A Scalable Analytical Framework for Spatio-Temporal Analysis of Neighbourhood Change: A Sequence Analysis Approach

Nikos Patias (University of Liverpool)

Spatio-temporal changes reflect the complexity of real-life events. Changes in the spatial distribution of population and consumer demand at urban and rural areas are expected to trigger changes in future housing and infrastructure needs. This study presents a scalable analytical framework for understanding spatio-temporal population change, using a sequence analysis approach. We use gridded cell Census data for Great Britain from 1971 to 2011 with 10-year intervals, creating neighbourhood typologies for each Census year. These typologies are then used to analyse transitions of grid cells between different types of neighbourhoods and define representative trajectories of neighbourhood change. The results reveal seven prevalent trajectories of neighbourhood change across Great Britain, identifying neighbourhoods which have experienced stable, upward and downward pathways through the national socioeconomic hierarchy over the last four decades.