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Urban Dynamics Lab

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Mapping inequalities

In order to pinpoint the negative consequences of agglomeration we will map inequalities of various kinds, and investigate the association between these and flows of capital, credit, investment, employment and social and physical infrastructure.

In order to pinpoint the negative consequences of agglomeration we will map inequalities of various kinds, and investigate the association between these and flows of capital, credit, investment, employment and social and physical infrastructure. 

This will include a review of such measures of inequality, as well as revisiting our voting analysis of the partition of Britain which we explored during the last election, as this provides an interesting way of looking at the distribution of cities which is complementary to inequality analysis and city performance.

Our work will assess the ways in which populations in UK regions have evolved differentially over time and have attracted different groups of people in terms of skills, social milieus and geographic origin, both nationally and internationally. 

We will model the evolution of different population groups in different regions over time and estimate their socio-economic success in terms of spatial mobility - as indication of actualised social mobility - as well as health and well-being. The work will highlight the socio-cultural undercurrents in shaping regional disparities in social outcomes, including economic performance and health, mainly reworked through dynamic individual and neighbourhood-level classifications.