a high crime rate. In the fully adjusted model, the association between local area income and smoking behaviour among women was substantially explained by the area-level crime rate. This study extends our knowledge of potential pathways through which social environmental factors may affect health. (c) 2007 Elsevier Ltd. All rights reserved.