Using linked consumer and administrative data to model demographic changes in Londons city fringe

Justin van Dijk, Guy Lansley and Paul Longley

Chapter 4 in Big Data Applications in Geography and Planning, 2021, pp 43-51 from Edward Elgar Publishing

Abstract: Like many other cosmopolitan neighbourhoods around the world, several neighbourhoods in East London have experienced rapid social and demographic change through gentrification. This chapter harnesses linked consumer and administrative data collected over a 20-year period to measure the geodemographic changes that have occurred in three neighbourhoods in London’s city fringe: Hoxton East and Shoreditch, Spitalfields and Banglatown, and Whitechapel. Using an address-level linked database, representative of the vast majority of the adult population in the United Kingdom, we produce highly granular estimations of geodemographic characteristics such as ethnicity and we characterise residential moves by their origins and destinations.

Keywords: Economics and Finance; Geography; Innovations and Technology; Research Methods; Urban and Regional Studies (search for similar items in EconPapers)
Date: 2021
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