Dr Ellie Bates, University of Edinburgh and Professor Gwilym Pryce, University of Sheffield, Joe Frey, Northern Ireland Housing Executive and Dr John Boyle, Rettie and Co. This project explored new inter-disciplinary uses of Geographically Weighted Regression (GWR) in criminology, sociology, housing economics and real estate finance, developed in collaboration with the Northern Ireland Housing Executive and Rettie and Co. Ltd.
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Urban Poverty The location of poor households near the centre and wealthier households in the suburbs has for a long time been seen as the archetypal social structure of the industrial city. The suggestion that poverty is shifting towards the periphery not only challenges this long-standing stereotype but also touches on a number of important policy issues. For example, achieving
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Impact Case Study: This AQMeN impact case study highlights the impact of evidence from the Urban Segregation and Inequality programme, where AQMeN researchers have developed new ways of measuring segregation and revealed significant changes in the spatial patterns of poverty and religion. These new methods are being applied to Chinese cities in collaboration with government officials in Hebei Province to
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2018 coverage: Peace walls and other social frontiers can breed crime and conflict in cities Professor Gwilym Pryce discusses ‘social frontiers’ and their impact on communities for The Conversation, 5th June 2018 2017 coverage: Levels of religious integration sway house buyers, study finds- Herald Scotland 26 Mar 2017 Research by Professor Gwilym Pryce, Dr Nema Dean and Dr Dan Olner
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Researchers from the USI programme of research have produced a diverse range of outputs, including data maps, briefings and 3D models. AQMeN briefing papers to date are listed here: Poverty in suburbia: has Glasgow gone the way of American cities? – November 2014 Religious segregation in Belfast: detecting real change in patterns of population movement – October 2015 Impact Case
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Sorting processes and the resulting selection effects have been recognised as one of the main factors that undermine the reliability of existing UK estimates of the economic value of various social and environmental (dis)amenities and also of neighbourhood effects. Hitherto, lack of data has meant that it has not been possible to resolve the selection bias arising from omitted sorting
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This aim of this programme of research was to advance the measurement (Massey & Denton 1988; Galster & Cutsinger 2007) of residential segregation/inequality in Scotland, estimate its causes (Schelling 1971; Kuminoff & Timmins 2010) and consequences (Galster 2007), and provide comparisons (where possible) with England, Wales and USA. The UK has some of the best data resources in the world
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